SMARTPARTITION: Efficient Partitioning for Natural Graphs. - Chengfei Zhang; Yiming Zhang 003; Dongsheng Li 001; Jia Li; Min-ne Li (CLUSTER, 2016)

Learning from wireless: A prospective approach to Human-Centered Computing. - Yong Lu; Shaohe Lv; Xue Yang; Xiaodong Wang 002; Min-ne Li; Xingming Zhou (IJCNN, 2016)

DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets. - Min-ne Li; Dongsheng Li 001; Siqi Shen; Zhaoning Zhang 001; Xicheng Lu (NPC, 2016)

Pegasus: a distributed and load-balancing fingerprint identification system. - Yunxiang Zhao; Wanxin Zhang; Dongsheng Li 001; Zhen Huang 006; Min-ne Li; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2016)

S-OHEM: Stratified Online Hard Example Mining for Object Detection. - Min-ne Li; Zhaoning Zhang 001; Hao Yu 010; Xinyuan Chen; Dongsheng Li 001 (CCCV (3), 2017)

Mean Field Multi-Agent Reinforcement Learning. - Yaodong Yang 001; Rui Luo 001; Minne Li; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012 (ICML, 2018)

Learning Shared Dynamics with Meta-World Models. - Lisheng Wu; Minne Li; Jun Wang 012 (CoRR, 2018)

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Jiarui Jin; Ming Zhou 006; Weinan Zhang 001; Minne Li; Zilong Guo; Zhiwei (Tony) Qin; Yan Jiao; Xiaocheng Tang; Chenxi Wang; Jun Wang 012; Guobin Wu 001; Jieping Ye (CIKM, 2019)

Multi-View Reinforcement Learning. - Minne Li; Lisheng Wu; Jun Wang 012; Haitham Bou-Ammar (NeurIPS, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (WWW, 2019)

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Minne Li; Zhiwei (Tony) Qin; Yan Jiao; Yaodong Yang 001; Zhichen Gong; Jun Wang 012; Chenxi Wang; Guobin Wu 001; Jieping Ye (CoRR, 2019)

Optimizing Object-based Perception and Control by Free-Energy Principle. - Minne Li; Pranav Nashikkar; Jun Wang 012 (CoRR, 2019)

Bi-Level Actor-Critic for Multi-Agent Coordination. - Haifeng Zhang 002; Weizhe Chen 001; Zeren Huang; Minne Li; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (AAAI, 2020)

Compositional ADAM: An Adaptive Compositional Solver. - Rasul Tutunov; Minne Li; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

Causal World Models by Unsupervised Deconfounding of Physical Dynamics. - Minne Li; Mengyue Yang; Furui Liu; Xu Chen 017; Zhitang Chen; Jun Wang 012 (CoRR, 2020)

Learning in Nonzero-Sum Stochastic Games with Potentials. - David Henry Mguni; Yutong Wu 005; Yali Du 001; Yaodong Yang 001; Ziyi Wang 004; Minne Li; Ying Wen 001; Joel Jennings; Jun Wang 012 (ICML, 2021)

A Game-Theoretic Approach to Multi-agent Trust Region Optimization. - Ying Wen 001; Hui Chen; Yaodong Yang 001; Minne Li; Zheng Tian 002; Xu Chen 017; Jun Wang 012 (DAI, 2022)

Swarm GAN: Stabilizing Training of Generative Adversarial Networks via Swarm Intelligence. - Zihao Li; Yuan Zhou 028; Zhiyuan Wang; Minne Li (MLMI, 2023)

Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning. - Wangyang Yue; Yuan Zhou 028; Xiaochuan Zhang; Yuchen Hua; Minne Li; Zunlin Fan; Zhiyuan Wang; Guang Kou (ICANN (4), 2024)

PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning. - Kun Hu; Muning Wen; Xihuai Wang; Shao Zhang; Yiwei Shi; Minne Li; Minglong Li; Ying Wen 001 (AAMAS, 2025)

A unified multimodal classification framework based on deep metric learning. - Liwen Peng; Songlei Jian; Minne Li; Zhigang Kan; Linbo Qiao; Dongsheng Li 001 (Neural Networks, 2025)

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments. - Wenjie Tang; Yuan Zhou 028; Erqiang Xu; Keyan Cheng; Minne Li; Liquan Xiao (CoRR, 2025)