李文浩｜山东师范大学｜学者主页

2026

RF-NTPP：基于规则融合的神经点过程模型

王泓烨，林觉凯，曹昀炀，李文浩，金博

《计算机工程与应用》

2026

基于双层多尺度动态GCN模型的城市交通流量预测

李文浩，郭银章

《计算机应用》

2026

自适应多跳图卷积与Transformer融合的高光谱图像分类方法

周正阳，李文浩，王念，朱良玉，崔智高

《火箭军工程大学学报》

2026

基于边云协同的ECA轻量化人脸表情识别

李文浩，张宗帅，邹文浩，田霖

《计算机系统应用》

DOI

2026

On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning

Di Wu, Jiaxin Fan, Chloe Gu, Guan-Bo Wang, Wei Yin, Wenhao Li, Bo Jin

Annual Meeting of the Association for Computational Linguistics

DOI

2026

From Scaffolding to Assimilation: Progressive Structural Internalization for Format-Constrained Creative Text Generation

Wenhao Li, Yu-Wei Yang, Xiaoqing Wu, Yufeng Han, Cunliang Kong, Yu-Zhuo Bai, Xin Cong, Mao-Song Sun

Annual Meeting of the Association for Computational Linguistics

DOI

2026

MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints

Kangyang Luo, Shuzheng Si, Yu-Zhuo Bai, Cheng Gao, Zhi-Tong Wang, Cheng Huang, Yingli Shen, Yufeng Han, Wenhao Li, Cunliang Kong, Mao-Song Sun

Annual Meeting of the Association for Computational Linguistics

DOI

2026

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs

Yu-Zhuo Bai, Shuzheng Si, Kangyang Luo, Qingyi Wang, Wenhao Li, Gang Chen, Fanchao Qi, Maosong Sun

arXiv.org

DOI

2026

Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement

Yufeng Han, Lifan Deng, Cunliang Kong, Wenhao Li, Xin Cong, Yu-Zhuo Bai, Kangyang Luo, Mao-Song Sun

2026

ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement

Kangyang Luo, Yu-Zhuo Bai, Shuzheng Si, Cheng Gao, Zhi-Tong Wang, Yingli Shen, Wenhao Li, Zhu Liu, Yufeng Han, Jia-Yi Wu, Cunliang Kong, Mao-Song Sun

Annual Meeting of the Association for Computational Linguistics

DOI

2026

FedSPADE: A Novel Federated Learning Method with Skew-Aware Personalized Aggregation and Distillation Enhancement

Jiaqi Hu, Chunyu Hu, Lisha Hu, Tianlei Gao, Wenhao Li

Lecture notes in computer science

DOI

2026

A knowledge-guided hierarchical multi-agent deep reinforcement learning approach for crowd evacuation

Лэй Сун，Hong Liu，Baoyu Fan，Xiaochuan Li，Wenhao Li

Engineering Applications of Artificial Intelligence

DOI

2026

ARLIE: Adaptive Reinforcement Learning With Inductive Embeddings for Fully-Inductive Multi-Hop Reasoning Over Temporal Knowledge Graphs

Shangfei Zheng, Yunjun Gao, An Liu, Wenhao Li, Tong Chen, Hongzhi Yin

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang

arXiv.org

DOI

2025

Reinforced Reasoning for Embodied Planning

Di Wu, Jiaxin Fan, Junzhe Zang, Guan-Bo Wang, Wei Yin, Wenhao Li, Bo Jin

arXiv.org

DOI

2025

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Wen-Wu Li, Xiangfeng Wang, Wenhao Li, Bo Jin

arXiv.org

DOI

2025

Scalable Reinforcement Learning for Virtual Machine Scheduling

Junjie Sheng, Jiehao Wu, Haochuan Cui, Yiqiu Hu, Wenli Zhou, Lei Zhu, Qian Peng, Wenhao Li, Xiangfeng Wang

arXiv.org

DOI

2025

GraphThought: Graph Combinatorial Optimization with Thought Generation

ZiXiao Huang, Li-Feng Guo, Wenhao Li, Junjie Sheng, Chuyun Shen, Hao-Sheng Chen, Bo Jin, Changhong Lu, Xiangfeng Wang

arXiv.org

DOI

2025

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding

Shiyue Wang, Haozheng Xu, Yuhan Zhang, Jing-Ran Lin, Changhong Lu, Xiangfeng Wang, Wenhao Li

arXiv.org

DOI

2025

Verbalized Bayesian Persuasion

Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hong-Yuan Zha, Baoxiang Wang

arXiv.org

DOI

2025

TextAtari: 100K Frames Game Playing with Language Agents

Wenhao Li, Wen-Wu Li, Chuyun Shen, Junjie Sheng, ZiXiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hong-Yuan Zha, Bo Jin

arXiv.org

DOI

2025

GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion

Kangyang Luo, Yu-Zhuo Bai, Cheng Gao, Shuzheng Si, Zhu Liu, Yingli Shen, Zhi-Tong Wang, Cunliang Kong, Wenhao Li, Yu-Fei Huang, Ye Tian, Xuan-Tang Xiong, Lei Han, Maosong Sun

Annual Meeting of the Association for Computational Linguistics

DOI

2025

MiniCPM4: Ultra-Efficient LLMs on End Devices

Chao-Jun Xiao, Yuxuan Li, Xu Han, Yu-Zhuo Bai, Jie Cai, Hao-Tian Chen, Wentong Chen, Xin Cong, Ganqu Cui, Ning Ding, Sheng-Da Fan, Yewei Fang, Zi-Xuan Fu, Wen-Yu Guan, Yi-Tong Guan, Jun Guo, Yu-Xuan Han, Bing-Xiang He, Yuxian Huang, Cunliang Kong, Qiu-tong Li, Siyuan Li, Wenhao Li, Yang-Hao Li, Yishan Li, Zhen Li, Dan Liu, Bi-Yuan Lin, Yankai Lin, Xiang Long, Quan Lu, Yaxi Lu, Pei Luo, Hongya Lyu, Litu Ou, Yinxu Pan, Zekai Qu, Qun-Dong Shi, Zi-Jun Song, Jiayu Su, Zhou Su, Ao Sun, Xiang-ping Sun, Pei-Jun Tang, Fang-Zheng Wang, Feng Wang, Shuo Wang, Yudong Wang, Ye-Sai Wu, Zhenyu Xiao, Jie Xie, Zi-Hao Xie, Yu-Kun Yan, Jia-Li Yuan, Kaihuo Zhang, Lei Zhang, Lin-Yue Zhang, Xueren Zhang, Yudi Zhang, Hengyu Zhao, Weilin Zhao, Wei-Lun Zhao, Yuanqian Zhao, Zhijun Zheng, Ge Zhou, Jie Zhou, Wei Zhou, Zi-Han Zhou, Zi-Xuan Zhou, Zhiyuan Liu, Guoyang Zeng, Chaochao Jia, Dahai Li, Mao-Song Sun

arXiv.org

DOI

2025

Document Segmentation Matters for Retrieval-Augmented Generation

Zhi-Tong Wang, Cheng Gao, Chao-Jun Xiao, Yu-Fei Huang, Shuzheng Si, Kangyang Luo, Yu-Zhuo Bai, Wenhao Li, Tangjian Duan, Chuancheng Lv, Guoshan Lu, Gang Chen, Fanchao Qi, Maosong Sun

Annual Meeting of the Association for Computational Linguistics

DOI

2025

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning

Shuzheng Si, Haozhe Zhao, Cheng Gao, Yu-Zhuo Bai, Zhi-Tong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yu-Fei Huang, Gang Chen, Fanchao Qi, Min-Jia Zhang, Bao-Bao Chang, Maosong Sun

AAAI Conference on Artificial Intelligence

DOI

2025

Multi-Agent Deep Reinforcement Learning-based path planning for crowd evacuation in buildings

Lei Sun, Hong Liu, Baoyu Fan, Xiaochuan Li, Wenhao Li

Journal of Building Engineering

DOI

2025

An evacuation guidance approach based on multi-agent shared Q-learning

Yanbin Han, Hong Liu, Liang Li, Wenhao Li, Wenhao Li

Engineering Applications of Artificial Intelligence

DOI

2025

An exploration-driven framework for path planning in complex buildings using improved MADDPG

Chong Zhang, Hong Liu, Wenhao Li

Journal of Building Engineering

DOI

2025

Crowd evacuation path planning and simulation method based on deep reinforcement learning and repulsive force field

Hongyue Wang, Liu Hong, Wenhao Li

Applied Intelligence

DOI

2024

Carbon Market Simulation with Adaptive Mechanism Design

Han Wang, Wenhao Li, Hong-Yuan Zha, Baoxiang Wang

International Joint Conference on Artificial Intelligence

DOI

2024

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

Di Wu, Xian Wei, Guang Chen, Hao Shen, Xiangfeng Wang, Wenhao Li, Bo Jin

International Joint Conference on Artificial Intelligence

DOI

2024

SkyRover: A Modular Simulator for Cross-Domain Pathfinding

Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang

International Joint Conference on Artificial Intelligence

DOI

2024

Multisource-Knowledge-Based Approach for Crowd Evacuation Navigation

Pengfei Zhang, Kun Zhao, Hong Liu, Wenhao Li

IEEE Transactions on Computational Social Systems

DOI

2024

A path planning method based on deep reinforcement learning for crowd evacuation

Xiangdong Meng, Hong Liu, Wenhao Li

Journal of Ambient Intelligence and Humanized Computing

DOI

2023

机器学习驱动的多智能体路径搜寻算法综述

王祥丰，李文浩

《运筹学学报(中英文)》

2023

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Wenhao Li, Dan Qiao, Bao-Xiang Wang, Xiangfeng Wang, Bo Jin, H. Zha

arXiv.org

DOI

2023

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising

Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo

Adaptive Agents and Multi-Agent Systems

DOI

2023

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Yun Hua, Shang Gao, Wenhao Li, Hao-Sheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hong Zha

Neural Information Processing Systems

DOI

2023

Diverse Policy Optimization for Structured Action Space

Wenhao Li, Bao-Xiang Wang, Shanchao Yang, H. Zha

Adaptive Agents and Multi-Agent Systems

DOI

2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Junjie Sheng, ZiXiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hong-Yuan Zha, Xiangfeng Wang

arXiv.org

DOI

2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Junjie Sheng, Wenhao Li, Bo Jin, H. Zha, Jun Wang, Xiangfeng Wang

Adaptive Agents and Multi-Agent Systems

DOI

2023

Learning Roles With Emergent Social Value Orientations

Wenhao Li, Xiangfeng Wang, Bo Jin, Jing-Yi Lu, H. Zha

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Information Design in Multi-Agent Reinforcement Learning

Yue Lin, Wenhao Li, H. Zha, Bao-Xiang Wang

Neural Information Processing Systems

DOI

2023

Hierarchical Diffusion for Offline Decision Making

Wenhao Li, Xiangfeng Wang, Bo Jin, H. Zha

International Conference on Machine Learning

2022

合作促进多智能体强化学习

李文浩

《华东师范大学》

2022

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Tingyi Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang

International Conference on Database Systems for Advanced Applications

DOI

2022

Multi-Agent Path Finding with Prioritized Communication Learning

Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hong Zha, Xiangfeng Wang

IEEE International Conference on Robotics and Automation

DOI

2022

VMAgent: A Practical Virtual Machine Scheduling Platform

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, H. Zha, Xiangfeng Wang

International Joint Conference on Artificial Intelligence

DOI

2021

基于多智能体强化学习的大规模无人机集群对抗

王泊涵，吴婷钰，李文浩，黄达，金博，杨峰，周爱民，王祥丰

《系统仿真学报》

DOI

2021

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, H. Zha

International Conference on Learning Representations

2021

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space

Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, H. Zha

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, H. Zha

Adaptive Agents and Multi-Agent Systems

DOI

2021

VMAgent: Scheduling Simulator for Reinforcement Learning

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hong Zha, Xiangfeng Wang

arXiv.org

2020

Learning structured communication for multi-agent reinforcement learning

Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, H. Zha

Autonomous Agents and Multi-Agent Systems

DOI

2020

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiao-Feng He, H. Zha

Knowledge Discovery and Data Mining

DOI

2020

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, H. Zha

Journal of machine learning research

2019

去中心化多智能体强化学习算法研究

李文浩

《华东师范大学》

2019

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning

Wenhao Li, Bo Jin, Xiangfeng Wang

DASFAA Workshops

DOI

2008

Harmonious Human-Computer Interaction in Pervasive Environment

Hong Liu, Wenhao Li, Jianguo Li

International Conference on Pervasive Computing and Applications (ICPCA)

DOI

精选作品

期刊论文

RF-NTPP：基于规则融合的神经点过程模型

基于双层多尺度动态GCN模型的城市交通流量预测

自适应多跳图卷积与Transformer融合的高光谱图像分类方法

基于边云协同的ECA轻量化人脸表情识别

On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning

From Scaffolding to Assimilation: Progressive Structural Internalization for Format-Constrained Creative Text Generation

MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints

InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs

Jiuge-Tuiqiao: An Interpretable Human-AI System for Classical Chinese Poetry Refinement

ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement

FedSPADE: A Novel Federated Learning Method with Skew-Aware Personalized Aggregation and Distillation Enhancement

A knowledge-guided hierarchical multi-agent deep reinforcement learning approach for crowd evacuation

ARLIE: Adaptive Reinforcement Learning With Inductive Embeddings for Fully-Inductive Multi-Hop Reasoning Over Temporal Knowledge Graphs

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows

Reinforced Reasoning for Embodied Planning

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Scalable Reinforcement Learning for Virtual Machine Scheduling

GraphThought: Graph Combinatorial Optimization with Thought Generation

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding

Verbalized Bayesian Persuasion

TextAtari: 100K Frames Game Playing with Language Agents

GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion

MiniCPM4: Ultra-Efficient LLMs on End Devices

Document Segmentation Matters for Retrieval-Augmented Generation

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning

Multi-Agent Deep Reinforcement Learning-based path planning for crowd evacuation in buildings

An evacuation guidance approach based on multi-agent shared Q-learning

An exploration-driven framework for path planning in complex buildings using improved MADDPG

Crowd evacuation path planning and simulation method based on deep reinforcement learning and repulsive force field

Carbon Market Simulation with Adaptive Mechanism Design

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review

SkyRover: A Modular Simulator for Cross-Domain Pathfinding

Multisource-Knowledge-Based Approach for Crowd Evacuation Navigation

A path planning method based on deep reinforcement learning for crowd evacuation

机器学习驱动的多智能体路径搜寻算法综述

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Diverse Policy Optimization for Structured Action Space

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Learning Roles With Emergent Social Value Orientations

Information Design in Multi-Agent Reinforcement Learning

Hierarchical Diffusion for Offline Decision Making

合作促进多智能体强化学习

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Multi-Agent Path Finding with Prioritized Communication Learning

VMAgent: A Practical Virtual Machine Scheduling Platform

基于多智能体强化学习的大规模无人机集群对抗

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning

VMAgent: Scheduling Simulator for Reinforcement Learning

Learning structured communication for multi-agent reinforcement learning

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

去中心化多智能体强化学习算法研究

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning

Harmonious Human-Computer Interaction in Pervasive Environment