Yiming Wang

According to our database, Yiming Wang authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Self-Evolving Multi-Agent Framework for Efficient Decision Making in Real-Time Strategy Scenarios.

Li Ma, Hao Peng, Yiming Wang, Hongbin Luo, Jie Liu, Kongjing Gu, Guanlin Wu, Hui Li, Lei Ren

CoRR, March, 2026

2025

Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems.

Yiming Wang, Weizhe Zhang, Meng Hao, Weizhi Kong, Yuan Wen

ACM Trans. Archit. Code Optim., June, 2025

Privacy-enhanced data distillation with probability distribution matching.

Ke Pan, Yuxin Wen, Yiming Wang, Maoguo Gong, Hui Li, Shanfeng Wang

Neurocomputing, 2025

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.

Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning.

Yiming Wang, Meng Hao, Hui He, Weizhe Zhang, Qiuyuan Tang, Xiaoyang Sun, Zheng Wang

IEEE Trans. Sustain. Comput., 2024

2022

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach.

Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2022

A new two-stage based evolutionary algorithm for solving multi-objective optimization problems.

Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie

Inf. Sci., 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.

Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning.

Meng Hao, Weizhe Zhang, Yiming Wang, Gangzhao Lu, Farui Wang, Athanasios V. Vasilakos

IEEE Trans. Parallel Distributed Syst., 2021

2019

Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features.

Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Hao Wang, Chen Lou

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019