Zhang, Weinan

119 publications

ECML-PKDD 2025 AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu

NeurIPS 2025 AgentNet: Decentralized Evolutionary Coordination for LLM-Based Multi-Agent Systems Yingxuan Yang, Huacan Chai, Shuai Shao, Yuanyi Song, Siyuan Qi, Renting Rui, Weinan Zhang

AAAI 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu

AAAI 2025 Beyond Graph Convolution: Multimodal Recommendation with Topology-Aware MLPs Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang

ICLR 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning Yixiang Shan, Zhengbang Zhu, Ting Long, Liang Qifan, Yi Chang, Weinan Zhang, Liang Yin

IJCAI 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang

NeurIPS 2025 Flexible Realignment of Language Models Wenhong Zhu, Ruobing Xie, Weinan Zhang, Rui Wang

NeurIPS 2025 GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Shutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi

NeurIPS 2025 Information-Theoretic Reward Decomposition for Generalizable RLHF Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai

NeurIPS 2025 KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills Weiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li, Xinzhe Liu, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li

ICML 2025 Large Language Models Are Demonstration Pre-Selectors for Themselves Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang

NeurIPS 2025 MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang

NeurIPS 2025 ReMA: Learning to Meta-Think for LLMs with Multi-Agent Reinforcement Learning Ziyu Wan, Yunxiang Li, Xiaoyu Wen, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen

ICLR 2025 Reconstruction-Guided Policy: Enhancing Decision-Making Through Agent-Wise State Consistency Liang Qifan, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian

ICLR 2025 Robust Function-Calling for On-Device Language Model via Function Masking Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang

ICML 2025 Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun, Pengxiang Ding, Weinan Zhang, Donglin Wang

NeurIPS 2025 Stop DDoS Attacking the Research Community with AI-Generated Survey Papers Jianghao Lin, Rong Shan, Jiachen Zhu, Yunjia Xi, Yong Yu, Weinan Zhang

NeurIPS 2025 ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang

NeurIPS 2025 Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

ICML 2024 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

CoRL 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang

ECML-PKDD 2024 CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models Longchao Da, Chen Chu, Weinan Zhang, Hua Wei

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

NeurIPS 2024 Diffusion-Based Reinforcement Learning via Q-Weighted Variational Policy Optimization Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi

NeurIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning Liyuan Mao, Haoran Xu, Xianyuan Zhan, Weinan Zhang, Amy Zhang

CoRL 2024 GenSim2: Scaling Robot Data Generation with Multi-Modal and Reasoning LLMs Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang

NeurIPS 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

NeurIPS 2024 MADiff: Offline Multi-Agent Learning with Diffusion Models Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

ICLR 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-Gradient Update Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan

CoRL 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi

NeurIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen

ICLR 2024 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

NeurIPS 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-Agent Zero-Shot Coordination Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang

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

NeurIPSW 2023 AlphaZero-like Tree-Search Can Guide Large Language Model Decoding and Training Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang

NeurIPS 2023 Diffusion Model Is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li

ICML 2023 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

IJCAI 2023 Large Decision Models Weinan Zhang

AAAI 2023 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

NeurIPS 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang

MLOSS 2023 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, Yong Yu, Jun Wang, Weinan Zhang

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

AAAI 2023 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

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

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

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

ECML-PKDD 2022 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

IJCAI 2022 Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu, Menghui Zhu, Weinan Zhang

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

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

NeurIPS 2022 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 P Wipf

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

AAAI 2022 Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu

NeurIPS 2022 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

IJCAI 2022 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

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

ICML 2022 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

NeurIPSW 2022 Planning Immediate Landmarks of Targets for Model-Free Skill Transfer Across Agents Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

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

IJCAI 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li

NeurIPSW 2022 Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

ICLR 2022 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

AISTATS 2021 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, Wipf David

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

AAAI 2021 Data-Driven Multimodal Patrol Planning for Anti-Poaching Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang

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

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

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

IJCAI 2021 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 Model-Based Multi-Agent Policy Optimization with Adaptive Opponent-Wise Rollouts Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

ECML-PKDD 2021 Model-Based Offline Policy Optimization with Distribution Correcting Regularization Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu

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

AAAI 2021 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

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

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

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

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

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

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

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

ECML-PKDD 2020 GIKT: A Graph-Based Interaction Model for Knowledge Tracing Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

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

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

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

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

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

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

AAAI 2019 A Neural Network Approach to Verb Phrase Ellipsis Resolution Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu

AAAI 2019 Academic Reader: An Interactive Question Answering System on Academic Literatures Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

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

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

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

IJCAI 2019 Exploiting Persona Information for Diverse Generation of Conversational Responses Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu

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

AAAI 2019 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

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

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

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

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

AAAI 2018 Exploring Implicit Feedback for Open Domain Conversation Generation Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu

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

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

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

AAAI 2018 MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu

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

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

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

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

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

IJCAI 2017 A Deep Neural Network for Chinese Zero Pronoun Resolution Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu

IJCAI 2017 Aggregating Crowd Wisdoms with Label-Aware Autoencoders Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu

AAAI 2017 SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

ECML-PKDD 2017 Unsupervised Diverse Colorization via Generative Adversarial Networks Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu

AAAI 2016 Collective Noise Contrastive Estimation for Policy Transfer Learning Weinan Zhang, Ulrich Paquet, Katja Hofmann

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

AAAI 2015 Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua

MLOSS 2012 SVDFeature: A Toolkit for Feature-Based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu