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ORCIDWeinan Zhang 0001
Person information
- affiliation: Shanghai Jiao Tong University, John Hopcroft Center for Computer Science, China
- affiliation: University College London, Department of Computer Science, UK
Other persons with the same name
- Weinan Zhang 0002 — University of Missouri, Department of Electrical Engineer and Computer Science, Columbia, USA
- Weinan Zhang 0003
![[0000-0001-5553-178X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5553-178X")
(aka: Wei-Nan Zhang 0003) — Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China (and 1 more) - Weinan Zhang 0004 — Harbin Institute of Technology, School of Mathematics, China (and 1 more)
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Books and Theses
- 2016
[b1]Weinan Zhang:
Optimal real-time bidding for display advertising. University College London, UK, 2016
Journal Articles
- 2024
- [j34]Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu:
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data 18(3): 58:1-58:31 (2024) - 2023
- [j33]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j32]Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang:
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17(6): 176349 (2023) - [j31]Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu:
Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. 20(2): 233-248 (2023) - [j30]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 150:1-150:12 (2023) - [j29]Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang:
Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. 24: 218:1-218:35 (2023) - [j28]Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu:
Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. Sensors 23(6): 3345 (2023) - [j27]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(4): 3389-3403 (2023) - [j26]Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu:
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4018-4032 (2023) - [j25]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu:
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41(4): 98:1-98:31 (2023) - 2022
- [j24]Cheng Chen, Weinan Zhang, Yong Yu:
Efficient policy evaluation by matrix sketching. Frontiers Comput. Sci. 16(5) (2022) - [j23]Handong Ma, Zhecheng Dong, Mingcheng Chen, Wenbo Sheng, Yao Li, Weinan Zhang, Shaodian Zhang, Yong Yu:
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. J. Biomed. Informatics 134: 104210 (2022) - [j22]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123: 108353 (2022) - [j21]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [j20]Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo:
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5361-5373 (2022) - [j19]Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40(2): 25:1-25:29 (2022) - [j18]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. ACM Trans. Inf. Syst. 40(3): 45:1-45:35 (2022) - 2021
- [j17]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access 9: 139303-139314 (2021) - [j16]Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang:
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games 13(4): 410-421 (2021) - [j15]Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo:
Learning Graph Representation With Generative Adversarial Nets. IEEE Trans. Knowl. Data Eng. 33(8): 3090-3103 (2021) - 2020
- [j14]Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Truth Inference With a Deep Clustering-Based Aggregation Model. IEEE Access 8: 16662-16675 (2020) - [j13]Lin Qiu, Dongyu Ru, Quanyu Long, Weinan Zhang, Yong Yu:
QA4IE: A Question Answering Based System for Document-Level General Information Extraction. IEEE Access 8: 29677-29689 (2020) - [j12]Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo:
Probabilistic robust regression with adaptive weights - a case study on face recognition. Frontiers Comput. Sci. 14(5): 145314 (2020) - [j11]Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He:
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205: 106170 (2020) - 2019
- [j10]Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access 7: 166310-166317 (2019) - [j9]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. 37(1): 5:1-5:35 (2019) - 2018
- [j8]Xuezhi Cao, Weinan Zhang, Yong Yu:
A Bootstrapping Framework With Interactive Information Modeling for Network Alignment. IEEE Access 6: 13685-13696 (2018) - [j7]Xinchuan Fu, Rui Yu, Weinan Zhang, Li Feng, Shihai Shao:
Pedestrian Detection by Feature Selected Self-Similarity Features. IEEE Access 6: 14223-14237 (2018) - [j6]Xinchuan Fu, Rui Yu, Weinan Zhang, Jie Wu, Shihai Shao:
Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps. Sensors 18(4): 1063 (2018) - [j5]Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang:
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. IEEE Trans. Knowl. Data Eng. 30(4): 645-659 (2018) - 2017
- [j4]Jun Wang, Weinan Zhang, Shuai Yuan:
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. Found. Trends Inf. Retr. 11(4-5): 297-435 (2017) - 2014
- [j3]Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu:
Bid keyword suggestion in sponsored search based on competitiveness and relevance. Inf. Process. Manag. 50(4): 508-523 (2014) - 2012
- [j2]Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu:
SVDFeature: a toolkit for feature-based collaborative filtering. J. Mach. Learn. Res. 13: 3619-3622 (2012) - [j1]Weinan Zhang, Dingquan Wang, Gui-Rong Xue, Hongyuan Zha:
Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia. ACM Trans. Intell. Syst. Technol. 3(2): 36:1-36:25 (2012)
Conference and Workshop Papers
- 2024
- [c213]Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He:
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. WSDM 2024: 161-170 - 2023
- [c212]Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu:
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI 2023: 5027-5035 - [c211]Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li:
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI 2023: 7530-7538 - [c210]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM 2023: 1004-1013 - [c209]Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu:
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM 2023: 1318-1327 - [c208]Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu:
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM 2023: 4766-4772 - [c207]Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM 2023: 5304-5307 - [c206]Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin:
Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset. ICASSP 2023: 1-5 - [c205]Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang:
Personalized Diversification for Neural Re-ranking in Recommendation. ICDE 2023: 802-815 - [c204]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. ICLR 2023 - [c203]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. ICLR 2023 - [c202]Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai:
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML 2023: 36380-36390 - [c201]Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang:
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA 2023: 5141-5147 - [c200]Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang:
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA 2023: 7250-7257 - [c199]Weinan Zhang:
Large Decision Models. IJCAI 2023: 7062-7067 - [c198]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD 2023: 1384-1395 - [c197]Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu:
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. KDD 2023: 2279-2289 - [c196]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. KDD 2023: 2978-2987 - [c195]Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang:
Dense Representation Learning and Retrieval for Tabular Data Prediction. KDD 2023: 3559-3569 - [c194]Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu:
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD 2023: 4003-4012 - [c193]Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu:
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD 2023: 4685-4695 - [c192]Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu:
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD 2023: 5225-5236 - [c191]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD 2023: 5728-5738 - [c190]Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao:
A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. KDD 2023: 5739-5749 - [c189]Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li:
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. NeurIPS 2023 - [c188]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS 2023 - [c187]Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - [c186]Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang:
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. WSDM 2023: 204-212 - [c185]Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang:
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM 2023: 598-606 - [c184]Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. WSDM 2023: 1057-1065 - [c183]Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu:
A Bird's-eye View of Reranking: From List Level to Page Level. WSDM 2023: 1075-1083 - [c182]Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang:
Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) 2023: 480-484 - 2022
- [c181]Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. AAAI 2022: 5792-5799 - [c180]Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu:
Nested Named Entity Recognition with Span-level Graphs. ACL (1) 2022: 892-903 - [c179]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. AISTATS 2022: 1161-1178 - [c178]Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu:
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. CIKM 2022: 874-883 - [c177]Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li:
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. COLING 2022: 5085-5097 - [c176]Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu:
Automatical Graph-based Knowledge Tracing. EDM 2022 - [c175]Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan:
Inductive Relation Prediction Using Analogy Subgraph Embeddings. ICLR 2022 - [c174]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. ICLR 2022 - [c173]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML 2022: 14173-14196 - [c172]Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu:
Heterogeneous Graph Representation for Knowledge Tracing. ICONIP (1) 2022: 224-235 - [c171]Xianze Wu, Dongyu Ru, Weinan Zhang, Yong Yu, Ziming Feng:
Aggregating Intra-class and Inter-class Information for Multi-label Text Classification. ICONIP (4) 2022: 239-250 - [c170]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c169]Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li:
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI 2022: 3659-3665 - [c168]Minghuan Liu, Menghui Zhu, Weinan Zhang:
Goal-Conditioned Reinforcement Learning: Problems and Solutions. IJCAI 2022: 5502-5511 - [c167]Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang:
Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI 2022: 5512-5520 - [c166]Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang:
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation. KDD 2022: 1152-1161 - [c165]Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang:
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer. KDD 2022: 1162-1172 - [c164]Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu:
Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. KDD 2022: 3468-3476 - [c163]Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao:
Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. KDD 2022: 4621-4629 - [c162]Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao:
User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. KDD 2022: 4630-4638 - [c161]Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c160]Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang:
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS 2022 - [c159]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf:
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation. NeurIPS 2022 - [c158]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS 2022 - [c157]Rongjun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. NeurIPS 2022 - [c156]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS 2022 - [c155]Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang:
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS 2022 - [c154]Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin:
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. NeurIPS 2022 - [c153]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) 2022: 377-392 - [c152]Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang:
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR 2022: 814-824 - [c151]Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Multi-Level Interaction Reranking with User Behavior History. SIGIR 2022: 1336-1346 - [c150]Yanhua Huang, Hangyu Wang, Yiyun Miao, Ruiwen Xu, Lei Zhang, Weinan Zhang:
Neural Statistics for Click-Through Rate Prediction. SIGIR 2022: 1849-1853 - [c149]Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2022: 3488-3491 - [c148]Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. WSDM 2022: 599-607 - [c147]Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. WWW 2022: 2451-2461 - [c146]Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. WWW 2022: 3206-3216 - 2021
- [c145]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. AAAI 2021: 107-115 - [c144]Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang:
Data-Driven Multimodal Patrol Planning for Anti-poaching. AAAI 2021: 15270-15277 - [c143]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. ACL/IJCNLP (1) 2021: 1993-2003 - [c142]Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf:
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS 2021: 1828-1836 - [c141]Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. AAMAS 2021: 809-817 - [c140]Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou:
GAKG: A Multimodal Geoscience Academic Knowledge Graph. CIKM 2021: 4445-4454 - [c139]Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang:
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. CIKM 2021: 4623-4632 - [c138]Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu:
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI 2021: 185-205 - [c137]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-Level Relation Extraction. EMNLP (1) 2021: 1239-1250 - [c136]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR 2021 - [c135]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. IJCAI 2021: 3384-3391 - [c134]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI 2021: 3484-3491 - [c133]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. IJCAI 2021: 4695-4703 - [c132]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. KDD 2021: 1379-1389 - [c131]Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD 2021: 2663-2673 - [c130]Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He:
An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD 2021: 2910-2918 - [c129]Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang:
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD 2021: 4187-4188 - [c128]Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu:
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys 2021 - [c127]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. NeurIPS 2021: 3694-3705 - [c126]Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu:
Curriculum Offline Imitating Learning. NeurIPS 2021: 6266-6277 - [c125]Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li:
Learning to Build High-Fidelity and Robust Environment Models. ECML/PKDD (1) 2021: 104-121 - [c124]Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu:
Model-Based Offline Policy Optimization with Distribution Correcting Regularization. ECML/PKDD (1) 2021: 174-189 - [c123]Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu:
Tracing Knowledge State with Individual Cognition and Acquisition Estimation. SIGIR 2021: 173-182 - [c122]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. SIGIR 2021: 1259-1268 - [c121]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR 2021: 2681-2684 - [c120]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - 2020
- [c119]Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. AAAI 2020: 238-245 - [c118]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI 2020: 7325-7332 - [c117]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. AAAI 2020: 9378-9385 - [c116]Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu:
Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS 2020: 766-775 - [c115]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS 2020: 1966-1968 - [c114]Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM 2020: 1783-1792 - [c113]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM 2020: 2373-2380 - [c112]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c111]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c110]Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI 2020: 1499-1506 - [c109]Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. EMNLP (Findings) 2020: 4908-4917 - [c108]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [c107]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR 2020 - [c106]Hang Lai, Jian Shen, Weinan Zhang, Yong Yu:
Bidirectional Model-based Policy Optimization. ICML 2020: 5618-5627 - [c105]Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. ICML 2020: 10757-10766 - [c104]Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. IJCAI 2020: 1542-1548 - [c103]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. IJCAI 2020: 2326-2332 - [c102]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian:
Efficient and Robust High-Dimensional Linear Contextual Bandits. IJCAI 2020: 4259-4265 - [c101]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. KDD 2020: 75-84 - [c100]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD 2020: 2636-2645 - [c99]Jian Shen, Han Zhao, Weinan Zhang, Yong Yu:
Model-based Policy Optimization with Unsupervised Model Adaptation. NeurIPS 2020 - [c98]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu:
Efficient Projection-free Algorithms for Saddle Point Problems. NeurIPS 2020 - [c97]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-Based Interaction Model for Knowledge Tracing. ECML/PKDD (1) 2020: 299-315 - [c96]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [c95]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020: 179-188 - [c94]Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu:
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. SIGIR 2020: 1917-1920 - [c93]Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
QuAChIE: Question Answering based Chinese Information Extraction System. SIGIR 2020: 2177-2180 - [c92]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. SIGIR 2020: 2347-2356 - [c91]Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR 2020: 2468-2471 - [c90]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM 2020: 465-473 - 2019
- [c89]Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. AAAI 2019: 3312-3320 - [c88]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. AAAI 2019: 4798-4805 - [c87]Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang:
Academic Reader: An Interactive Question Answering System on Academic Literatures. AAAI 2019: 9855-9856 - [c86]Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. ACL (1) 2019: 6140-6150 - [c85]Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM 2019: 1913-1922 - [c84]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 2019: 1983-1992 - [c83]Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CIKM 2019: 2527-2535 - [c82]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [c81]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CIKM 2019: 2645-2653 - [c80]Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye:
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). CIKM 2019: 2995-2996 - [c79]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative adversarial exploration for reinforcement learning. DAI 2019: 6:1-6:10 - [c78]Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang:
Factorized Q-learning for large-scale multi-agent systems. DAI 2019: 7:1-7:7 - [c77]Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Exploring Diverse Expressions for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 3171-3180 - [c76]Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. ICLR (Poster) 2019 - [c75]Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang:
CoT: Cooperative Training for Generative Modeling of Discrete Data. ICML 2019: 4164-4172 - [c74]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [c73]Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. IJCAI 2019: 2279-2285 - [c72]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. KDD 2019: 363-372 - [c71]Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng:
TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. KDD 2019: 3060-3070 - [c70]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. SIGIR 2019: 455-464 - [c69]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [c68]Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang:
CommunityGAN: Community Detection with Generative Adversarial Nets. WWW 2019: 784-794 - [c67]Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. WWW 2019: 2644-2651 - [c66]Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li:
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW 2019: 3620-3624 - 2018
- [c65]Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu:
Neural Link Prediction over Aligned Networks. AAAI 2018: 249-256 - [c64]Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning With Generative Adversarial Nets. AAAI 2018: 2508-2515 - [c63]Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
Efficient Architecture Search by Network Transformation. AAAI 2018: 2787-2794 - [c62]Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
Wasserstein Distance Guided Representation Learning for Domain Adaptation. AAAI 2018: 4058-4065 - [c61]Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Long Text Generation via Adversarial Training with Leaked Information. AAAI 2018: 5141-5148 - [c60]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. AAAI 2018: 6401-6408 - [c59]Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu:
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. AAAI 2018: 8222-8223 - [c58]Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang:
A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS 2018: 2133-2135 - [c57]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM 2018: 1433-1442 - [c56]Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang:
AceKG: A Large-scale Knowledge Graph for Academic Data Mining. CIKM 2018: 1487-1490 - [c55]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CIKM 2018: 2193-2201 - [c54]Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Activation Maximization Generative Adversarial Nets. ICLR (Poster) 2018 - [c53]Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu:
Path-Level Network Transformation for Efficient Architecture Search. ICML 2018: 677-686 - [c52]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. ICML 2018: 5567-5576 - [c51]Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. ICTIR 2018: 43-50 - [c50]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI 2018: 3068-3074 - [c49]Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu:
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. NAACL-HLT 2018: 1-15 - [c48]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering Based Framework for Information Extraction. ISWC (1) 2018: 198-216 - [c47]Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. SIGIR 2018: 1097-1100 - [c46]Weinan Zhang:
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. SIGIR 2018: 1375-1378 - [c45]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy 2018: 53-69 - [c44]Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Jose M. Joemon:
fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. UAI 2018: 198-207 - [c43]Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang:
Improving Negative Sampling for Word Representation using Self-embedded Features. WSDM 2018: 99-107 - 2017
- [c42]Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. AAAI 2017: 2852-2858 - [c41]Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu:
Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM 2017: 1099-1107 - [c40]Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang:
Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. CIKM 2017: 1657-1665 - [c39]Junyu Lai, Wei Zhang, Jie Zhao, Weinan Zhang, Yang Zhang:
An adaptive coding and modulation based multicast scheme to reduce bandwidth consumption in the next generation satellite TV systems. ICNC 2017: 825-830 - [c38]Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu:
Aggregating Crowd Wisdoms with Label-aware Autoencoders. IJCAI 2017: 1325-1331 - [c37]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI 2017: 45-54 - [c36]Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang:
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD 2017: 2051-2059 - [c35]Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu:
Unsupervised Diverse Colorization via Generative Adversarial Networks. ECML/PKDD (1) 2017: 151-166 - [c34]Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang:
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR 2017: 515-524 - [c33]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. WSDM 2017: 581-590 - [c32]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM 2017: 661-670 - [c31]Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Noémie Elhadad:
Cataloguing Treatments Discussed and Used in Online Autism Communities. WWW 2017: 123-131 - [c30]Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu, Noémie Elhadad:
We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. WWW (Companion Volume) 2017: 1073-1081 - 2016
- [c29]Weinan Zhang, Ulrich Paquet, Katja Hofmann:
Collective Noise Contrastive Estimation for Policy Transfer Learning. AAAI 2016: 1408-1414 - [c28]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM 2016: 227-236 - [c27]Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang:
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM 2016: 679-688 - [c26]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. ECIR 2016: 45-57 - [c25]Weinan Zhang, Lingxi Chen, Jun Wang:
Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. ECIR 2016: 589-601 - [c24]Jun Wang, Shuai Yuan, Weinan Zhang:
Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. ECIR 2016: 897-901 - [c23]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-Based Neural Networks for User Response Prediction. ICDM 2016: 1149-1154 - [c22]Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu:
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. KDD 2016: 665-674 - [c21]Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) 2016: 115-131 - [c20]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) 2016: 278-293 - [c19]Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang:
Feedback Control of Real-Time Display Advertising. WSDM 2016: 407-416 - 2015
- [c18]Weinan Zhang, Jun Wang:
Statistical Arbitrage Mining for Display Advertising. KDD 2015: 1465-1474 - [c17]Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola:
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. KDD 2015: 2257-2266 - [c16]Xiaoxue Zhao, Weinan Zhang, Jun Wang:
Risk-Hedged Venture Capital Investment Recommendation. RecSys 2015: 75-82 - 2014
- [c15]Weinan Zhang, Shuai Yuan, Jun Wang:
Optimal real-time bidding for display advertising. KDD 2014: 1077-1086 - 2013
- [c14]Xiaoxue Zhao, Weinan Zhang, Jun Wang:
Interactive collaborative filtering. CIKM 2013: 1411-1420 - [c13]Thomas Stone, Weinan Zhang, Xiaoxue Zhao:
An empirical study of top-n recommendation for venture finance. CIKM 2013: 1865-1868 - [c12]Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao:
To personalize or not: a risk management perspective. RecSys 2013: 229-236 - [c11]Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu:
Optimizing top-n collaborative filtering via dynamic negative item sampling. SIGIR 2013: 785-788 - [c10]Li Tian, Weinan Zhang, Antonis Bikakis, Haofen Wang, Yong Yu, Yuan Ni, Feng Cao:
MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine. Web Intelligence 2013: 233-240 - 2012
- [c9]Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu:
Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. APWeb 2012: 146-157 - [c8]Jiansong Chao, Haofen Wang, Wenlei Zhou, Weinan Zhang, Yong Yu:
A Semantic-Driven Music Recommendation Model for Digital Photo Albums. CSWS 2012: 369-381 - [c7]Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu:
Joint optimization of bid and budget allocation in sponsored search. KDD 2012: 1177-1185 - [c6]Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu:
Local implicit feedback mining for music recommendation. RecSys 2012: 91-98 - [c5]Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu:
A semantic approach to recommending text advertisements for images. RecSys 2012: 179-186 - [c4]Li Tian, Weinan Zhang, Haofen Wang, Chenyang Wu, Yuan Ni, Feng Cao, Yong Yu:
MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data. ISWC (Posters & Demos) 2012 - [c3]Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu:
Collaborative filtering with short term preferences mining. SIGIR 2012: 1043-1044 - [c2]Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, Yong Yu:
Serendipitous Personalized Ranking for Top-N Recommendation. Web Intelligence 2012: 258-265 - 2011
- [c1]Wenlei Zhou, Haofen Wang, Jiansong Chao, Weinan Zhang, Yong Yu:
LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness between Named Entities. JIST 2011: 268-283
Informal and Other Publications
- 2024
- [i203]Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou:
GeoGalactica: A Scientific Large Language Model in Geoscience. CoRR abs/2401.00434 (2024) - [i202]Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu:
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. CoRR abs/2401.08664 (2024) - [i201]Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu:
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR abs/2401.11478 (2024) - [i200]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i199]Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan:
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. CoRR abs/2402.00348 (2024) - [i198]Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang:
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. CoRR abs/2402.02439 (2024) - [i197]Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin:
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. CoRR abs/2402.02772 (2024) - [i196]Longchao Da, Chen Chu, Weinan Zhang, Hua Wei:
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. CoRR abs/2402.06127 (2024) - [i195]Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen:
Entropy-Regularized Token-Level Policy Optimization for Large Language Models. CoRR abs/2402.06700 (2024) - [i194]Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li:
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR abs/2402.14407 (2024) - [i193]Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen:
Offline Fictitious Self-Play for Competitive Games. CoRR abs/2403.00841 (2024) - [i192]Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu:
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. CoRR abs/2403.03536 (2024) - [i191]Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang:
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR abs/2403.05318 (2024) - [i190]Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang:
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. CoRR abs/2403.06221 (2024) - [i189]Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang:
An Aligning and Training Framework for Multimodal Recommendations. CoRR abs/2403.12384 (2024) - [i188]Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu:
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR abs/2403.16378 (2024) - 2023
- [i187]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. CoRR abs/2302.00965 (2023) - [i186]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. CoRR abs/2302.06205 (2023) - [i185]Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin:
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset. CoRR abs/2302.09509 (2023) - [i184]Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang:
FMGNN: Fused Manifold Graph Neural Network. CoRR abs/2304.01081 (2023) - [i183]Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou:
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph. CoRR abs/2304.07242 (2023) - [i182]Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang:
An Empirical Study on Google Research Football Multi-agent Scenarios. CoRR abs/2305.09458 (2023) - [i181]Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang:
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR abs/2305.17330 (2023) - [i180]Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li:
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. CoRR abs/2305.18459 (2023) - [i179]Haoran He, Chenjia Bai, Hang Lai, Lingxiao Wang, Weinan Zhang:
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. CoRR abs/2305.18464 (2023) - [i178]Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu:
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR abs/2306.04234 (2023) - [i177]Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He:
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. CoRR abs/2306.05064 (2023) - [i176]Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang:
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR abs/2306.05817 (2023) - [i175]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR abs/2306.08808 (2023) - [i174]Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR abs/2306.10933 (2023) - [i173]Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang:
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR abs/2306.13945 (2023) - [i172]Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li:
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR abs/2307.00547 (2023) - [i171]Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu:
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR abs/2307.03119 (2023) - [i170]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i169]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR abs/2308.01737 (2023) - [i168]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR abs/2308.02860 (2023) - [i167]Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang:
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. CoRR abs/2308.11131 (2023) - [i166]Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu:
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models. CoRR abs/2309.01940 (2023) - [i165]Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang:
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR abs/2309.12951 (2023) - [i164]Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang:
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR abs/2309.17179 (2023) - [i163]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR abs/2310.04230 (2023) - [i162]Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai:
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR abs/2310.05205 (2023) - [i161]Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang:
Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners. CoRR abs/2310.05208 (2023) - [i160]Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu:
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. CoRR abs/2310.07477 (2023) - [i159]Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. CoRR abs/2310.09234 (2023) - [i158]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. CoRR abs/2310.13892 (2023) - [i157]Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu:
ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. CoRR abs/2310.19453 (2023) - [i156]Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang:
Diffusion Models for Reinforcement Learning: A Survey. CoRR abs/2311.01223 (2023) - [i155]Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong:
Vision-Language Foundation Models as Effective Robot Imitators. CoRR abs/2311.01378 (2023) - [i154]Han Zhang, Quan Gan, David Wipf, Weinan Zhang:
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. CoRR abs/2312.02037 (2023) - 2022
- [i153]Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei:
Phrase-level Adversarial Example Generation for Neural Machine Translation. CoRR abs/2201.02009 (2022) - [i152]Minghuan Liu, Menghui Zhu, Weinan Zhang:
Goal-Conditioned Reinforcement Learning: Problems and Solutions. CoRR abs/2201.08299 (2022) - [i151]Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang:
Towards Collaborative Question Answering: A Preliminary Study. CoRR abs/2201.09708 (2022) - [i150]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. CoRR abs/2201.11679 (2022) - [i149]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative Adversarial Exploration for Reinforcement Learning. CoRR abs/2201.11685 (2022) - [i148]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i147]Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. CoRR abs/2202.03097 (2022) - [i146]Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. CoRR abs/2202.04333 (2022) - [i145]Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang:
Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR abs/2202.06602 (2022) - [i144]Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. CoRR abs/2202.12481 (2022) - [i143]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i142]Xihuai Wang, Zhicheng Zhang, Weinan Zhang:
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects. CoRR abs/2203.10603 (2022) - [i141]Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin:
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. CoRR abs/2203.16406 (2022) - [i140]Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Multi-Level Interaction Reranking with User Behavior History. CoRR abs/2204.09370 (2022) - [i139]Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li:
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR abs/2205.09284 (2022) - [i138]Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang:
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer. CoRR abs/2205.13947 (2022) - [i137]Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang:
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation. CoRR abs/2205.13954 (2022) - [i136]Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang:
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR abs/2205.14953 (2022) - [i135]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf:
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation. CoRR abs/2206.06587 (2022) - [i134]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR abs/2206.08569 (2022) - [i133]Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. CoRR abs/2206.08604 (2022) - [i132]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. CoRR abs/2206.08621 (2022) - [i131]Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu:
A Survey on Model-based Reinforcement Learning. CoRR abs/2206.09328 (2022) - [i130]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR abs/2207.13701 (2022) - [i129]Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu:
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. CoRR abs/2208.01889 (2022) - [i128]Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li:
Forgetting Fast in Recommender Systems. CoRR abs/2208.06875 (2022) - [i127]Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang:
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR abs/2209.08483 (2022) - [i126]Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang:
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. CoRR abs/2210.05662 (2022) - [i125]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR abs/2210.06041 (2022) - [i124]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR abs/2211.03408 (2022) - [i123]Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen:
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - [i122]Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu:
A Bird's-eye View of Reranking: from List Level to Page Level. CoRR abs/2211.09303 (2022) - [i121]Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang:
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. CoRR abs/2212.07740 (2022) - [i120]Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao:
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR abs/2212.09033 (2022) - [i119]Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang:
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. CoRR abs/2212.09078 (2022) - [i118]Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang:
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR abs/2212.12669 (2022) - 2021
- [i117]Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. CoRR abs/2102.00714 (2021) - [i116]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR abs/2103.10432 (2021) - [i115]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. CoRR abs/2103.10860 (2021) - [i114]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i113]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. CoRR abs/2104.10584 (2021) - [i112]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. CoRR abs/2105.03363 (2021) - [i111]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR abs/2105.06350 (2021) - [i110]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR abs/2105.13645 (2021) - [i109]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR abs/2106.07551 (2021) - [i108]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR abs/2108.05252 (2021) - [i107]Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR abs/2108.07107 (2021) - [i106]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR abs/2110.07190 (2021) - [i105]Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu:
Context-aware Reranking with Utility Maximization for Recommendation. CoRR abs/2110.09059 (2021) - [i104]Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu:
Curriculum Offline Imitation Learning. CoRR abs/2111.02056 (2021) - [i103]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR abs/2111.03318 (2021) - [i102]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-level Relation Extraction. CoRR abs/2111.05407 (2021) - [i101]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR abs/2111.08229 (2021) - [i100]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. CoRR abs/2111.08550 (2021) - [i99]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. CoRR abs/2111.10476 (2021) - [i98]Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu:
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR abs/2112.02845 (2021) - 2020
- [i97]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i96]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR abs/2001.09382 (2020) - [i95]Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang:
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. CoRR abs/2002.09803 (2020) - [i94]Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu:
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR abs/2003.06635 (2020) - [i93]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR abs/2003.11235 (2020) - [i92]Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. CoRR abs/2004.08046 (2020) - [i91]Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. CoRR abs/2004.09395 (2020) - [i90]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR abs/2004.14714 (2020) - [i89]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. CoRR abs/2005.14171 (2020) - [i88]Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. CoRR abs/2006.01482 (2020) - [i87]Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang:
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. CoRR abs/2006.04702 (2020) - [i86]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR abs/2006.10389 (2020) - [i85]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. CoRR abs/2007.00216 (2020) - [i84]Hang Lai, Jian Shen, Weinan Zhang, Yong Yu:
Bidirectional Model-based Policy Optimization. CoRR abs/2007.01995 (2020) - [i83]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. CoRR abs/2008.07905 (2020) - [i82]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR abs/2009.01453 (2020) - [i81]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-based Interaction Model for Knowledge Tracing. CoRR abs/2009.05991 (2020) - [i80]Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR abs/2009.08052 (2020) - [i79]Jian Shen, Han Zhao, Weinan Zhang, Yong Yu:
Model-based Policy Optimization with Unsupervised Model Adaptation. CoRR abs/2010.09546 (2020) - [i78]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020) - [i77]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu:
Efficient Projection-Free Algorithms for Saddle Point Problems. CoRR abs/2010.11737 (2020) - [i76]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR abs/2011.00550 (2020) - [i75]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. CoRR abs/2011.12683 (2020) - [i74]Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li:
Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR abs/2012.02975 (2020) - [i73]Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu:
Sobolev Wasserstein GAN. CoRR abs/2012.03420 (2020) - [i72]Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf:
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. CoRR abs/2012.07412 (2020) - [i71]Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang:
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR abs/2012.10171 (2020) - 2019
- [i70]Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang:
CommunityGAN: Community Detection with Generative Adversarial Nets. CoRR abs/1901.06631 (2019) - [i69]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. CoRR abs/1902.05687 (2019) - [i68]Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. CoRR abs/1903.01344 (2019) - [i67]Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu:
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR abs/1904.01184 (2019) - [i66]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR abs/1905.00758 (2019) - [i65]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. CoRR abs/1905.03028 (2019) - [i64]Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li:
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR abs/1905.05217 (2019) - [i63]Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li:
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR abs/1905.05717 (2019) - [i62]Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. CoRR abs/1905.06933 (2019) - [i61]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR abs/1905.11353 (2019) - [i60]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. CoRR abs/1906.01965 (2019) - [i59]Yanru Qu, Ting Bai, Weinan Zhang, Jian-Yun Nie, Jian Tang:
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. CoRR abs/1908.04032 (2019) - [i58]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. CoRR abs/1908.05672 (2019) - [i57]Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CoRR abs/1908.06698 (2019) - [i56]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-level Actor-Critic for Multi-agent Coordination. CoRR abs/1909.03510 (2019) - [i55]Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu:
Signal Instructed Coordination in Team Competition. CoRR abs/1909.04224 (2019) - [i54]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CoRR abs/1910.02591 (2019) - [i53]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR abs/1911.03883 (2019) - [i52]Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR abs/1911.09310 (2019) - 2018
- [i51]Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. CoRR abs/1802.01886 (2018) - [i50]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1802.05438 (2018) - [i49]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR abs/1802.09756 (2018) - [i48]Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang:
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. CoRR abs/1803.02194 (2018) - [i47]Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu:
Collaborative Filtering with Graph-based Implicit Feedback. CoRR abs/1803.03502 (2018) - [i46]Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu:
Neural Text Generation: Past, Present and Beyond. CoRR abs/1803.07133 (2018) - [i45]Li He, Liang Wang, Kaipeng Liu, Bo Wu, Weinan Zhang:
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning. CoRR abs/1803.07347 (2018) - [i44]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR abs/1804.02566 (2018) - [i43]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering based Framework for Information Extraction. CoRR abs/1804.03396 (2018) - [i42]Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu:
CoT: Cooperative Training for Generative Modeling. CoRR abs/1804.03782 (2018) - [i41]Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu:
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. CoRR abs/1804.09021 (2018) - [i40]Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu:
Path-Level Network Transformation for Efficient Architecture Search. CoRR abs/1806.02639 (2018) - [i39]Weinan Zhang:
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. CoRR abs/1806.03577 (2018) - [i38]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR abs/1807.00311 (2018) - [i37]Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. CoRR abs/1807.02299 (2018) - [i36]Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang:
AceKG: A Large-scale Knowledge Graph for Academic Data Mining. CoRR abs/1807.08484 (2018) - [i35]Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR abs/1808.03737 (2018) - [i34]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. CoRR abs/1809.02403 (2018) - [i33]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR abs/1809.03149 (2018) - [i32]Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu:
Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR abs/1809.03738 (2018) - [i31]Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
TGE-PS: Text-driven Graph Embedding with Pairs Sampling. CoRR abs/1809.04234 (2018) - [i30]Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. CoRR abs/1810.00143 (2018) - [i29]Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Weinan Zhang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation. CoRR abs/1811.05685 (2018) - [i28]Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-scale Interactive Recommendation with Tree-structured Policy Gradient. CoRR abs/1811.05869 (2018) - 2017
- [i27]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. CoRR abs/1701.02433 (2017) - [i26]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR abs/1701.02490 (2017) - [i25]Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu:
Unsupervised Diverse Colorization via Generative Adversarial Networks. CoRR abs/1702.06674 (2017) - [i24]Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Generative Adversarial Nets with Labeled Data by Activation Maximization. CoRR abs/1703.02000 (2017) - [i23]Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang:
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR abs/1705.10513 (2017) - [i22]Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
Adversarial Representation Learning for Domain Adaptation. CoRR abs/1707.01217 (2017) - [i21]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR abs/1707.01310 (2017) - [i20]Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang:
Reinforcement Learning for Architecture Search by Network Transformation. CoRR abs/1707.04873 (2017) - [i19]Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu:
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR abs/1709.04511 (2017) - [i18]Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Long Text Generation via Adversarial Training with Leaked Information. CoRR abs/1709.08624 (2017) - [i17]Runze Xu, Zhiming Zhou, Weinan Zhang, Yong Yu:
Face Transfer with Generative Adversarial Network. CoRR abs/1710.06090 (2017) - [i16]Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang:
Improving Negative Sampling for Word Representation using Self-embedded Features. CoRR abs/1710.09805 (2017) - [i15]Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning with Generative Adversarial Nets. CoRR abs/1711.08267 (2017) - [i14]Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang:
A Neural Stochastic Volatility Model. CoRR abs/1712.00504 (2017) - [i13]Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu:
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. CoRR abs/1712.00600 (2017) - 2016
- [i12]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction. CoRR abs/1601.02376 (2016) - [i11]Weinan Zhang, Lingxi Chen, Jun Wang:
Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation. CoRR abs/1601.02377 (2016) - [i10]Weinan Zhang, Kan Ren, Jun Wang:
Optimal Real-Time Bidding Frameworks Discussion. CoRR abs/1602.01007 (2016) - [i9]Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang:
Feedback Control of Real-Time Display Advertising. CoRR abs/1603.01055 (2016) - [i8]Ying Wen, Weinan Zhang, Rui Luo, Jun Wang:
Learning text representation using recurrent convolutional neural network with highway layers. CoRR abs/1606.06905 (2016) - [i7]Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu:
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. CoRR abs/1609.05473 (2016) - [i6]Jun Wang, Weinan Zhang, Shuai Yuan:
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. CoRR abs/1610.03013 (2016) - [i5]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-based Neural Networks for User Response Prediction. CoRR abs/1611.00144 (2016) - 2015
- [i4]Weinan Zhang, Ye Pan, Tianxiong Zhou, Jun Wang:
An Empirical Study on Display Ad Impression Viewability Measurements. CoRR abs/1505.05788 (2015) - [i3]Weinan Zhang, Jun Wang:
Statistical Arbitrage Mining for Display Advertising. CoRR abs/1506.03837 (2015) - 2014
- [i2]Weinan Zhang, Shuai Yuan, Jun Wang:
Real-Time Bidding Benchmarking with iPinYou Dataset. CoRR abs/1407.7073 (2014) - 2011
- [i1]Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, Yong Yu:
Feature-Based Matrix Factorization. CoRR abs/1109.2271 (2011)
Coauthor Index
[j34] [j27] [j26] [j25] [j19] [j17] [j11] [j9] [c212] [c209] [c208] [c205] [c198] [c197] [c193] [c192] [c191] [c187] [c185] [c184] [c183] [c182] [c176] [c167] [c161] [c152] [c151] [c148] [c133] [c132] [c130] [c129] [c128] [c127] [c125] [c122] [c120] [c113] [c103] [c100] [c95] [c89] [i202] [i201] [i192] [i188] [i178] [i176] [i175] [i174] [i169] [i167] [i160] [i159] [i157] [i150] [i145] [i140] [i133] [i132] [i122] [i114] [i113] [i108] [i105] [i103] [i101] [i100] [i93] [i86] [i76] [i47] [i38] [i28]
[j32] [j31] [j30] [j22] [j19] [j10] [j5] [j4] [c210] [c203] [c202] [c201] [c200] [c196] [c188] [c173] [c170] [c155] [c153] [c120] [c118] [c115] [c113] [c112] [c111] [c108] [c105] [c96] [c84] [c83] [c82] [c78] [c63] [c61] [c60] [c59] [c58] [c57] [c55] [c54] [c52] [c51] [c50] [c47] [c42] [c40] [c36] [c34] [c33] [c32] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c19] [c18] [c16] [c15] [c14] [c12] [c11] [i200] [i195] [i186] [i182] [i173] [i168] [i165] [i164] [i163] [i162] [i158] [i143] [i136] [i130] [i121] [i119] [i118] [i114] [i110] [i109] [i98] [i97] [i90] [i88] [i82] [i78] [i76] [i61] [i57] [i56] [i51] [i50] [i49] [i48] [i46] [i37] [i35] [i33] [i32] [i29] [i27] [i26] [i24] [i23] [i21] [i20] [i19] [i18] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
[j34] [j30] [j29] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [j18] [j17] [j14] [j13] [j10] [j9] [j8] [j5] [j2] [c212] [c211] [c210] [c209] [c208] [c201] [c198] [c197] [c194] [c193] [c192] [c188] [c186] [c185] [c184] [c183] [c181] [c180] [c178] [c177] [c176] [c175] [c174] [c173] [c172] [c171] [c170] [c164] [c163] [c162] [c160] [c153] [c152] [c151] [c148] [c147] [c146] [c145] [c143] [c138] [c137] [c136] [c134] [c132] [c131] [c128] [c127] [c124] [c123] [c122] [c120] [c117] [c116] [c114] [c113] [c110] [c109] [c108] [c106] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [c86] [c81] [c79] [c77] [c76] [c74] [c73] [c72] [c71] [c70] [c69] [c67] [c66] [c65] [c63] [c62] [c61] [c59] [c57] [c54] [c53] [c50] [c49] [c48] [c47] [c45] [c42] [c41] [c40] [c38] [c36] [c35] [c32] [c31] [c30] [c27] [c23] [c21] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i202] [i201] [i200] [i193] [i188] [i181] [i178] [i176] [i174] [i171] [i169] [i168] [i167] [i166] [i163] [i160] [i159] [i157] [i156] [i153] [i150] [i149] [i148] [i147] [i146] [i144] [i143] [i140] [i133] [i132] [i130] [i129] [i127] [i126] [i124] [i122] [i121] [i116] [i115] [i114] [i111] [i110] [i108] [i107] [i106] [i105] [i103] [i102] [i101] [i100] [i97] [i94] [i93] [i92] [i90] [i89] [i86] [i85] [i84] [i83] [i81] [i80] [i79] [i77] [i76] [i75] [i73] [i69] [i68] [i67] [i66] [i65] [i64] [i62] [i60] [i58] [i55] [i54] [i53] [i52] [i51] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [i40] [i38] [i35] [i34] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [i13] [i7] [i5] [i1]
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