Weinan Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 462

Top Venues

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR (2024)
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. WWW (2024)
Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu
A Comprehensive Survey on Retrieval Methods in Recommender Systems. CoRR (2024)
Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR (2024)
Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. WSDM (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. CoRR (2024)
Longchao Da, Chen Chu, Weinan Zhang, Hua Wei
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. CoRR (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. ICLR (2024)
Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. CoRR (2024)
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR (2024)
Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen
Reinforcing Language Agents via Policy Optimization with Action Decomposition. CoRR (2024)
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. CoRR (2024)
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. CoRR (2024)
Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. CoRR (2024)
Lei Zheng, Ning Li, Weinan Zhang, Yong Yu
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. CoRR (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. CoRR (2024)
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. CoRR (2024)
Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
GeoGalactica: A Scientific Large Language Model in Geoscience. CoRR (2024)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) (2024)
Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Jiarui Jin, Weinan Zhang, Yong Yu
DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation. CoRR (2024)
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. ACM Trans. Inf. Syst. 42 (4) (2024)
Lei Zheng, Ning Li, Yanhuan Huang, Ruiwen Xu, Weinan Zhang, Yong Yu
Look into the Future: Deep Contextualized Sequential Recommendation. CoRR (2024)
Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang
An Empirical Study on Google Research Football Multi-agent Scenarios. Mach. Intell. Res. 21 (3) (2024)
Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang
Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. CoRR (2024)
Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. SIGIR (2024)
Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. CoRR (2024)
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
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR (2024)
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. CoRR (2024)
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. CoRR (2024)
Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang
An Aligning and Training Framework for Multimodal Recommendations. CoRR (2024)
Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen
Offline Fictitious Self-Play for Competitive Games. CoRR (2024)
Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, Guanya Shi
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRR (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. WWW (2024)
Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. CoRR (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. CoRR (2024)
Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. KDD (2024)
Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR (2024)
Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang
RACon: Retrieval-Augmented Simulated Character Locomotion Control. CoRR (2024)
Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
A survey on model-based reinforcement learning. Sci. China Inf. Sci. 67 (2) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CoRR (2024)
Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong
Vision-Language Foundation Models as Effective Robot Imitators. ICLR (2024)
Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
Large Language Models Make Sample-Efficient Recommender Systems. CoRR (2024)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) (2024)
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. CoRR (2024)
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. CoRR (2024)
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. AAMAS (2024)
Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset. CoRR (2023)
Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
Specify Robust Causal Representation from Mixed Observations. KDD (2023)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI (2023)
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. CoRR (2023)
Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang
Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners. CoRR (2023)
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM (2023)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41 (4) (2023)
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI (2023)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. ICLR (2023)
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
A Bird's-eye View of Reranking: From List Level to Page Level. WSDM (2023)
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD (2023)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR (2023)
Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. CoRR (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR (2023)
Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. CoRR (2023)
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR (2023)
Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models. CoRR (2023)
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD (2023)
Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. 20 (2) (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA (2023)
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM (2023)
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR (2023)
Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17 (6) (2023)
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR (2023)
Weinan Zhang
Large Decision Models. IJCAI (2023)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR (2023)
Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu
Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. Sensors 23 (6) (2023)
Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future. CoRR (2023)
Han Zhang, Quan Gan, David Wipf, Weinan Zhang
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. CoRR (2023)
Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. CoRR (2023)
Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
Order Matters: Agent-by-agent Policy Optimization. ICLR (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR (2023)
Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM (2023)
Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang
Diffusion Models for Reinforcement Learning: A Survey. CoRR (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. KDD (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang
Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. 24 (2023)
Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang
Dense Representation Learning and Retrieval for Tabular Data Prediction. KDD (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR (2023)
Xianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao
A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. KDD (2023)

Weinan Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Weinan Zhang