Haibo Liu

About Me

I received my Ph.D. in Computer Science from Shanghai Jiao Tong University (SJTU) in 2025, advised by Prof. Fan Wu and Prof. Zhenzhe Zheng. Prior to that, I received my M.S. in Computer Science from Zhejiang Normal University(ZJNU), advised by Prof. Jianfeng Lu.

On-Device Machine Learning : Fine tuning LLM or continual Learning on edge devices.
Intelligent Mobile Computing : Device-Cloud Collaboration, Federated Learning.
Optimization Algorithm Design: Online Convex Optimization, Matching Theory, Game Theory.

Preprint ELITE:Device-Cloud Collaborative Continual Learning for Real-Time Inference at the Edge

Haibo Liu, Chenxin Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen

Under Review

ACM MM'26 Well Begun is Half Done: Efficient Initialization for Online Continual Learning via Two-Stage Model Merging

Haibo Liu, Chen Gong, Zhenzhe Zheng, Fan Wu, Guihai Chen, He Huang

ACM International Conference on Multimedia ( CCF-A)

ACM KDD'26 Lethe:Plasticity-aware Active Forgetting for Resource-Efficient On-Device Continual Learning

Haibo Liu, Chenxin Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen, He Huang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining ( CCF-A, Acceptance Rate=18.5%)

IEEE TMC'25 From Non-IID to IID: Mobility-aware Hierarchical Federated Learning with Client-Edge Association Control

Haibo Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen

IEEE Transactions on Mobile Computing (CCF-A)

ACM WWW'25 Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration

Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu

ACM International World Wide Web Conference ( CCF-A, Acceptance Rate=19.8%)

IEEE INFOCOM'25 Latency-aware Online Continual Learning for Non-Stationary Data Streams

Haibo Liu, Da Huo, Zhenzhe Zheng, Fan Wu

IEEE International Conference on Computer Communications ( CCF-A, Acceptance Rate=18.6%)

IEEE TSC'24 FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning

Haibo Liu, Jianfeng Lu, Xiong Wang, Chen Wang, Riheng Jia, Minglu Li

IEEE Transactions on Services Computing (CCF-A)

ACM WWW'26 Smaller but Better: Plasticity-Preserving On-Device Continual Learning for Embedded AI

Chenxin Mao, Haibo Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen

ACM International World Wide Web Conference ( CCF-A, Acceptance Rate=20.1%)

IEEE TSC'23 Incentivizing proportional fairness for multi-task allocation in crowdsensing

Jianfeng Lu, Haibo Liu, Riheng Jia, Zhao Zhang, Xiong Wang, Jiangtao Wang

IEEE Transactions on Services Computing (CCF-A)

IEEE TII'22 Towards Personalized Federated Learning Via Group Collaboration in IIoT

Jianfeng Lu, Haibo Liu, Riheng Jia, Jiangtao Wang, Lichao Sun, Shaohua Wan

IEEE Transactions on Industrial Informatics (CAA-A, SCI-1区TOP)

IEEE TII'21 Toward fairness-aware time-sensitive asynchronous federated learning for critical energy infrastructure

Jianfeng Lu, Haibo Liu, Zhao Zhang, Jiangtao Wang, Sotirios K Goudos, Shaohua Wan

IEEE Transactions on Industrial Informatics (CAA-A, SCI-1区TOP)

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