百晓学者学者目录

李承浩

副教授、教授、硕士生导师、讲师，山东师范大学

精选作品

期刊论文

2026

IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning

Chenghao Li, Fu-Sheng Hao, Xikai Zhang, Li-Kang Xiao, Yanwei Ren, Fu-Xiang Wu, Quan Chen, Liu Liu

arXiv.org

DOI

2026

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game

Hu Jian, Chenghao Li, Haoyu Wang, Jia Shu-ai, Jinyu Guo, Yang Yang, Chao-Ning Zhang

arXiv.org

DOI

2026

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models

Xu-Dong Wang, Chao-Ning Zhang, Chenghao Li, Shu-Xu Chen, Qigan Sun, Jia-Quan Zhang, Fachrina Dewi Puspitasari, Tae-Ho Kim, Jiwei Wei, Ma-Lu Zhang, Guo-Qing Wang, Yang Yang, Heng-Tao Shen

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Experience Transfer for Multimodal LLM Agents in Minecraft Game

Chenghao Li, Jun Liu, Songbo Zhang, Hu Jian, Haoting Ni, Lik-Hang Lee, Sung-Ho Bae, Guo-Qing Wang, Yang Yang, Chao-Ning Zhang

arXiv.org

DOI

2026

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization

Xu-Dong Wang, Chao-Ning Zhang, Jia-Quan Zhang, Chenghao Li, Qigan Sun, Sung-Ho Bae, Peng Wang, Ning Xie, Jie Zou, Yang Yang, Heng-Tao Shen

arXiv.org

DOI

2025

基于学科竞赛的计算机专业学生贯通式培养

李承浩，李圣涛，张乾，黄珂

《计算机教育》

2025

Continual Knowledge Adaptation for Reinforcement Learning

Jin-Wu Hu, Zihao Lian, Zhi-Quan Wen, Chenghao Li, Guo-Hao Chen, Xu-Tao Wen, Bin Xiao, Mingkui Tan

Neural Information Processing Systems

DOI

2025

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

Yiqin Yang, Quanwei Wang, Chenghao Li, Haotian Hu, Cheng-Jie Wu, Yu-Hua Jiang, Dianyu Zhong, Zi-You Zhang, Qian-Chuan Zhao, Chongjie Zhang, Xu Bo

International Conference on Learning Representations

DOI

2025

A Continual Learning Survey for Robotics in Multimodal Scenarios

Wei Fang, Ke Huang, Chenghao Li, Yang-Chuan Xu, Meng-Hua Zhang

2025 International Conference on Mechatronics, Robotics, and Artificial Intelligence (MRAI)

DOI

2024

Fast and isolation guaranteed coflow scheduling via traffic forecasting in multi-tenant environment

Chenghao Li, Huyin Zhang, Fei Yang, Sheng Hao

The Journal of Supercomputing

DOI

2023

Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning

Chenghao Li, Tonghan Wang, Cheng-Jie Wu, Qian-Chuan Zhao, Jun Yang, Chongjie Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Never Explore Repeatedly in Multi-Agent Reinforcement Learning

Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao

arXiv.org

DOI

2023

Learning Diverse Risk Preferences in Population-based Self-play

Yu-Hua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao

AAAI Conference on Artificial Intelligence

DOI

2022

Towards Global Optimality in Cooperative MARL with Sequential Transformation

Jianing Ye, Chenghao Li, Jianhao Wang, Chongjie Zhang

arXiv.org

DOI

2021

云数据中心流量传输与调度研究

李承浩

《武汉大学》

2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Yang Jun

Adaptive Agents and Multi-Agent Systems

DOI

2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang

Neural Information Processing Systems

2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qi-Yuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao

Neural Information Processing Systems

2021

Containerized Distributed Value-Based Multi-Agent Reinforcement Learning

Siyang Wu, Tonghan Wang, Chenghao Li, Yang Hu, Chongjie Zhang

arXiv.org

2021

Learning to Discover Task-Relevant Features for Interpretable Reinforcement Learning

Qi-Yuan Zhang, Xiaoteng Ma, Yiqin Yang, Chenghao Li, Jun Yang, Yu Liu, Bin Liang

IEEE Robotics and Automation Letters

DOI

2020

SOAC: The Soft Option Actor-Critic Architecture

Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao

arXiv.org

预印本

2026

What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents

Yifan Guo, Chenghao Li, Zhu Wang, Wei Xu, Yu Li, Yulong Zhu, Zhuo Sun, Bin Guo, Zhiwen Yu

arXiv preprint

2026

Learning Quadruped Walking from Seconds of Demonstration

Ruipeng Zhang, Hongzhan Yu, Ya-Chien Chang, Chenghao Li, Henrik I. Christensen, Sicun Gao

arXiv preprint

2026

Sensitivity Shaping for Latent Modeling

Hongzhan Yu, Chenghao Li, Ruipeng Zhang, Henrik Christensen, Sicun Gao

arXiv preprint

2026

Con-DSO: Learning Short-Horizon Consistency Priors for RGB-D Direct Sparse Odometry

Haolan Zhang, Thanh Nguyen Canh, Chenghao Li, Ziyan Gao, Xiongwen Jiang, Nak Young Chong

arXiv preprint

2026

Multimodal Adversarial Quality Policy for Safe Grasping

Kunlin Xie, Chenghao Li, Haolan Zhang, Nak Young Chong

arXiv preprint

2025

Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction

Chenghao Li, Razvan Beuran, Nak Young Chong

arXiv preprint

2025

Safe Human Robot Navigation in Warehouse Scenario

Seth Farrell, Chenghao Li, Hongzhan Yu, Ryo Yoshimitsu, Sicun Gao, Henrik I. Christensen

arXiv preprint

2025

SR-SLAM: Scene-reliability Based RGB-D SLAM in Diverse Environments

Haolan Zhang, Chenghao Li, Thanh Nguyen Canh, Lijun Wang, Nak Young Chong

arXiv preprint

2025

Adaptive Prior Scene-Object SLAM for Dynamic Environments

Haolan Zhang, Thanh Nguyen Canh, Chenghao Li, Nak Young Chong

arXiv preprint

2025

IL-SLAM: Intelligent Line-assisted SLAM Based on Feature Awareness for Dynamic Environments

Haolan Zhang, Thanh Nguyen Canh, Chenghao Li, Ruidong Yang, Yonghoon Ji, Nak Young Chong

arXiv preprint

2025

GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments

Seth Farrell, Chenghao Li, Henrik I. Christensen

arXiv preprint

2024

An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement

Peiwen Zhou, Ziyan Gao, Chenghao Li, Nak Young Chong

arXiv preprint

2024

Pyramid-Monozone Synergistic Grasping Policy in Dense Clutter

Chenghao Li, Nak Young Chong

arXiv preprint

研究方向

具身智能，强化学习和数据中心网络，现

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