Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at signalized corridors. - Zhihan Li; Weichao Zhuang; Guodong Yin; Fei Ju; Qun Wang; Haonan Ding (IV, 2022)

Engineering design optimisation using reinforcement learning with episodic controllers. - Jun Yang; Zhenbo Cheng; Gang Xiao 001; Xuesong Xu; Yaming Wang; Haonan Ding; Diting Zhou (Cogn. Comput. Syst., 2022)

Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements. - Xingfeng Chen; Limin Zhao; Fengjie Zheng; Jiaguo Li; Lei Li; Haonan Ding; Kainan Zhang; Shumin Liu; Donghui Li; Gerrit de Leeuw (Remote. Sens., 2022)

FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG. - Haonan Ding; Limin Zhao; Shanwei Liu; Xingfeng Chen; Gerrit de Leeuw; Fu Wang; Fengjie Zheng; Yuhuan Zhang; Jun Liu; Jiaguo Li; Lu She; Yidan Si; et al. (Remote. Sens., 2022)

Carbon Emissions Reduction of Neural Network by Discrete Rank Pruning. - Songwen Pei; Jie Luo; Sheng Liang; Haonan Ding; Xiaochun Ye; Mingsong Chen 001 (CCF Trans. High Perform. Comput., 2023)

Collaborative Orchestration with Probabilistic Routing for Dynamic Service Mesh in Clouds. - Yi Hu; Haonan Ding; Haoxuan Chen; Jianwen He; Menglan Hu; Chao Cai 001; Kai Peng 001 (INFOCOM, 2025)

Large-Scale Service Mesh Orchestration With Probabilistic Routing in Cloud Data Centers. - Kai Peng 001; Yi Hu; Haonan Ding; Haoxuan Chen; Liangyuan Wang; Chao Cai 001; Menglan Hu (IEEE Trans. Serv. Comput., 2025)

Energy-Delay-Aware Joint Microservice Deployment and Request Routing With DVFS in Edge: A Reinforcement Learning Approach. - Liangyuan Wang; Xudong Liu; Haonan Ding; Yi Hu; Kai Peng 001; Menglan Hu (IEEE Trans. Computers, 2025)