Alleviating Imbalance in Synchronous Distributed Training of Deep Neural Networks. - Haiyang Lin; Mingyu Yan; Duo Wang; Wenming Li; Xiaochun Ye; Zhimin Tang; Dongrui Fan (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Alleviating datapath conflicts and design centralization in graph analytics acceleration. - Haiyang Lin; Mingyu Yan; Duo Wang; Mo Zou; Fengbin Tu; Xiaochun Ye; Dongrui Fan; Yuan Xie 001 (DAC, 2022)

Characterizing and Understanding Distributed GNN Training on GPUs. - Haiyang Lin; Mingyu Yan; Xiaocheng Yang; Mo Zou; Wenming Li; Xiaochun Ye; Dongrui Fan (IEEE Comput. Archit. Lett., 2022)

A Comprehensive Survey on Distributed Training of Graph Neural Networks. - Haiyang Lin; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Shirui Pan; Wenguang Chen; Yuan Xie 001 (Proc. IEEE, 2023)

FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training. - Zhilu Wang; Haiyang Lin; Qi Liu; Yonghong Zhang; Xiaodong Liu (QRS Companion, 2024)

A Spatial Positioning method of light absorbing material Object for Volute Depalletising System based on RGB-d Camera. - Ping Yang; Shuonan Xiao; Runxi Wu; Haiyang Lin (Int. J. Robotics Autom., 2025)

A Multi-Tier Offloading Optimization Strategy for Consumer Electronics in Vehicular Edge Computing. - Haiyang Lin; Bo Xiao; Xiaokang Zhou; Yonghong Zhang; Xiaodong Liu 002 (IEEE Trans. Consumer Electron., 2025)