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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 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, Harbin, China
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2020 – today
- 2023
[j25]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)- [j24]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) - [c175]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 - [c174]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 - [c173]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 - [c172]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 - [i157]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. CoRR abs/2302.00965 (2023) - [i156]Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang:
Order Matters: Agent-by-agent Policy Optimization. CoRR abs/2302.06205 (2023) - [i155]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) - 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) - [c171]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 - [c170]Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu:
Nested Named Entity Recognition with Span-level Graphs. ACL (1) 2022: 892-903 - [c169]Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao:
Towards Return Parity in Markov Decision Processes. AISTATS 2022: 1161-1178 - [c168]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 - [c167]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 - [c166]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 - [c165]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 - [c164]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 - [c163]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 - [c162]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 - [c161]Minghuan Liu, Menghui Zhu, Weinan Zhang:
Goal-Conditioned Reinforcement Learning: Problems and Solutions. IJCAI 2022: 5502-5511 - [c160]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 - [c159]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 - [c158]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 - [c157]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 - [c156]Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao:
Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. KDD 2022: 4621-4629 - [c155]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 - [c154]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 - [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 - [i154]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) - [i153]Minghuan Liu, Menghui Zhu, Weinan Zhang:
Goal-Conditioned Reinforcement Learning: Problems and Solutions. CoRR abs/2201.08299 (2022) - [i152]Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang:
Towards Collaborative Question Answering: A Preliminary Study. CoRR abs/2201.09708 (2022) - [i151]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) - [i150]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) - [i149]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i148]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) - [i147]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) - [i146]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) - [i145]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) - [i144]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) - [i143]Xihuai Wang, Zhicheng Zhang, Weinan Zhang:
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects. CoRR abs/2203.10603 (2022) - [i142]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) - [i141]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) - [i140]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) - [i139]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) - [i138]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) - [i137]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) - [i136]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) - [i135]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR abs/2206.08569 (2022) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li:
Forgetting Fast in Recommender Systems. CoRR abs/2208.06875 (2022) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]Jiarui Jin, Yangkun Wang, Weinan Zhang, Quan Gan, Xiang Song, Yong Yu, Zheng Zhang, David Wipf:
Refined Edge Usage of Graph Neural Networks for Edge Prediction. CoRR abs/2212.12970 (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) - [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 - [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]