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Shengze Li
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2020 – today
- 2024
- [j3]Shengze Li, Hao Jiang
, Yuntao Liu
, Jieyuan Zhang, Xinhai Xu, Donghong Liu:
Generative subgoal oriented multi-agent reinforcement learning through potential field. Neural Networks 179: 106552 (2024) - [i2]Shengze Li, Jianjian Cao, Peng Ye, Yuhan Ding, Chongjun Tu, Tao Chen:
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation. CoRR abs/2401.12665 (2024) - [i1]Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen:
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. CoRR abs/2403.02991 (2024) - 2023
- [j2]Shengze Li
, Xin Xiang, Jihong Fang, Jun Zhang
, Songsong Cheng, Ke Wang:
Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition. Knowl. Based Syst. 281: 111074 (2023) - 2022
- [c2]Hao Jiang
, Yuntao Liu, Shengze Li
, Jieyuan Zhang, Xinhai Xu, Donghong Liu:
Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. CIKM 2022: 842-851 - 2021
- [j1]Hailan Yang
, Shengze Li
, Xinhai Xu, Xunyun Liu, Zhuxuan Meng, Yongjun Zhang:
Efficient Searching With MCTS and Imitation Learning: A Case Study in Pommerman. IEEE Access 9: 48851-48859 (2021) - [c1]Yuqi Zhu, Shengze Li
, Jieyuan Zhang, Xinhai Xu:
Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman. ISCAS 2021: 1-5
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last updated on 2024-08-23 19:20 CEST by the dblp team
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