Huimu Wang

According to our database, Huimu Wang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning.

Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang

CoRR, January, 2025

Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches.

Shijie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2025

Stochastic Trajectory Prediction Under Unstructured Constraints.

Hao Ma, Zhiqiang Pu, Shijie Wang, Boyin Liu, Huimu Wang, Yanyan Liang, Jianqiang Yi

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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

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

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Jiaxing Wang, Guoyu Tang, Lin Liu, Songlin Wang, Jingwei Zhuo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, December, 2023

Attention Enhanced Reinforcement Learning for Multi agent Cooperation.

Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation.

Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi

IEEE Trans. Games, September, 2023

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval.

Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2021

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation.

Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu

Algorithms, 2021

Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation.

Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multi-agent Cooperation and Competition with Two-Level Attention Network.

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation.

Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation.

Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

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, Zhaoyang Liu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019