Publications

Journal Papers

• Tao Ling, Siping Shi, Hao Wang, Chuang Hu, and Dan Wang, “An Efficient On-Device Federated Learning System through the Interplay of Client Selection and Batch Size with Watermarked Data“,TMC, 2025.[CCF A]
• Yi Wei, Xuan Zhou, Hao Huang, Hao Wang, Chuang Hu, Jiawei Jiang, “Secure spatial remote sensing image matching”, GeoInformatica, 2025.
• Wenhan Wu, Huanghuang Liang, Tianyu Tu, Jiawei Jiang, Chuang Hu, Dazhao Cheng, “Mimir: Data-Free Federated Unlearning Through Client-Specific Prompt Generation for Personalized Models”, IEEE TMC, 2025. [CCF A]
• Jingrou Wu, Chuang Hu, Jin Zhang, Dan Wang, Jing Jiang, “Gemini+: Enhancing Real-Time Video Analytics with Dual-Image FPGAs”, IEEE TCAD, 2025. [CCF A]
• Xiaoming Han, Boan Liu, Chuang Hu, Dazhao Cheng, “OWL: Worker-assisted server bandwidth optimization for efficient communication federated learning”, JPDC, 2025. [CCF B]
• Rui Ge, Huanghuang Liang, Zhen Gong，Chuang Hu, Xiaobo Zhou, Dazhao Cheng, “Streamlining Data Transfer in Collaborative SLAM Through Bandwidth-Aware Map Distillation”, IEEE TMC, 2025. [CCF A]
• Yuqing Zhang, Chuang Hu, Dazhao Cheng, “GVA: general content-aware feature map reusing structure for edge-side video analytics”, Journal of Electronic Imaging, 2025.
• Hanqi Feng, Chuang Hu, Dazhao Cheng, “Priva: privacy reversible and intelligible video analytics system through diffusion restoration models”, Journal of Electronic Imaging, 2025.
• Huanghuang Liang, Xin Yang, Xiaoming Han, Boan Liu,Chuang Hu, Dan Wang, Xiaobo Zhou, Dazhao Cheng, “Spread+: Scalable Model Aggregation in Federated Learning with Non-IID Data”, IEEE TPDS, 2025. [CCF A]
• Chuang Hu, Nanxi Wu, Siping Shi, Xuan Liu, Bin Luo, Kanye Ye Wang, Jiawei Jiang, Dazhao Cheng, “PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness”, IEEE TMC, 2024. [CCF A]
• Chuang Hu, Tianyu Tu, Yili Gong, Jiawei Jiang, Zhigao Zheng, Dazhao Cheng, “Tackling Multiplayer Interaction for Federated Generative Adversarial Networks”, IEEE TMC, 2024. [CCF A]
• Zhigao Zheng, Guojia Wan, Jiawei Jiang, Chuang Hu, Hao Liu, Shahid Mumtaz, Bo Du, “Lock-free triangle counting on GPU”, IEEE TC, 2024. [CCF A]
• Qianlong Sang, Jinqi Yan, Rui Xie, Chuang Hu, Kun Suo, Dazhao Cheng, “QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices”, IEEE TMC, 2024. [CCF A]
• Yaqi Xia, Zheng Zhang, Donglin Yang, Chuang Hu, Xiaobo Zhou, Hongyang Chen, Qianlong Sang, Dazhao Cheng, “Redundancy-free and load-balanced TGNN training with hierarchical pipeline parallelism”, IEEE TPDS, 2024. [CCF A]
• Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang, “How Good Are Machine Learning Clouds?—Benchmarking Two Snapshots over Five Years”, VLDBJ, 2024. [CCF A]
• Dazhao Cheng, Kai Yan, Xinquan Cai, Yili Gong, Chuang Hu, “SLO-Aware Function Placement for Serverless Workflows with Layer-Wise Memory Sharing”, IEEE TPDS, 2024. [CCF A]
• Tianyu Tu, Zhili He, Zhigao Zheng, Zimu Zheng, Jiawei Jiang, Yili Gong, Chuang Hu, Dazhao Cheng, “Towards Lifelong Unseen Task Processing With a Lightweight Unlabeled Data Schema for AIoT”, IEEE IoTJ, 2024. [CCF C]
• Zheng Zhang, Yaqi Xia, Hulin Wang, Donglin Yang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng, “MPMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism”, IEEE TPDS, 2024. [CCF A][Best Paper Runner-up]
• Yukun Xu, Wenhan Wu, Yili Gong, Kanye Ye Wang, Chuang Hu, Dazhao Cheng, “Frustum: achieving high throughput in blockchain systems through hierarchical and pipelined sharding”, BlockChain, 2024
• Xingquan Cai, Qianlong Sang, Chuang Hu, Yili Gong, Kun Suo, Xiaobo Zhou, Dazhao Cheng, “Incendio: Priority-based Scheduling for Alleviating Cold Start in Serverless Computing”, IEEE TC, 2024. [CCF A]
• Ziqi Xiao, Zhili He, Huanghuang Liang, Chuang Hu, Dazhao Cheng, “Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning with Real-world Dataset”, IEEE TII, 2024. [CCF C]
• Sen Fu, Zhengjie Yang, Chuang Hu, Wei Bao, “Personalized Federated Learning with Contrastive Momentum”, IEEE TBD, 2024. [CCF C]
• Chuang Hu, Rui Lu, Qianlong Sang, Huanghuang Liang, Dan Wang, Dazhao Cheng, Jin Zhang, Qing Li, Junkun Peng, “An Edge-side Real-time Video Analytics System with Dual Computing Resource Control”, IEEE TC, 2023. [CCF A]
• Huanghuang Liang, Zheng Zhang, Chuang Hu, Yili Gong, Dazhao Cheng, “A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications”, IEEE TBD, 2023. [CCF C]
• Siping Shi, Chuang Hu, Dan Wang, Yifei Zhu, Zhu Han, “Federated HD Map Updating through Overlapping Coalition Formation Game”, IEEE TMC, 2023. [CCF A]
• Junkun Peng, Qing Li, Xun Tang, Dan Zhao, Chuang Hu, Yong Jiang, “A Cooperative Caching System in Heterogeneous Edge Networks”, IEEE TMC, 2023. [CCF A]
• Huanghuang Liang, Qianlong Sang, Chuang Hu, Yili Gong, Dazhao Cheng, Xiaobo Zhou, Yu Wang, “TAPU: A Transmission-Analytics Processing Unit for Accelerating Multi-functions in IoT Gateways”, IEEE IoTJ, 2023. [CCF C]
• Huanghuang Liang, Qianlong Sang, Chuang Hu, Dazhao Cheng, Xiaobo Zhou, Dan Wang, Wei Bao, Yu Wang, “DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning”, IEEE TCC, 2023. [CCF C]
• Siping Shi, Chuang Hu, Dan Wang, Yifei Zhu, Zhu Han, “Federated Anomaly Analytics for Local Model Poisoning Attack”, IEEE JSAC, 2022. [CCF A]
• Chuang Hu, Rui Lu, Dan Wang, “FEVA: A FEderated Video Analytics Architecture for Networked Smart Cameras”, IEEE Network, 2021.
• Qiong Chen, Zimu Zheng, Chuang Hu, Dan Wang, Fangming Liu, “On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation”, IEEE TPDS, 2020. [CCF A]
• Dan Wang, Wei Bao, Chuang Hu, Yi Qian, Muqiao Zheng, Shi Wang, “sTube: An Architecture for IoT Communication Sharing”, IEEE Communications Magazine, 2018.
• Chuang Hu, Wei Bao, Dan Wang, Yi Qian, Muqiao Zheng, Shi Wang, “sTube+: An IoT Communication Sharing Architecture for Smart After-sales Maintenance in Buildings”, ACM TOSN, 2018. [CCF B]
• Yili Gong, Chuang Hu, Yanyan Xu, et al., “A Distributed File System with Variable Sized Objects for Enhanced Random Writes”, The Computer Journal, 2016. [CCF B]

Conference Papers

• Xiaoyue Yang, Chuang Hu, Dazhao Cheng, “Seaswarm: Mitigating Stragglers in Cross-Silo Swarm Learning via Semi-asynchronous Communication”, ICIC’25, 2025. [CCF C]
• Yujia Tong, Yuze Wang, Jingling Yuan, Chuang Hu, “Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels”, ICCV’25, 2025. [CCF A]
• Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang, “Model Rake: A Defense Against Stealing Attacks in Split Learning”, IJCAI’25, 2025. [CCF A]
• Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang, “Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph”, IJCAI’25, 2025. [CCF A]
• Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng, “Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric”, IJCAI’25, 2025. [CCF A]
• Wenhan Wu, Yili Gong, Jiawei Jiang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng, “Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning”, IEEE ICDE’25, 2025. [CCF A]
• Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang, “HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning”, AAAI’25, 2025. [CCF A]
• Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang, “RAP: Random Projection is What You Need for Vertical Federated Learning”, DASFAA’25, 2025. [CCF B]
• Wenhan Wu, Jiawei Jiang, Chuang Hu, “Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks”, WWW’25, 2025. [CCF A]
• Siyu Wang, Janice Jianing Si, Huanghuang Liang, Chuang Hu, Dazhao Cheng, Yujun Zhu, Xiaobo Zhou, Kanye Ye Wang, “Understanding the Challenges Children Face with non-English-based Programming Language Due to the Language Translation: A Case Study of Keywords in the Chinese Version of Scratch”, ACM CHI’25, 2025. [CCF A]
• Hangkit Choi, Junxuan Liao, Yuming Xiong, Yili Gong, Chuang Hu, Dazhao Cheng, “Finestra: Multi-aggregator Swarm Learning for Gradient Leakage Defense”, ICA3PP’24, 2024. [CCF C]
• Tao Ling, Siping SHI, Hao Wang, Chuang Hu, Dan Wang, “Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data”, ACM MM’24, 2024. [CCF A]
• Yihang Fu, Mingwei Jing, Jiaolun Zhou, Peilin Wu, Ye Wang, Luyao Zhang, Chuang Hu, “Quantifying the blockchain trilemma: A Comparative Analysis of Algorand, Ethereum 2.0, and Beyond”, IEEE MetaCom’24, 2024. [CCF A]
• Zhili He, Tianyu Tu, Kanye Ye Wang, Bing Luo, Dazhao Cheng, Chuang Hu, “Federated Spectrum Management Through Hedonic Coalition Formation”, IEEE ApNet’24, 2024. [CCF C]
• Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang, “TreeCSS: An Efficient Framework for Vertical Federated Learning”, DASFAA’24, 2024. [CCF B]
• Yufan Lu, Chuang Hu, Yili Gong, Dazhao Cheng, “Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile Devices”, ICIC’24, 2024. [CCF C]
• Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang, “Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning”, IEEE ICDE’24, 2024. [CCF A]
• Rui Lu, Lai Wei, Shuntao Zhu, Chuang Hu, Dan Wang, “Pagoda: Privacy Protection for Volumetric Video Streaming through Poisson Diffusion Model”, ACM MM’23, 2023. [CCF A]
• Junkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu, Meng Chen, “MagNet: Cooperative Edge Caching by Automatic Content Congregating”, ACM WWW’22, 2022. [CCF A]
• Bihai Zhang, Siping Shi, Dan Wang, Chuang Hu, “EPC: a Video Analytics System with Efficient Edge-side Privacy Control”, Mobiarch’22, 2022.
• Rui Lu, Siping Shi, Dan Wang, Chuang Hu, Bihai Zhang, “Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation”, ACM/IEEE SEC’22, 2022.
• Chuang Hu, Huanghuang Liang, Xiaoming Han, Boan Liu, Dazhao Cheng, Dan Wang, “Spread: Decentralized Model Aggregation for Scalable Federated Learning”, ICPP’22, 2022. [CCF B].
• 魏森, 周浩然, 胡创, 程大钊, “基于混合内存的 Apache Spark 缓存系统实现与优化”, 全国开放式分布与并行计算学术年会（DPCS), 2022. [Best Paper]
• Rui Lu, Chuang Hu, Dan Wang, Jin Zhang, “Gemini: a Real-time Video Analytics System with Dual Computing Resource Control”, ACM/IEEE SEC’22, 2022.
• Siping Shi, Chuang Hu, Dan Wang, Yifei Zhu, Zhu Han, “Distributionally Robust Federated Learning for Differentially Private Data”, IEEE ICDCS’22, 2022. [CCF B]
• Chuang Hu, Wei Bao, Dan Wang, Fengming Liu, “Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge”, IEEE INFOCOM’19, 2019. [CCF A]
• Qiong Chen, Zimu Zheng, Chuang Hu, Dan Wang, Fangming Liu, “Data-driven Task Allocation for Multi-task Transfer Learning on the Edge”, IEEE ICDCS’19, 2019. [CCF B]
• Chuang Hu, Wei Bao, Dan Wang, “IoT Communication Sharing: Scenarios, Algorithms and Implementation”, IEEE INFOCOM’18, 2018. [CCF A]
• Chuang Hu, Wei Bao, Dan Wang, Yi Qian, Muqiao Zheng, Shi Wang, “sTube+: An IoT Communication Sharing Architecture for Smart After-sales Maintenance in Buildings”, ACM BuildSys’17, 2017.
• Zimu Zheng, Chuang Hu, Dan Wang, “Time-aware Chiller Sequencing Control with Data-driven Chiller Performance Profiling (Poster)”, ACM BuildSys’17, 2017.
• Yili Gong, Chuang Hu, Wentao Ma, et al., “CC-Paxos: Integrating Consistency and Reliability in Wide-Area Storage Systems”, IEEE ICPADS’16, 2016. [CCF C]