Shengchao Hu

According to our database, Shengchao Hu authored at least 23 papers between 2022 and 2025.

Collaborative distances:

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

2025

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.

Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, May, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection.

Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang

CoRR, April, 2025

Squeeze Out Tokens from Sample for Finer-Grained Data Governance.

Weixiong Lin, Chen Ju, Haicheng Wang, Shengchao Hu, Shuai Xiao, Mengting Chen, Yuheng Jiao, Mingshuai Yao, Jinsong Lan, Qingwen Liu, Ying Chen

CoRR, March, 2025

SeWA: Selective Weight Average via Probabilistic Masking.

Peng Wang, Shengchao Hu, Zerui Tao, Guoxia Wang, Dianhai Yu, Li Shen, Quan Zheng, Dacheng Tao

CoRR, February, 2025

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.

Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection.

Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

On Transforming Reinforcement Learning With Transformers: The Development Trajectory.

Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Continual Task Learning through Adaptive Policy Self-Composition.

Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu, Li Shen, Ya Zhang, Dacheng Tao

CoRR, 2024

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.

Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

CoRR, 2024

Communication Learning in Multi-Agent Systems from Graph Modeling Perspective.

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

CoRR, 2024

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.

Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun

CoRR, 2024

Reconstruct the Pruned Model without Any Retraining.

Pingjie Wang, Ziqing Fan, Shengchao Hu, Zhe Chen, Yanfeng Wang, Yu Wang

CoRR, 2024

Design and Analysis of the Mechanism for Flapping-Wing Air Vehicle.

Xiao Liu, Weijun Wang, Shengchao Hu, Fawad Khan, Ziqian Du, Wei Feng

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Q-value Regularized Transformer for Offline Reinforcement Learning.

Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.

Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization.

Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multi-Agent Communication from Graph Modeling Perspective.

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Universal Structure of YOLO Series Small Object Detection Models.

Shengchao Hu, Xiao Liu, Weijun Wang, Tianlun Huang, Wei Feng

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Prompt-Tuning Decision Transformer with Preference Ranking.

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

CoRR, 2023

Graph Decision Transformer.

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

CoRR, 2023

2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory.

Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao

CoRR, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.

Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022