Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. - Huimu Wang; Zhiqiang Pu; Jianqiang Yi; Tenghai Qiu; Zhen Liu 020; Zhaoyang Liu (SSCI, 2019)

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Zhiqiang Pu; Zhen Liu 020; Jianqiang Yi; Tenghai Qiu (CASE, 2020)

STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. - Huimu Wang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi (ICONIP (2), 2020)

Multi-agent Cooperation and Competition with Two-Level Attention Network. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Huimu Wang (ICONIP (2), 2020)

Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Tenghai Qiu; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2021)

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation. - Huimu Wang; Zhen Liu 020; Jianqiang Yi; Zhiqiang Pu (Algorithms, 2021)

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. - Mingming Li; Chunyuan Yuan; Huimu Wang; Peng Wang; Jingwei Zhuo; Binbin Wang; Lin Liu; Sulong Xu (EMNLP (Industry Track), 2023)

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation. - Zhiqiang Pu; Huimu Wang; Boyin Liu; Jianqiang Yi (IEEE Trans. Games, 2023)

Attention Enhanced Reinforcement Learning for Multi agent Cooperation. - Zhiqiang Pu; Huimu Wang; Zhen Liu 020; Jianqiang Yi; Shiguang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework. - Boyin Liu; Zhiqiang Pu; Tianle Zhang; Huimu Wang; Jianqiang Yi; Jiachen Mi (IEEE Trans. Games, 2023)

MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. - Peng Cheng; Huimu Wang; Jinyuan Zhao; Yihao Wang; Enqiang Xu; Yu Zhao; Zhuojian Xiao; Songlin Wang; Guoyu Tang; Lin Liu; Sulong Xu (CIKM, 2024)

Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. - Zhirui Kuai; Zuxu Chen; Huimu Wang; Mingming Li; Dadong Miao; Binbin Wang; Xusong Chen; Li Kuang; Yuxing Han 001; Jiaxing Wang; Guoyu Tang; Lin Liu; et al. (EMNLP (Industry Track), 2024)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. - Huimu Wang; Mingming Li; Dadong Miao; Songlin Wang; Guoyu Tang; Lin Liu; Sulong Xu; Jinghe Hu (SIGIR, 2024)

MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. - Peng Cheng; Huimu Wang; Jinyuan Zhao; Yihao Wang; Enqiang Xu; Yu Zhao; Zhuojian Xiao; Songlin Wang; Guoyu Tang; Lin Liu; Sulong Xu (CoRR, 2024)

Generative Retrieval with Preference Optimization for E-commerce Search. - Mingming Li; Huimu Wang; Zuxu Chen; Guangtao Nie; Yiming Qiu; Binbin Wang; Guoyu Tang; Lin Liu; Jingwei Zhuo (CoRR, 2024)

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. - Jinyuan Feng; Zhiqiang Pu; Tianyi Hu; Dongmin Li; Xiaolin Ai; Huimu Wang (CoRR, 2025)

Stochastic Trajectory Prediction under Unstructured Constraints. - Hao Ma; Zhiqiang Pu; Shijie Wang 006; Boyin Liu; Huimu Wang; Yanyan Liang 001; Jianqiang Yi (CoRR, 2025)