Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYong Yu 0001
俞勇
Person information
- unicode name: 俞勇
- affiliation: Shanghai Jiao Tong University, Department of Computer Science, Apex Data and Knowledge Management Lab, China
Other persons with the same name
- Yong Yu — disambiguation page
- Yong Yu 0002
![[0000-0003-0667-077X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0667-077X")
— Shaanxi Normal University, School of Computer Science, Xi'an, China (and 3 more) - Yong Yu 0003 — Kagoshima University, Department of Mechanical Engineering, Japan (and 2 more)
- Yong Yu 0004 — University of Houston, Department of Physics, TX, USA
- Yong Yu 0005 — Broadcom Corporation, Andover, MA, USA (and 1 more)
- Yong Yu 0006 — Ecole Normale Supérieure de Cachan, France (and 1 more)
- Yong Yu 0007 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Yong Yu 0008 — Hong Kong Polytechnic University, Business Division, Institute of Textiles and Clothing, Hong Kong
- Yong Yu 0009 — Yunnan University, School of Software, Kunming, China
- Yong Yu 0010 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Yong Yu 0011 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, China
- Yong Yu 0012 — Chinese University of Hong Kong, Department of Mathematics, Hong Kong
- Yong Yu 0013 — Xi'an Research Institute of High-Tech, Department of Automation, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j58]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)- [j57]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) - [j56]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) - [c348]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 - [c347]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 - [c346]Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen:
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) 2023: 804-817 - [c345]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 - [c344]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 - [c343]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 - [c342]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 - [c341]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 - [c340]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 - [c339]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 - [c338]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 - [c337]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 - [c336]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 - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - 2022
- [j55]Xin Wu, Qing Liu, Jiarui Qin, Yong Yu:
PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels. IEEE Access 10: 6830-6841 (2022) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [c335]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 - [c334]Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu:
Nested Named Entity Recognition with Span-level Graphs. ACL (1) 2022: 892-903 - [c333]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 - [c332]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 - [c331]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 - [c330]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 - [c329]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 - [c328]Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu:
Heterogeneous Graph Representation for Knowledge Tracing. ICONIP (1) 2022: 224-235 - [c327]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 - [c326]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 - [c325]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 - [c324]Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao:
Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. KDD 2022: 4621-4629 - [c323]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 - [c322]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 - [c321]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 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]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 - [i105]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) - [i104]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) - [i103]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) - [i102]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen:
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR abs/2207.04296 (2022) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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
- [j49]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) - [c315]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 - [c314]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 - [c313]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 - [c312]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 - [c311]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 - [c310]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 - [c309]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 - [c308]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 - [c307]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 - [c306]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 - [c305]Jian Yang, Juncheng Wan, Shuming Ma, Haoyang Huang, Dongdong Zhang, Yong Yu, Zhoujun Li, Furu Wei:
Learning to Select Relevant Knowledge for Neural Machine Translation. NLPCC (1) 2021: 79-91 - [c304]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 - [c303]Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu:
Tracing Knowledge State with Individual Cognition and Acquisition Estimation. SIGIR 2021: 173-182 - [c302]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 - [c301]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 - [c300]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855 - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - 2020
- [j48]Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Truth Inference With a Deep Clustering-Based Aggregation Model. IEEE Access 8: 16662-16675 (2020) - [j47]Shuhao Liu, Yong Yu:
Bid-Aware Active Learning in Real-Time Bidding for Display Advertising. IEEE Access 8: 26561-26572 (2020) - [j46]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) - [j45]Guoxin Sui, Yong Yu:
Bayesian Contextual Bandits for Hyper Parameter Optimization. IEEE Access 8: 42971-42979 (2020) - [j44]Huichu Zhang, Markos Kafouros, Yong Yu:
PlanLight: Learning to Optimize Traffic Signal Control With Planning and Iterative Policy Improvement. IEEE Access 8: 219244-219255 (2020) - [c299]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI 2020: 5834-5841 - [c298]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 - [c297]Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu:
Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS 2020: 766-775 - [c296]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 - [c295]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 - [c294]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 - [c293]