Huimu Wang - RankMe

26 papers A* 2A 2B 2Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control. CoRR Hao Ma, Zhiqiang Pu, Xiaolin Ai, Huimu Wang
2026	J	`jnl`	RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce. CoRR Zhiguo Chen, Guohao Sun, Yiming Qiu, Xingzhi Yao, Mingming Li, Huimu Wang, Yangqi Zhang, Songlin Wang, Sulong Xu
2026	J	`jnl`	Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer. CoRR Huimu Wang, Xingzhi Yao, Yiming Qiu, Qinghong Zhang, Haotian Wang, Yufan Cui, Songlin Wang, Sulong Xu, Mingming Li
2025	J	`jnl`	A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval. CoRR Huimu Wang, Yiming Qiu, Xingzhi Yao, Zhiguo Chen, Guoyu Tang, Songlin Wang, Sulong Xu, Mingming Li
2025	B	`conf`	Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches. IJCNN Shijie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jianqiang Yi
2025	A	`conf`	OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. ECAI Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang
2025	J	`jnl`	OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. CoRR Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang
2025	A*	`conf`	Stochastic Trajectory Prediction Under Unstructured Constraints. ICRA Hao Ma, Zhiqiang Pu, Shijie Wang, Boyin Liu, Huimu Wang, Yanyan Liang, Jianqiang Yi
2025	J	`jnl`	Stochastic Trajectory Prediction under Unstructured Constraints. CoRR Hao Ma, Zhiqiang Pu, Shijie Wang, Boyin Liu, Huimu Wang, Yanyan Liang, Jianqiang Yi
2024	A*	`conf`	A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. SIGIR Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu
2024	J	`jnl`	A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. CoRR Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu
2024	—	`conf`	Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. EMNLP (Industry Track) 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
2024	J	`jnl`	Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. CoRR 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
2024	J	`jnl`	Generative Retrieval with Preference Optimization for E-commerce Search. CoRR Mingming Li, Huimu Wang, Zuxu Chen, Guangtao Nie, Yiming Qiu, Binbin Wang, Guoyu Tang, Lin Liu, Jingwei Zhuo
2024	A	`conf`	MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. CIKM Peng Cheng, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu
2024	J	`jnl`	MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. CoRR Peng Cheng, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu
2023	—	`conf`	Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. EMNLP (Industry Track) Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu
2023	J	`jnl`	Attention Enhanced Reinforcement Learning for Multi agent Cooperation. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu
2023	J	`jnl`	Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation. IEEE Trans. Games Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi
2023	J	`jnl`	Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework. IEEE Trans. Games Boyin Liu, Zhiqiang Pu, Tianle Zhang, Huimu Wang, Jianqiang Yi, Jiachen Mi
2021	B	`conf`	Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. IJCNN Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan
2021	J	`jnl`	Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation. Algorithms Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu
2020	—	`conf`	A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. CASE Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu
2020	—	`conf`	Multi-agent Cooperation and Competition with Two-Level Attention Network. ICONIP (2) Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang
2020	—	`conf`	STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. ICONIP (2) Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi
2019	—	`conf`	Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. SSCI Huimu Wang, Zhiqiang Pu, Jianqiang Yi, Tenghai Qiu, Zhen Liu, Zhaoyang Liu