张伟楠博士现任上海交通大学计算机系教授、博士生导师、副系主任，科研领域包括强化学习和数据科学，相关研究成果在CCF-A类国际会议和期刊上发表100余篇学术论文，谷歌学术引用2万余次，爱思唯尔中国高被引学者，获得5个最佳论文奖项，出版教材《动手学强化学习》和《动手学机器学习》。张伟楠长期担任NeurIPS、ICML、ICLR、KDD等会议的领域主席和TPAMI、FCS等期刊的编委，作为负责人承担国家自然科学基金优秀青年项目和科技部2030新一代人工智能重大项目课题，入选中国科协青年人才托举工程和上海市科委英才扬帆计划，获得吴文俊人工智能优秀青年奖和达摩院青橙奖。张伟楠于2011年获得上海交通大学计算机系ACM班学士学位，于2016年获得伦敦大学学院计算机系博士学位。

Weinan Zhang is now a professor at the department of computer science and engineering, Shanghai Jiao Tong University. His research interests include reinforcement learning and data science with various real-world applications of robotic control, game AI, recommender systems, etc. He has published over 200 research papers at prestigious international conferences and journals, accumulating over 20k citations on Google Scholar, been selected as Elsevier China Highly Cited Researcher. He has been serving as an area chair at ICML, NeurIPS, ICLR, KDD, etc. and an associate editor at TPAMI and FCS. He was granted the ACM Rising Star Award 2017 and the Alibaba DAMO Young Scholar Award 2018. His research won five best paper awards at international conferences and workshops, including the Best Paper Honorable Mention Award at SIGIR 2017 and the Best System Paper Award at CoRL 2020. Weinan earned his Ph.D. from the Computer Science Department of University College London in 2016 and his B.E. from the ACM Honored Class of Shanghai Jiao Tong University in 2011.

Prospective Ph.D. students: I am looking for outstanding and highly motivated Ph.D. students to work together on large decision (action) models, AI agents, deep reinforcement learning, robot learning, and various data science topics. Please email me with your CV and transcripts.

Notices:

书籍出版

动手学机器学习 张伟楠、赵寒烨、俞勇 人民邮电出版社，2023 ISBN: 978-7115-61820-7	动手学强化学习 张伟楠、沈键、俞勇 人民邮电出版社，2022 ISBN: 978-7-115-58451-9

Teaching

link	Machine Learning ACM Class, Zhiyuan College, Shanghai Jiao Tong University 2017-now

link	Reinforcement Learning ACM Class, Zhiyuan College (and AI Class, SEIEE until 2022), Shanghai Jiao Tong University 2020-now

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

Tutorials

link	3小时强化学习入门教程 Weinan Zhang RLChina 2022-2024.

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

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

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

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

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

Featured Open Source Projects

link	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.

link	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.

link	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.

link	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.

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

link	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]

pdf	DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang ICML 2024.

pdf	AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang ICML 2024.

pdf	TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang SIGIR 2024.

pdf	RACon: Retrieval-Augmented Simulated Character Locomotion Control Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang ICME 2024.

pdf	ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang WWW 2024.

pdf	ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang WWW 2024.

pdf	M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu WWW 2024.

pdf	InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian McAuley WWW 2024.

pdf	HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu WWW 2024.

pdf	Multi-sourced Integrated Ranking with Exposure Fairness Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu PAKDD 2024.

pdf	Attacking Click-through Rate Predictors via Generating Realistic Fake Samples Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao TKDD 2024.

pdf	Vision-Language Foundation Models as Effective Robot Imitators Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong ICLR 2024.

pdf	ODICS: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan ICLR 2024.

pdf	An Empirical Study on Google Research Football Multi-agent Scenarios Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang MIR 2024.

pdf	Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future Yan Song, Jiang He, Haifeng Zhang, Zheng Tian, Weinan Zhang and Jun Wang AAMAS 2024.

pdf	Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang TOIS 2024.

pdf	K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He WSDM 2024.

pdf	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjng Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Yong Yu, Jun Wang JMLR 2023.

pdf	Adaptation Augmented Model-based Policy Optimization Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang JMLR 2023.

pdf	Large Decision Models Weinan Zhang IJCAI 2023.

pdf	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai ICML 2023.

pdf	Learning to Retrieve User Behaviors for Click-Through Rate Estimation Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Yong Yu TOIS 2023.

pdf	Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu AAAI 2023.

pdf	Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li AAAI 2023.

pdf	A survey on model-based reinforcement learning Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu SCIS 2023.

pdf	A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao KDD 2023.

pdf	On-device Integrated Re-ranking with Heterogeneous Behavior Modeling Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu KDD 2023.

pdf	Deep Landscape Forecasting in Multi-Slot Real-Time Bidding Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu KDD 2023.

pdf	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu KDD 2023.

pdf	Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang KDD 2023.

pdf	Dense Representation Learning and Retrieval for Tabular Data Prediction Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang KDD 2023.

pdf	GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu KDD 2023.

pdf	MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang KDD 2023.

pdf	Specify Robust Causal Representation from Mixed Observations Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang KDD 2023.

pdf	Personalized Diversification for Neural Re-ranking in Recommendation Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang ICDE 2023.

pdf	Order Matters: Agent-by-agent Policy Optimization Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang ICLR 2023.

pdf	Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng YAN, Zhongwen Xu ICLR 2023.

pdf	PerfectDou: Dominating DouDizhu with Perfect Information Distillation Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin NeurIPS 2022.

pdf	Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li NeurIPS 2022.

pdf	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang NeurIPS 2022.

pdf	Reinforcement Learning with Automated Auxiliary Loss Search Tairan He, Yuge Zhang, Kan Ren, Che Wang, Minghuan Liu, Weinan Zhang, Dongsheng Li, Yuqing Yang NeurIPS 2022.

pdf	Learning Enhanced Representation for Tabular Data via Neighborhood Propagation Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf NeurIPS 2022.

pdf	NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rong-Jun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu NeurIPS 2022. (Datasets and Benchmarks Track)

pdf

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning Hua Wei, Jingxiao Chen, Xiyang Ji, Qin Hongyang, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Linc, Lanxiao Huang, Deheng Ye, Qiang Fu, Yang Wei NeurIPS 2022. (Datasets and Benchmarks Track)

pdf	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang ECMLPKDD 2022.

pdf	Multi-Scale User Behavior Network for Entire Space Multi-Task Learning Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su and Yong Yu CIKM 2022.

pdf	Heterogeneous Graph Representation for Knowledge Tracing Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang and Yong Yu ICONIP 2022.

pdf	Aggregating Intra-class and Inter-class information for Multi-label Text Classification Xianze Wu, Dongyu Ru, Weinan Zhang, Yong Yu and Ziming Feng ICONIP 2022.

pdf	Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Yong Yu, Wenbo Sheng, Shaodian Zhang KDD 2022.

pdf	Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao KDD 2022.

pdf	User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao KDD 2022.

pdf	Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang KDD 2022.

pdf	Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang KDD 2022.

pdf	Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang ICML 2022.

pdf	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang ECMLPKDD 2022.

pdf	Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu, Menghui Zhu, Weinan Zhang IJCAI 2022 (Survey Track).

pdf	Neural Re-ranking in Multi-stage Recommender Systems: A Review Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang IJCAI 2022 (Survey Track).

pdf	RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang SIGIR 2022.

pdf	Multi-Level Interaction Reranking with User Behavior History Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Rui Zhang, Weinan Zhang, Yong Yu SIGIR 2022.

pdf	Nested Named Entity Recognition with Span-level Graphs Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu ACL 2022.

pdf	Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang ICRA 2022.

pdf	Inductive Relation Prediction Using Analogy Subgraph Embeddings Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan ICLR 2022.

pdf	Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yang Yongyi, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf ICLR 2022.

pdf	Learn from Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu WWW 2022.

pdf	Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Zaifan Jiang, Zhewen Su, Yong Yu WWW 2022.

pdf	Towards Return Parity in Markov Decision Processes Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao AISTATS 2022.

pdf	Large-scale Interactive Recommendation with Tree-structured Reinforcement Learning Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu TKDE 2022.

pdf	AIM: Automatic Interaction Machine for Click-Through Rate Prediction Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu TKDE 2022.

pdf	Spatio-Temporal Meta Learning for Urban Traffic Prediction Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng TKDE 2022.

pdf	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.

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

pdf	MVG: Multi-view Graph Representation Learning for Programming Language Processing Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu AAAI 2022.

pdf	Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu DAI 2021.

pdf	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.

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

pdf	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.

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

pdf	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.

pdf	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)

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

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

pdf	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.

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

pdf	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.

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

pdf	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.

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

pdf	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)

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

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

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

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

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

pdf	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.

pdf	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.

pdf	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.

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

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

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

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

pdf	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.

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

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

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

pdf	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.

pdf	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.

pdf	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.

pdf	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.

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

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

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

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

pdf	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.

pdf	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.

pdf	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.

pdf	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.

pdf	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.

pdf	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.

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

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

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

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

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

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

pdf	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)

pdf	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.

pdf	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.

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

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

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

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

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

pdf	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.

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

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

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

pdf	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.

pdf	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.

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

pdf	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.

pdf	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.

pdf	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.

pdf	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%)

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

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

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

pdf	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.

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

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

pdf	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.

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

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

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

pdf	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%)

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

pdf	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)

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

pdf	"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)

pdf	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%)

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

pdf	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.

pdf	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%)

pdf	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%)

pdf	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%)

pdf	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%)

pdf	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%)

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

pdf	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%)

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

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

pdf	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%)

pdf	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%)

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

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

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

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

pdf	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%)

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

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

pdf	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

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

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

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

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

pdf	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.

pdf	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

pdf	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%)

pdf	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%)

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

pdf	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)

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

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

pdf	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

pdf	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.

pdf	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)

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

pdf	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

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

pdf	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.

pdf	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.