Weinan ZHANG 

Associate Professor

John Hopcroft Center for Computer Science
Department of Computer Science & Engineering
Shanghai Jiao Tong University

307 Yifu Building, 800 Dongchuan Road
Shanghai, 200240, China

Email: wnzhang [AT] sjtu.edu.cn

Weinan Zhang is now a tenure-track associate professor at Shanghai Jiao Tong University. His research interests include (multi-agent) reinforcement learning, deep learning and data science with various real-world applications of recommender systems, search engines, text mining & generation, knowledge graphs, game AI etc. He has published over 80 research papers on international conferences and journals and has been serving as a (senior) PC member at ICML, NeurIPS, ICLR, KDD, AAAI, IJCAI, SIGIR etc. and a reviewer at JMLR, TOIS, TKDE, TIST etc. He was granted as Top-20 Rising Stars in 2016 by Microsoft Research, Best Paper Honorable Mention Award in SIGIR 2017, ACM Shanghai Rising Star Award 2017, Alibaba DAMO Young Scholar Award 2018 and the Best Paper Awards in DLP-KDD 2019 and DLG-KDD 2021 Workshops.

Weinan earned his Ph.D. from University College London in 2016 and B.Eng. from ACM Class of Shanghai Jiao Tong University in 2011. He was an intern at Microsoft Research, Google and DERI.

Prospective Ph.D. students: I am looking for outstanding and highly motivated Ph.D. students to work together on advanced information retrieval, deep reinforcement learning, graph deep learning and various data mining topics. Please email me with your CV and transcripts.

Notices:

Teaching


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CS420: Machine Learning
ACM Class, Zhiyuan College, Shanghai Jiao Tong University
2017-2021

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CS492 & AI3601: Reinforcement Learning
ACM Class, Zhiyuan College, and AI Class, SEIEE, Shanghai Jiao Tong University
2020-2021

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EE448: Big Data Mining
SEIEE, Shanghai Jiao Tong University
2018-2020

Books/Monographs


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Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
Jun Wang, Weinan Zhang, Shuai Yuan
Now Publisher, Volume 11, Issue 4-5, 2017

Tutorials


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Muti-Agent Reinforcement Learning
Jun Wang, Weinan Zhang
SJTU 2-day tutorial, Oct. 2018.

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Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances
Weinan Zhang
SIGIR 3-hour tutorial, Jul. 2018.

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Learning, Prediction and Optimisation in RTB Display Advertising
Weinan Zhang, Jian Xu
CIKM, Oct. 2016.

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Real-Time Bidding based Display Advertising: Mechanisms and Algorithms
Jun Wang, Shuai Yuan, Weinan Zhang
ECIR, Mar. 2016.

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Paper Collection of Real-Time Bidding
Weinan Zhang
Github 2015.

Featured Open Source Projects


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MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2021.

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang et al.
CoRL 2020.

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CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
Demo in WWW 2019.

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MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence
Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu
Demos in NIPS 2017 & AAAI 2018.  

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Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu
SIGIR 2018.  

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SVDFeature: A Toolkit for Feature-based Collaborative Filtering
Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu
JMLR 2013.  

Paper Publications [Google Scholar]


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Learning to Select Cuts for Efficient Mixed-Integer Programming
Zeren Huang, Kerong Wang, Furui Liu, Hui-ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Pattern Recognition 2022.

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Improving Knowledge Tracing with Collaborative Information
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
WSDM 2022.

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On Effective Scheduling of Model-based Reinforcement Learning
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
NeurIPS 2021.

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Curriculum Offline Imitating Learning
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
NeurIPS 2021.

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Learning Logic Rules for Document-Level Relation Extraction
Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li
EMNLP 2021.

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LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature
Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang
CIKM 2021.

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GAKG: A Multimodal GeoScience Academic Knowledge Graph
Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou
CIKM 2021.

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Bag of Tricks for Node Classification with Graph Neural Networks
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yong Yu, Zheng Zhang, David Wipf
DLG-KDD 2021. (Best Paper Award)

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GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
TOIS 2021.

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Learning to Build High-fidelity and Robust Environment Models
Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang and Zhenguo Li
ECMLPKDD 2021.

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Model-based offline Policy Optimization with Distribution Correcting Regularization
Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang and Yong Yu
ECMLPKDD 2021.

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Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
IEEE Transactions on Games 2021.

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Retrieval & Interaction Machine for Tabular Data Prediction
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
KDD 2021.

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An Embedding Learning Framework for Numerical Features in CTR Prediction
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
KDD 2021.

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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
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
KDD 2021.

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Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou
IJCAI 2021.

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MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
IJCAI 2021.

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Deep Learning for Click-Through Rate Estimation
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
IJCAI 2021 (Survey Track).

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Glancing Transformer for Non-Autoregressive Neural Machine Translation
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li
ACL 2021.

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Beyond Relevance Ranking: A General Graph Matching Framework for Utility-oriented Learning to Rank
Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu
TOIS 2021.

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Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads
Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo
TNNLS 2021.

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Tracing Knowledge State with Individual Cognition and Acquisition Estimation
Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang and Yong Yu
SIGIR 2021.

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A Graph-Enhanced Click Model for Web Search
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao and Yong Yu
SIGIR 2021.

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An Adversarial Imitation Click Model for Information Retrieval
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
WWW 2021.

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MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
ICLR 2021.

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ModularNAS: Towards Modularized and Reusable Neural Architecture Search
Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu
MLSys 2021.

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Energy-Based Imitation Learning
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
AAMAS 2021.

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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
AISTATS 2021.

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Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
AAAI 2021.

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang et al.
CoRL 2020. (Best System Paper Award)

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Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
NeurIPS 2020.

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Efficient Projection-free Algorithms for Saddle Point Problems
Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu
NeurIPS 2020.

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Bidirectional Model-based Policy Optimization
Hang Lai, Jian Shen, Weinan Zhang, Yong Yu
ICML 2020.  

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Multi-Agent Determinantal Q-Learning
Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
ICML 2020.  

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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu
CIKM 2020.  

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
CIKM 2020.  

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Learning to Infer User Hidden States for Online Sequential Advertising
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
CIKM 2020.  

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An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alex Smola
KDD 2020.  

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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
KDD 2020.  

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Spatio-Temporal Meta Learning for Urban Traffic Prediction
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, and Yu Zheng
TKDE 2020.  

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State Representation Modeling for Deep Reinforcement Learning based Recommendation
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
Knowledge-Based Systems 2020.  

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User Behavior Retrieval for Click-Through Rate Prediction
Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang and Yong Yu
SIGIR 2020.  

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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He and Yong Yu
SIGIR 2020.  

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A Deep Recurrent Survival Model for Unbiased Ranking
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu and Kun Gai
SIGIR 2020.  

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DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
IJCAI 2020.  

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Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder
Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu
IJCAI 2020.  

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Efficient and Robust High-Dimensional Linear Contextual Bandits
Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian
IJCAI 2020.  

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GIKT: A Graph-based Interaction Model for Knowledge Tracing
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang and Yong Yu
ECMLPKDD 2020.  

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Multi-Agent Interactions Modeling with Correlated Policies
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
ICLR 2020.  

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GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
ICLR 2020.  

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Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
AAAI 2020.  

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Towards Making the Most of BERT in Neural Machine Translation
Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li
AAAI 2020.  

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Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang
AAAI 2020.  

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Learning Graph Representation with Generative Adversarial Nets
Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo
TKDE 2020.  

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Improve Unsupervised Domain Adaptation with Variational Information Bottleneck
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
ECAI 2020.  

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Efficient Spectrum-Revealing CUR Matrix Decomposition
Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu
AISTATS 2020.  

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
WSDM 2020.  

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Exploring Diverse Expressions for Paraphrase Generation
Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu
EMNLP 2019.  

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Generative Adversarial Exploration for Reinforcement Learning
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
DAI 2019.  

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Factorized Q-learning for Large-scale Multi-agent Systems
Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang
DAI 2019.  

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CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
CIKM 2019.  

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
CIKM 2019.  

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CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
CIKM 2019.  

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Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
CIKM 2019.  

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Learning Adaptive Display Exposure for Real-Time Advertising
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
CIKM 2019.  

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Dynamically Fused Graph Network for Multi-hop Reasoning
Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
ACL 2019.  

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CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang, Yong Yu
ICML 2019.  

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Lipschitz Generative Adversarial Nets
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
ICML 2019.  

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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu
IJCAI 2019.  

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Deep Landscape Forecasting for Real-time Bidding Advertising
Kan Ren, Jiarui Qin, Lei Zheng, Weinan Zhang, Yong Yu
KDD 2019.  

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TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme
Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu and Yu Zheng
KDD 2019.  

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An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation
Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie, Jian Tang
DLP-KDD 2019. (Best Paper Award)

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Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu and Kun Gai
SIGIR 2019.  

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Triple-to-Text: Converting RDF Triples into High Quality Natural Languages via Optimizing an Inverse KL Divergence
Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang and Yong Yu
SIGIR 2019.  

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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu
ICLR 2019.  

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CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang
WWW 2019.  

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Sampled in Pairs and Driven by Text: A New Graph Embedding Framework
Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu
WWW 2019.  

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
AAAI 2019.  

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Deep Recurrent Survival Analysis
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
AAAI 2019.  

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Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
CIKM 2018.  

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Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang
CIKM 2018.  

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Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang
ICML 2018.  

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Path-Level Network Transformation for Efficient Architecture Search
Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu
ICML 2018.  

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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
ACM TOIS 2018.  

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A Bootstrapping Framework With Interactive Information Modeling for Network Alignment
Xuezhi Cao, Weinan Zhang, Yong Yu
IEEE Access 2018.  

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Pedestrian detection by feature selected self-similarity features
Xinchuan Fu, Rui Yu, Weinan Zhang, Li Feng, Shihai Shao
IEEE Access 2018.  

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Delving deep into multiscale pedestrian detection via single scale feature maps
Xinchuan Fu, Rui Yu, Weinan Zhang, Jie Wu, Shihai Shao
Sensors 2018.  

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Learning to Design Games: Strategic Environments in Deep Reinforcement Learning
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li
IJCAI 2018.  

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fBGD: Learning Embeddings From Positive Unlabeled Data with BGD
Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Chua Tat-Seng, Joemon M. Jose
UAI 2018.  

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Activation Maximization Generative Adversarial Nets
Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Yong Yu, Jun Wang
ICLR 2018.  

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A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
AAMAS 2018.  

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A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
S&P (Oakland) 2018.  

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QA4IE: A Question Answering based Framework for Information Extraction
Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu
ISWC 2018.  

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Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu
NAACL HLT 2018.   (Oral presentation 6.73%)

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A Neural Stochastic Volatility Model
Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang
AAAI 2018.  

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Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang
AAAI 2018.  

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Efficient Architecture Search by Network Transformation
Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang
AAAI 2018.  

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GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo
AAAI 2018.  

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Neural Link Prediction over Aligned Networks
Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu
AAAI 2018.  

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Wasserstein Distance Guided Representation Learning for Domain Adaptation
Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu
AAAI 2018.  

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Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
TKDE 2018.  

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Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation
Yiyang Li, Guanyu Tao, Weinan Zhang, Jun Wang and Yong Yu
CIKM 2017.  

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Volume Ranking and Sequential Selection in Programmatic Display Advertising
Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu
CIKM 2017.  

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Unsupervised Diverse Colorization via Generative Adversarial Networks
Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu
ECML-PKDD 2017.   (Accept rate: 27.1%)

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Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
KDD 2017.   (Accept rate: 21.5%)

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Aggregating Crowd Wisdoms with Label-aware Autoencoders
Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu
IJCAI 2017.   (Accept rate: 26.0%)

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IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
SIGIR 2017.   (Accept rate: 21.5%; Best Paper Honorable Mention Award)

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"We make choices we think are going to save us": Debate and stance identification for online breast cancer CAM discussions
Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu and Noemie Elhadad
WWW 2017.   (Web Science Track)

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Cataloguing Treatments Discussed and Used in Online Autism Communities
Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu and Noemie Elhadad
WWW 2017.   (Accept rate: 17.0%)

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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
AAAI 2017.   (Accept rate: 24.6%)

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BoostFM: Boosted Factorization Machines for top-N Feature-based Recommendation
Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang
IUI 2017.

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Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu and Defeng Guo
WSDM 2017.   (Accept rate: 15.8%)

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Managing Risk of Bidding in Display Advertising
Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
WSDM 2017.   (Accept rate: 15.8%)

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Product-based Neural Networks for User Response Prediction
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
ICDM 2016.   (Accept rate: 19.6%)

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User Response Learning for Directly Optimizing Campaign Performance in Display Advertising
Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
CIKM 2016.   (Industry track accept rate: 19.8%)

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LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
Fajie Yuan, Guibin Guo, Joemon Jose, Long Chen, Haitao Yu, Weinan Zhang
CIKM 2016.   (Research track accept rate: 17.6%)

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Functional Bid Landscape Forecasting for Display Advertising
Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
ECML-PKDD 2016.  

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Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising
Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu
KDD 2016.   (Accept rate: 16.8%)

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Optimal Real-Time Bidding for Display Advertising
Weinan Zhang
PhD Thesis 2016.   (University College London)

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Learning Text Representation using Recurrent Convolutional Neural Network with Highway Layers
Ying Wen, Weinan Zhang, Rui Luo, Jun Wang
NeuIR 2016.   (SIGIR Workshop)

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Deep Learning over Multi-Field Categorical Data: A Case Study on User Response Prediction
Weinan Zhang, Tianming Du, Jun Wang
ECIR 2016.   (Accept rate: 21%)

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Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation
Weinan Zhang, Lingxi Chen, Jun Wang, Thomas Furmston
ECIR 2016.   (Accept rate: 21%)

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Collective Noise Contrastive Estimation for Policy Transfer Learning
Weinan Zhang, Ulrich Paquet, Katja Hofmann
AAAI 2016.   (Accept rate: 25.8%)

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Feedback Control of Real-Time Display Advertising
Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang
WSDM 2016.   (Accept rate: 18.2%)

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Risk-Hedged Venture Capital Investment Recommendation
Xiaoxue Zhao*, Weinan Zhang*, Jun Wang
RecSys 2015.   (Accept rate: 21.4%)

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Statistical Arbitrage Mining for Display Advertising
Weinan Zhang, Jun Wang
KDD 2015.   (Accept rate: 19.4%)

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Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails
Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alex J. Smola
KDD 2015.   (I&G track; accept rate: 34.2%)

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Optimal Real-Time Bidding for Display Advertising
Weinan Zhang, Shuai Yuan, Jun Wang
KDD 2014.   (Accept rate: 14.6%)

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Real-Time Bidding Benchmarking with iPinYou Dataset
Weinan Zhang, Shuai Yuan, Jun Wang, Xuehua Shen
CoRR 2014.    abs/1407.7073

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Bid Keyword Suggestion in Sponsored Search based on Competitiveness and Relevance
Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu
IPM.   2014 Vol. 50, No. 4. DOI=10.1016/j.ipm.2014.02.004

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To Personalize or Not: A Risk Management Perspective
Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao
RecSys 2013.   (Accept rate: 23.8%)

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An Empirical Study of Top-N Recommendation for Venture Finance
Thomas Stone, Weinan Zhang, Xiaoxue Zhao
CIKM 2013. (poster)

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Interactive Collaborative Filtering
Xiaoxue Zhao*, Weinan Zhang*, Jun Wang
CIKM 2013.   (Accept rate: 16.9%)

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Optimizing Top-N Collaborative Filtering via Dynamic Negative Item Sampling
Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu
SIGIR 2013. (short paper)

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MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine
Li Tian, Weinan Zhang, Antonis Bikakis, Haofen Wang, Yong Yu, Yuan Ni, Feng Cao
WI 2013.

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SVDFeature: A Toolkit for Feature-based Collaborative Filtering
Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu
JMLR.    13 (2012) 3619-3622

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A Semantic Approach to Recommending Text Advertisements for Images
Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu
RecSys 2012.   (Accept rate: 20.2%)

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Joint Optimization of Bid and Budget Allocation in Sponsored Search
Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan and Tie-Yan Liu
KDD 2012.  (Accept rate: 17.6%)

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Serendipitous Personalized Ranking for Top-N Recommendation
Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, Yong Yu
WI 2012.    Best paper nominee

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MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data
Li Tian, Weinan Zhang, Haofen Wang, Chenyang Wu, Yuan Ni, Feng Cao, Yong Yu
ISWC 2012. (poster)

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Local Implicit Feedback Mining for Music Recommendation
Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu
RecSys 2012.   (Accept rate: 20.2%)

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Collaborative filtering with short term preferences mining
Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu
SIGIR 2012. (poster)

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Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia
Weinan Zhang, Dingquan Wang, Gui-Rong Xue, and Hongyuan Zha
ACM TIST.    Vol. 3, No. 2. DOI=10.1145/2089094.2089112

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Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones
Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu
APWeb 2012.

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TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums
Jiansong Chao, Haofen Wang, Wenlei Zhou, Weinan Zhang and Yong Yu
ISWC 2011. (poster)

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Informative Household Recommendation with Feature-based Matrix Factorization
Qiuxia Lu, Diyi Yang, Tianqi Chen, Weinan Zhang and Yong Yu
RecSys 2011.    CAMRa Workshop

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Informative Ensemble of Multi-Resolution Dynamic Factorization Models
Tianqi Chen, Zhao Zheng, Qiuxia Lu, Xiao Jiang, Yuqiang Chen, Weinan Zhang, Kailong Chen, Yong Yu, Nathan N. Liu, Bin Cao, Luheng He and Qiang Yang
KDD 2011.    KDD-CUP' 11 Workshop

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Feature-Based Matrix Factorization
Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, Yong Yu
CoRR 2011.    abs/1109.2271

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LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness Between Named Entities
Wenlei Zhou, Haofen Wang, Jiansong Chao, Weinan Zhang and Yong Yu
JIST 2011.   

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Deep Classifier for Large Scale Hierarchical Text Classification
Dingquan Wang,Weinan Zhang, Gui-Rong Xue, and Yong Yu
LSHTC 2009. (short paper)

Internships

MediaGamma Limited
Research Intern, Data Science Group, supervised by Jun Wang and Rael Cline.
London, United Kingdom    Jun. 2015 - Aug. 2015
Microsoft Research Cambridge
Research Consultant, Machine Learning and Perception Group, supervised by Ulrich Paquet and Katja Hofmann.
Cambridge, United Kingdom    Feb. 2015 - Jun. 2015
Microsoft Research Cambridge
Research Intern, Machine Learning and Perception Group, supervised by Ulrich Paquet and Thore Graepel.
Cambridge, United Kingdom    Sep. 2014 - Nov. 2014
Google Inc.
Software Engineering Intern, Strategic Technology Group, supervised by Jie Yang and Vanja Josifovski.
Mountain View, United States    Sep. 2013 - Dec. 2013
Digital Enterprise Research Institute
Research Intern, Social Software Unit, supervised by Alexandre Passant.
Galway, Ireland    Jul. 2011 - Sep. 2011
Microsoft Research Asia
Research Intern, Internet Economics & Computational Ads Group, supervised by Bin Gao and Tie-Yan Liu.
Beijing, China    Jul. 2010 - Jan. 2011

Datasets

AceKG Academic Knowledge Graph
Acemap Knowledge Graph (AceKG), supported by Acemap, is now open to everyone for research and non-commercial use. We hope this knowledge graph will benefit the research and development for academic data mining.
Data description and benchmarking paper.
iPinYou RTB Ad Logs
The first public large-scale Real-time bidding advertising log dataset, it is released after iPinYou 2013 RTB competition. We help publish the dataset on the UCL server.
Data analysis and benchmarking paper.
CrunchBase Venture Capital Investments
This dataset is collected in May 2014 based on the CrunchBase offical data API. It contains the investment records of VC firms and individual partners.
RecSys 2015 paper.

Competitions

iPinyou DSP 2013
Real-time bidding strategy optimization for demand side platforms.
CAMERa 2011
Context-aware movie recomendation challenge.
KDD Cup 2011
Yahoo! music recommendation challenge.
Yahoo! Learning to Rank Challenge 2010
Ranking top retrieved Web pages from Yahoo! search engine.
LSHTC 2009
Large-scale deep hierarchy text classification challenge.

News


16 Aug 2021
Our paper wins the best paper award at DLG-KDD 2019.

2 May 2021
I serve as an Area Chair at NeurIPS, IJCAI, ICDM 2021.

2 May 2020
I co-organize 2nd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2020.

1 May 2020
I co-organize SIGIR 2020 Workshop on Deep Reinforcement Learning for Information Retrieval.

8 Aug 2019
Our paper wins the best paper award at DLP-KDD 2019.

3 Nov 2018
I will serve as a sponsorship chair at CIKM 2019.

1 Nov 2018
Two full papers and one demo paper accapted at AAAI 2019.

26 Sep 2018
I am honored to be granted Qingcheng Award from Alibaba.

12 May 2018
Two papers on RL and AutoML accepted at ICML 2018.

22 Mar 2018
I will give a tutorial on GANs for IR at SIGIR 2018.

30 Jan 2018
Our AM-GAN paper gets accepted at ICLR 2018.

1 Jan 2018
I will serve as a senior PC member at SIGIR 2018.

3 Dec 2017
Our MAgent platform is presented at NIPS 2017.

18 Nov 2017
Visited NEU, MIT and Harvard and give talks "GANs with Reinforcement Learning".

10 Nov 2017
Papers accepted at AAAI 2018, WSDM 2018 and TKDE 2018.

4 Aug 2017
Two papers accepted at CIKM 2017.

25 May 2017
Papers accepted in SIGIR, IJCAI and KDD 2017.

21 Dec 2016
A paper on medical informatics is accepted at WWW 2017.

12 Nov 2016
A paper on combining GAN and PG is accepted at AAAI 2017.

18 Sep 2016
Two papers on RTB display advertising bidding strategies are accepted at WSDM 2017.

10 Sep 2016
Our paper on DNN for ad click prediction is accepted at ICDM 2016.

9 Aug 2016
Start to work at SJTU. Serveral papers and one tutorial are accepted.