Yexin Li

According to our database, Yexin Li authored at least 39 papers between 2015 and 2026.

Collaborative distances:

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

2026

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game.

Honglei Guo, Yuhan Zhao, Yexin Li

CoRR, May, 2026

Large Language Models Explore by Latent Distilling.

Yuanhao Zeng, Ao Lu, Lufei Li, Zheng Zhang, Yexin Li, Kan Ren

CoRR, April, 2026

IDER: IDempotent Experience Replay for Reliable Continual Learning.

Zhanwang Liu, Yuting Li, Haoyuan Gao, Yexin Li, Linghe Kong, Lichao Sun, Weiran Huang

CoRR, March, 2026

Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems.

Yexin Li, Jinjin Guo, Haoyu Zhang, Yuhan Zhao, Yiwen Sun, Zihao Jiao

CoRR, February, 2026

Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System.

Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang

CoRR, February, 2026

Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning.

Jinjin Guo, Yexin Li, Zhichao Huang, Jun Fang, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Qixia Jiang

CoRR, February, 2026

Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning.

Zheng Zhang, Ao Lu, Yuanhao Zeng, Ziwei Shan, Jinjin Guo, Lufei Li, Yexin Li, Kan Ren

CoRR, February, 2026

CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning.

Yexin Li

Trans. Mach. Learn. Res., 2026

Non-Hermitian Dynamics in Three-Level Systems: A Perturbative Approach for Time-Dependent Hamiltonians.

Guixiang La, Yexin Li, Gongping Zheng

Entropy, 2026

Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning.

Jinjin Guo, Yexin Li, Zhichao Huang, Jun Fang, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Qixia Jiang

Proceedings of the ACM Web Conference 2026, 2026

Predictive Mobile Refueling for Agricultural Machinery via Deep Reinforcement Learning.

Sijie Ruan, Renchi Jiang, Song Tang, Yexin Li, Weixin Zhai, Xinhao Liu, Bingbing Hu, Hanning Yuan, Caicong Wu, Shuliang Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL.

Zhixiang Zhang, Shuo Chen, Yexin Li, Feng Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning.

Zheng Zhang, Ziwei Shan, Kaitao Song, Yexin Li, Kan Ren

CoRR, September, 2025

A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation.

Jiulin Li, Ping Huang, Yexin Li, Shuo Chen, Juewen Hu, Ye Tian

CoRR, August, 2025

CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning.

Yexin Li, Pring Wong, Hanfang Zhang, Shuo Chen, Siyuan Qi

CoRR, March, 2025

Enhanced Continual Learning of Vision-Language Models with Model Fusion.

Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Linghe Kong, Weiran Huang

CoRR, March, 2025

Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders.

Yipeng Kang, Junqi Wang, Yexin Li, Fangwei Zhong, Xue Feng, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Zilong Zheng

CoRR, January, 2025

Simulation and optimization of water-food-energy nexus under different subjective risks: A case study of Xiangyang section of Han River, China.

Ying Zhu, Xin Dong, Xiuquan Wang, Ning Shen, Yexin Li, Qingli Zhang

Comput. Ind. Eng., 2025

ECMF: Enhanced Cross-Modal Fusion for Multimodal Emotion Recognition in MER-SEMI Challenge.

Juewen Hu, Yexin Li, Jiulin Li, Shuo Chen, Pring Wong

Proceedings of the 3rd International Workshop on Multimodal and Responsible Affective Computing, 2025

SEDG: Stitch-Compatible End-to-End Layout Decomposition Based on Graph Neural Network.

Yifan Guo, Jiawei Chen, Yexin Li, Yunxiang Zhang, Qing Zhang, Yuhang Zhang, Yongfu Li

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Learning to Select In-Context Demonstration Preferred by Large Language Model.

Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective.

Yipeng Kang, Junqi Wang, Yexin Li, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Tingjun Wu, Xue Feng, Fangwei Zhong, Zilong Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A novel directly energy-preserving method for charged particle dynamics.

Yexin Li, Ping Jiang, Haochen Li

J. Comput. Appl. Math., 2024

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering.

Zhihui Zhang, Xiaoshuai Hao, Hanning Yuan, Lianhua Chi, Qi Guo, Qi Li, Ziqiang Yuan, Jinhui Pang, Yexin Li, Sijie Ruan

CoRR, 2024

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents.

Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Wei Wang, Yaodong Yang, Song-Chun Zhu

CoRR, 2024

A Contextual Combinatorial Bandit Approach to Negotiation.

Yexin Li, Zhancun Mu, Siyuan Qi

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

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents.

Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Yaodong Yang, Song-Chun Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Crowd-Sensing Enhanced Parking Patrol Using Sharing Bikes' Trajectories.

Tianfu He, Jie Bao, Yexin Li, Hui He, Yu Zheng

IEEE Trans. Knowl. Data Eng., April, 2023

2022

Analysis and experimental study on vibration response characteristics of mechanical harvesting of jujube.

Peng Zhuo, Yexin Li, Baoshuai Wang, Haobo Jiao, Pei Wang, Chengsong Li, Qi Niu, Lihong Wang

Comput. Electron. Agric., 2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.

Zhewen Duan, Xiuwen Yi, Peng Li, Dekang Qi, Yexin Li, Haoran Xu, Yanyong Huang, Junbo Zhang, Yu Zheng

Proceedings of the Database Systems for Advanced Applications, 2022

2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.

Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen

CoRR, 2021

POI Alias Discovery in Delivery Addresses using User Locations.

Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

Citywide Bike Usage Prediction in a Bike-Sharing System.

Yexin Li, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2020

Online Multiple Object Tracking Using Single Object Tracker and Maximum Weight Clique Graph.

Yujie Hu, Xiang Zhang, Yexin Li, Ran Tian

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.

Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cooperative Multi-Agent Reinforcement Learning in Express System.

Yexin Li, Yu Zheng, Qiang Yang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Efficient and Effective Express via Contextual Cooperative Reinforcement Learning.

Yexin Li, Yu Zheng, Qiang Yang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach.

Yexin Li, Yu Zheng, Qiang Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015

Traffic prediction in a bike-sharing system.

Yexin Li, Yu Zheng, Huichu Zhang, Lei Chen

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015