Dong Li

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Attribute Oriented

Top Venues

Publications

Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP (2023)
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR (2023)
Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR (2023)
Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
Neuro-Symbolic Hierarchical Rule Induction. ICML (2022)
Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS (2022)
Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) (2022)
Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR (2022)
Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) (2022)
Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR (2022)
Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. CoG (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC (2022)
Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR (2022)
Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
SEREN: Knowing When to Explore and When to Exploit. CoRR (2022)
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
Adaptive Online Packing-guided Search for POMDPs. NeurIPS (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)