Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features. - Meng Hao 002; Weizhe Zhang; Yiming Wang 010; Dong Li; Wen Xia; Hao Wang 003; Chen Lou (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning. - Meng Hao 002; Weizhe Zhang; Yiming Wang 010; Gangzhao Lu; Farui Wang; Athanasios V. Vasilakos (IEEE Trans. Parallel Distributed Syst., 2021)

HiGIL: Hierarchical Graph Inference Learning for Fact Checking. - Qianren Mao; Yiming Wang 010; Chenghong Yang; Linfeng Du; Hao Peng 001; Jia Wu 001; Jianxin Li 002; Zheng Wang 001 (ICDM, 2022)

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach. - Yiming Wang 010; Weizhe Zhang; Meng Hao 002; Zheng Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning. - Yiming Wang 010; Meng Hao 002; Hui He; Weizhe Zhang; Qiuyuan Tang; Xiaoyang Sun; Zheng Wang 001 (IEEE Trans. Sustain. Comput., 2024)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. - Yiming Wang 010; Hao Peng 001; Senzhang Wang; Haohua Du; Chunyang Liu; Jia Wu 001; Guanlin Wu (CoRR, 2025)

Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems. - Yiming Wang 010; Weizhe Zhang; Meng Hao 002; Weizhi Kong; Yuan Wen (ACM Trans. Archit. Code Optim., 2025)