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2020 – today
- 2025
[i5]Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang:
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. CoRR abs/2501.10062 (2025)- 2024
- [c9]Peng Cheng
, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu:
MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. CIKM 2024: 3694-3698 - [c8]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:
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. EMNLP (Industry Track) 2024: 677-685 - [c7]Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu:
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. SIGIR 2024: 2895-2899 - [i4]Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu:
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. CoRR abs/2405.15521 (2024) - [i3]Peng Cheng, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu:
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. CoRR abs/2407.15476 (2024) - [i2]Mingming Li, Huimu Wang, Zuxu Chen, Guangtao Nie, Yiming Qiu, Binbin Wang, Guoyu Tang, Lin Liu, Jingwei Zhuo:
Generative Retrieval with Preference Optimization for E-commerce Search. CoRR abs/2407.19829 (2024) - [i1]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:
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. CoRR abs/2407.21488 (2024) - 2023
- [j4]Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi:
Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation. IEEE Trans. Games 15(3): 388-398 (2023) - [j3]Boyin Liu, Zhiqiang Pu, Tianle Zhang, Huimu Wang, Jianqiang Yi, Jiachen Mi:
Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework. IEEE Trans. Games 15(4): 648-657 (2023) - [j2]Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu:
Attention Enhanced Reinforcement Learning for Multi agent Cooperation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8235-8249 (2023) - [c6]Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu:
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. EMNLP (Industry Track) 2023: 775-782 - 2021
- [j1]Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu:
Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation. Algorithms 14(3): 98 (2021) - [c5]Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. IJCNN 2021: 1-7 - 2020
- [c4]Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu:
A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. CASE 2020: 1257-1262 - [c3]Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang:
Multi-agent Cooperation and Competition with Two-Level Attention Network. ICONIP (2) 2020: 524-535 - [c2]Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. ICONIP (2) 2020: 663-675
2010 – 2019
- 2019
- [c1]Huimu Wang, Zhiqiang Pu, Jianqiang Yi, Tenghai Qiu, Zhen Liu, Zhaoyang Liu:
Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. SSCI 2019: 22-30
Coauthor Index
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