Shengze Li

According to our database, Shengze Li authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Ahafed: accelerated hierarchical aggregation for heterogeneous federated learning in multi-UAV networks.

Xin Liu, Guanlin Wu, Shengze Li, Yu Liu, Yuan Li, Shiyuan Yu, Xiong Li

Int. J. Mach. Learn. Cybern., June, 2026

Struggling at the Start: Structural Causes of Decoding Difficulty in Code Generation.

Yuqi Zhu, Jia Li, Hao Jiang, Shengze Li, Jieyuan Zhang, Ang Li

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Hyperbolic Continuous Structural Entropy for Hierarchical Clustering.

Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Local global information aggregation graph convolution for skeleton-based action recognition.

Shichong Xie, Shengze Li, Peng Chen, Bing Wang, Jun Zhang

Neurocomputing, 2025

ClipSAM: CLIP and SAM collaboration for zero-shot anomaly segmentation.

Shengze Li, Jianjian Cao, Peng Ye, Yuhan Ding, Chongjun Tu, Tao Chen

Neurocomputing, 2025

Hierarchical reinforcement learning based on macro actions.

Hao Jiang, Gongju Wang, Shengze Li, Jieyuan Zhang, Long Yan, Xinhai Xu

Complex Intell. Syst., 2025

2024

Generative subgoal oriented multi-agent reinforcement learning through potential field.

Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Neural Networks, 2024

MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer.

Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition.

Shengze Li, Xin Xiang, Jihong Fang, Jun Zhang, Songsong Cheng, Ke Wang

Knowl. Based Syst., December, 2023

Efficient state representation with artificial potential fields for reinforcement learning.

Hao Jiang, Shengze Li, Jieyuan Zhang, Yuqi Zhu, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2023

2022

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning.

Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Efficient Searching With MCTS and Imitation Learning: A Case Study in Pommerman.

Hailan Yang, Shengze Li, Xinhai Xu, Xunyun Liu, Zhuxuan Meng, Yongjun Zhang

IEEE Access, 2021

Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman.

Yuqi Zhu, Shengze Li, Jieyuan Zhang, Xinhai Xu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021