📝 Publications
(*: equal contribution, underlined name: student first author I co-mentor, #: corresponding author)
IEEE TETCI 2026SageIQ: Scene-Graph-Guided Blind Image Quality Assessment, Renwei Yang, Zhengjie Yang, Yun Wang, Dapeng Oliver Wu, Shiqi WangIEEE TCC 2026Causality-aware Graph Mixture of Experts for Accurate Multi-cloud Workload Prediction, Yongcan Luo, Zhihao Yu, Jiahao Zheng, Zhengjie Yang, Lei Sun, Dapeng WuIEEE TIP 2026SMFormer: Empowering Self-supervised Stereo Matching via Foundation Models and Data Augmentation, Yun Wang, Zhengjie Yang#, Jiahao Zheng, Zhanjie Zhang, Dapeng Oliver Wu, Yulan GuoIEEE TSC 2026Towards Robust and Fair Partial Label Federated Learning Service, Sen Fu, Wei Bao, Zhengjie Yang, Xinyi Sheng, Yichen Guo, Yuqin Liu, Bing Bing ZhouTAI 2026Recent Advances in Artificial Intelligence for Music Education, Guo Yu, Guanyi Zhao, Zhengjie Yang#TechRxiv 2026A Survey on Efficient Federated Pruning: Progress, Challenges, and Opportunities, Hong Huang, Zhengjie Yang#, Ning Chen, Juntao Hu, Xue Liu, Jinhai Yang, Dapeng WuTAI 2026FedA 4: Federated Learning with Anti-Bias Aggregation and TrAjectory-Based Adaptation, Guanyi Zhao, Juntao Hu, Zhengjie Yang#, Dapeng Oliver WuCIKM 2025Toward Secure Federated Partial Label Learning Against Poisoning Attacks, Xubin Chen, Zhengjie Yang, Xinyi Sheng, Sen Fu, Wei BaoTAI 2025Federated Learning for Medical Image Analysis: Privacy-Preserving Paradigms and Clinical Challenges, Juntao Hu, Zhengjie Yang#, Peng Wang, Guanyi Zhao, Hong Huang, Zhimin Zong, Dapeng Oliver WuTAI 2025Recent Advances in Artificial Intelligence for Management and Financial Technology, Renwei Yang*, Yun Wang*, Yongcan Luo*, Zhengjie Yang#, Zhimin Zong, Dapeng Oliver WuIEEE TNNLS 2025Pleno-Alignment Framework for Stock Trend Prediction, Yongcan Luo*, Jiahao Zheng*, Zhengjie Yang, Ning Chen, Dapeng WuIEEE TDSC 2024FairGuard: A Fairness Attack and Defense Framework in Federated Learning, Xinyi Sheng, Zhengjie Yang, Wei BaoIEEE TBD 2024Personalized Federated Learning with Contrastive Momentum, Sen Fu, Zhengjie Yang, Chuang Hu, Wei BaoIEEE ICDCS 2023Hierarchical Federated Learning with Adaptive Momentum in Multi-tier Networks, Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Bing Bing ZhouIEEE TPDS 2023Hierarchical Federated Learning with Momentum Acceleration in Multi-tier Networks, Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Albert Y. ZomayaIEEE TPDS 2022Federated Learning with Nesterov Accelerated Gradient, Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen H. Tran, Albert Y. ZomayaIEEE TAI 2022FastSlowMo: Federated Learning with Combined Worker and Aggregator Momenta, Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, Albert Y. ZomayaACM MSWiM 2018SFog: Seamless Fog Computing Environment for Mobile IoT Applications, Wei Bao, Dong Yuan, Zhengjie Yang, Shen Wang, Bing Bing Zhou, Stewart Adams, Albert Y. ZomayaIEEE Communications Magazine 2017Follow Me Fog: Toward Seamless Handover Timing Schemes in a Fog Computing Environment, Wei Bao, Dong Yuan, Zhengjie Yang, Shen Wang, Wei Li, Bing Bing Zhou, Albert Y. Zomaya