About Me

Hi, there. I am He Sun (孙贺), a third-year Ph.D. student in the Department of Computer Science and Technology & Suzhou Institute for Advanced Study & State Key Laboratory of Cognitive Intelligence at the University of Science and Technology of China (USTC), supervised by Prof. Mingjun Xiao. I was a master student at the School of Cyber Science and Technology, USTC. I am also lucky to have opportunities to collaborate with Prof. Jie Wu(Laura H. Carnell Professor, Temple University, Fellow of IEEE/AAAS), Prof. Chengzhong Xu(Dean of FST, Chair Professor, University of Macau, Fellow of IEEE), Li Li (Assistant Professor, University of Macau) and Guoju Gao (Associate Professor, Soochow University).

My research interests include Mobile Computing & ML Systems (e.g., On-device Training/Tuning of LLM, LLM Inference On Mobile/Edge Devices, Data Trading, Data Sensing, Connected Vehicles, etc.), Reinforcement Learning (Bandits/MARL, etc.), and Privacy Preservation (Differential Privacy). I have published several academic papers in top-tier international conferences and journals, including IEEE INFOCOM, IEEE ICDCS, IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, etc.

Stay hungry and stay foolish.

I am seeking opportunities for an overseas Postdoctoral Researcher in 2026. If you are interested in my research, please don’t hesitate to contact me: hesun@mail.ustc.edu.cn & he.sunny.sun@gmail.com

🔥 News

• [2025.2] Invited as an Eurosys 2025 Artifact Evaluation Committee
• [2024.9] Join the State Key Laboratory in the Internet of Things for Smart City as a Research Assistant.
• [2024.5] 🎉🎉 One paper was accepted in TMC 2024
• [2023.10] 🎉🎉 One paper was accepted in ICPADS 2023.
• [2023.10] 🎉🎉 The paper accepted in MASS 2023 was awarded Best Paper!!! [link]
• [2023.3] 🎉🎉 I won the Suzhou Industrial Park Scholarship!
• [2022.12] 🎉🎉 I won the “Yang Yuanqing” Scholarship!
• [2022.12] 🎉🎉 Two of my authored papers were accepted by IEEE INFOCOM 2023!

📝 Publications

Preprint

• He Sun, Li Li, Mingjun Xiao, Chengzhong Xu, “Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU”, Arxiv’ 25 [Paper]
• He Sun, Junyuan Mao, Mingjun Xiao, Jie Wu, “DataCupid: High-Quality Data Acquisition via Adaptive Task-Expert Stable Matching for LLM Reasoning”, Arxiv’ 25
• Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Li Li, Chengzhong Xu. “A Survey on Federated Fine-tuning of Large Language Models”, Arxiv’ 25 [paper] [project]
• Zijie Lin, Yiqing Shen, Qilin Cai, He Sun, Jinrui Zhou, Mingjun Xiao. “AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers”, Arxiv’ 25[Paper]
• Haotian Xu, Jinrui Zhou, Xichong Zhang, Mingjun Xiao, He Sun, Yin Xu. “SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation”, Arxiv’ 25[Paper]

Conferences and Journals

• [VLDB 26] He Sun, Li Li, Mingjun Xiao, Chengzhong Xu. “Efficient RAG System on a Single Commodity GPU with Computational Storage”, 52nd International Conference on Very Large Data Bases, 2026 (Under Review)
• [TMC’24] He Sun, Mingjun Xiao, Yin Xu, Guoju Gao, Shu Zhang. “Crowdsensing Data Trading for Unknown Market: Privacy, Stability, and Conflicts”, IEEE Transactions on Mobile Computing, 2024. [paper]
• [INFOCOM’23] He Sun, Mingjun Xiao, Yin Xu, Guoju Gao, Shu Zhang “Privacy-preserving Stable Crowdsensing Data Trading for Unknown Market”, Proc. IEEE INFOCOM’23, May. 2023, (Acceptance Rate: 252/1312=19.2%). [Paper] [Slide]
• [TPDS’24] Yin Xu, Mingjun Xiao, Jie Wu, He Sun. “Privacy-Preserving Task Push in Spatial Crowdsourcing with Unknown Popularity”, IEEE Transactions on Parallel and Distributed Systems, 2024
• [JCST’24] Yin Xu, Mingjun Xiao, Jie Wu, Chen Wu, Jinrui Zhou, and He Sun. “Age-of-Information-Aware Federated Learning”, Journal of Computer Science and Technology, 2024
• [ICDCS’24] Yu Zhao, Jinrui Zhou, Mingjun Xiao, Jie Wu, and He Sun, “ERS: Faster LiDAR Point Cloud Registration for Connected Vehicles”, ICDCS’24
• [MASS’24] Xinwei Huang, Yin Xu, He Sun, Jinbo Cai, Yifan Duan, Mingjun Xiao, Jie Wu. “Q2oE-Aware Deep Reinforcement Learning for Mobile Vehicles in Collaborative Edge Servers”, Proc. IEEE MASS 2024
• [TSC] Junjie Shao, Yu Zhao, He Sun, Jinbo Cai, Jie Wu, Mingjun Xiao. “Cooperative Traffic Signal Online Control Using Game Theory and Contextual Bandit”, IEEE Transactions on Services Computing, 2024 (Under Review)
• [INFOCOM’23] Shu Zhang, Mingjun Xiao, Guoju Gao, Yin Xu, He Sun “Offloading Tasks to Unknown Edge Servers: A Contextual Multi-Armed Bandit Approach”, Proc. IEEE INFOCOM WKSHPS: ICCN 2023. [Paper]
• [MASS’23] Chen Wu, Mingjun Xiao, Jie Wu, Jinrui Zhou, Yin Xu and He Sun, “Towards Federated Learning on Fresh Datasets”, Proc. IEEE MASS 2023. (Best Paper Award) [paper] [Slide]
• [ICPADS’23] Jinbo Cai, Mingjun Xiao, He Sun, Junjie Shao, Yu Zhao, Tongxiao Zhang. “Video Streaming Caching and Transcoding for Heterogeneous Mobile Users”, Proc. ICPADS’23. [Paper]
• [TMC] Yu Zhao, He Sun, Mingjun Xiao, Jie Wu, Junjie Shao, Jinbo Cai. “Edge-assisted Multi-vehicle Cooperative Perception: an Approach Based on Relative Pose Estimation”, IEEE Transactions on Mobile Computing, 2023 (Under Review)

Book Chapter

• Mingjun Xiao, Yin Xu, He Sun. “Unknown Worker Recruitment in Mobile Crowdsourcing” in “Mobile Crowdsourcing: From Theory to Practice”, edited by Jie Wu and En Wang, 2023, (Part of the Wireless Networks book series)

📝 Experiences

2024.09 - Now a Research Assistant supervised by Li Li and mentored by Chengzhong Xu.

State Key Laboratory in the Internet of Things for Smart City, University of Macau, Macau, China.

2022.07 - Now, a Research Assistant (Ph.D. student) supervised by Mingjun Xiao.

School of Computer Science and Technology, mentored by Xiangyang Li/State Key Laboratory of Cognitive Intelligence, mentored by Enhong Chen, University of Science and Technology of China, Hefei, China.

📖 Professional Services

Conferences

• Eurosys 2025 Artifact Evaluation Committee
• IEEE INFOCOM 2022 External reviewer
• IEEE INFOCOM 2023 External reviewer

Journals

• Reviewer:
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Network and Service Management (TNSM)
• External reviewer:
  • IEEE Transactions on Networking (ToN)
  • IEEE Transactions on Service Computing (TSC)
  • IEEE Transactions on Big Data (TBD)
  • Information Science (InfoSci)

🎖 Honors and Awards

Honors

• Suzhou Industrial Park Scholarship at USTC (2023.3)
• “Yang Yuanqing” Scholarship at USTC (2022.12)
• Excellent League member at USTC( 2021.4)
• 5 times first-class scholarship at QDU (2016-2020)
• “Shuguang” scholarship (2019.10)
• Outstanding student leaders prize at QDU (2018.10)
• Outstanding graduate prize at QDU (2020.5)

Competitions Awards

• Second Prize in China software open source innovation competition (National College Green Computing) Contest-21 (Open source project innovation competition) by CCF, 2021.
• Outstanding Winner(No.1) in National College Green Computing Contest-19 (Project Challenge) by CCF, 2019.
• Outstanding Winner(No.3) in National College Green Computing Contest-18 (Project Challenge) by CCF, 2018.
• Third Prize in Math Competition for College Students, 2019.
• Third Prize(Top 8) in Imagine Cup 2018 of Microsoft, 2018.
• First prize in the National High School Mathematics Competition in Shandong Province, 2015.

💬 Talks

• 2023.05:   IEEE INFOCOM 2023, 17-20 May, Stevens Institute of Technology, New York Area. slides
• 2024.07:   CIBD 2024, 20 July, State Key Laboratory of Cognitive Intelligence, USTC&iFlytek, Hefei. Poster

💻 Project

• National Innovation and Entrepreneurship Program for College Students in China, The Research and Development of Parking Sharing System in Smart City, 2018.5-2020.5.: Project leader
• Project of National Natural Science Foundation of China, Research on Intelligent and Trusted Cooperation Mechanism of Mobile Group Intelligence Computing based on blockchain, 2022.01-2025.12: Core member
• Project of National Natural Science Foundation of China, Research on Key Technologies of Secure and Trusted Mobile Group Intelligence Sensing Data Trading System, 2019.01-2022.12：Core member
• Jiangsu Provincial Natural Science Foundation Project, Research on Key Technologies of Data Trading System based on Mobile Group Intelligence Perception, 2019.07-2022.0：Core member