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2020 – today
- 2025
[j2]Liwen Peng
, Songlei Jian, Minne Li, Zhigang Kan, Linbo Qiao, Dongsheng Li:
A unified multimodal classification framework based on deep metric learning. Neural Networks 181: 106747 (2025)- 2024
- [c13]Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Minne Li, Zunlin Fan, Zhiyuan Wang, Guang Kou:
Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning. ICANN (4) 2024: 325-339 - 2023
- [c12]Zihao Li, Yuan Zhou, Zhiyuan Wang, Minne Li:
Swarm GAN: Stabilizing Training of Generative Adversarial Networks via Swarm Intelligence. MLMI 2023: 171-177 - 2022
- [c11]Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI 2022: 74-87 - 2021
- [c10]David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. ICML 2021: 7688-7699 - [i12]David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang:
Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR abs/2103.09284 (2021) - [i11]Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR abs/2106.06828 (2021) - 2020
- [c9]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI 2020: 7325-7332 - [i10]Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar:
Compositional ADAM: An Adaptive Compositional Solver. CoRR abs/2002.03755 (2020) - [i9]Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR abs/2012.14228 (2020)
2010 – 2019
- 2019
- [c8]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 2019: 1983-1992 - [c7]Minne Li, Lisheng Wu, Jun Wang, Haitham Bou-Ammar:
Multi-View Reinforcement Learning. NeurIPS 2019: 1418-1429 - [c6]Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW 2019: 983-994 - [i8]Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1901.11454 (2019) - [i7]Minne Li, Pranav Nashikkar, Jun Wang:
Optimizing Object-based Perception and Control by Free-Energy Principle. CoRR abs/1903.01385 (2019) - [i6]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR abs/1905.11353 (2019) - [i5]Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang:
Bi-level Actor-Critic for Multi-agent Coordination. CoRR abs/1909.03510 (2019) - [i4]Minne Li, Lisheng Wu, Haitham Bou-Ammar, Jun Wang:
Multi-View Reinforcement Learning. CoRR abs/1910.08285 (2019) - 2018
- [c5]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. ICML 2018: 5567-5576 - [i3]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1802.05438 (2018) - [i2]Lisheng Wu, Minne Li, Jun Wang:
Learning Shared Dynamics with Meta-World Models. CoRR abs/1811.01741 (2018) - 2017
- [c4]Min-ne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li:
S-OHEM: Stratified Online Hard Example Mining for Object Detection. CCCV (3) 2017: 166-177 - [i1]Min-ne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li:
S-OHEM: Stratified Online Hard Example Mining for Object Detection. CoRR abs/1705.02233 (2017) - 2016
- [j1]Yunxiang Zhao, Wanxin Zhang, Dongsheng Li, Zhen Huang, Min-ne Li, Xicheng Lu:
Pegasus: a distributed and load-balancing fingerprint identification system. Frontiers Inf. Technol. Electron. Eng. 17(8): 766-780 (2016) - [c3]Chengfei Zhang, Yiming Zhang, Dongsheng Li, Jia Li, Min-ne Li:
SMARTPARTITION: Efficient Partitioning for Natural Graphs. CLUSTER 2016: 130-131 - [c2]Yong Lu, Shaohe Lv, Xue Yang, Xiaodong Wang, Min-ne Li, Xingming Zhou:
Learning from wireless: A prospective approach to Human-Centered Computing. IJCNN 2016: 1883-1889 - [c1]Min-ne Li, Dongsheng Li, Siqi Shen, Zhaoning Zhang, Xicheng Lu:
DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets. NPC 2016: 133-146
Coauthor Index
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