Kun Wang (王坤)
I obtained my Ph.D. degree from the Department of Computer Science, City University of Hong Kong (CityU), supervised by Prof. Zhenjiang Li. I also work closely with Prof. Zimu Zhou. Before that, I obtained my Bachelor's degree in Software Engineering, from Xidian University (XDU), China, 2020.
My research interests primarily lie in designing and building efficient On-Device AI systems (e.g., in Smartphones, NVIDIA Jetson or HUAWEI Atlas), including:
(1) Optimizing KV-Cache of Large Language Models (LLMs).
(2) Building efficient On-Device Heterogeneous Federated Learning (HFL) systems.
(3) Developing efficient On-Device Deep Neural Networks (DNNs) inference engine.
Note: I'm currently looking for the job opportunities of Industry Researcher or Engineer around (edge) AI Infrastructure, especially related to the acceleration of inference and training of LLMs.
If you have suitable positions, please feel free to contact me.
Email  / 
Linked In
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News
The underlined names are my first author works.
- [2024.07] I am glad to share that I have passed my PhD defense.
- [2024.06] One paper was conditionally accepted by ACM MobiCom 2024.
- [2024.03] SynMotion was accepted by ACM/IEEE IPSN Poster.
- [2024.01] SwapNet was accepted by IEEE Transactions on Mobile Computing.
- [2023.07] ASGaze was accepted by ACM TURC 2023.
- [2023.04] GearDVFS was accepted by ACM MobiCom 2023.
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[TMC' 24] SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
Kun Wang, Jiani Cao, Zimu Zhou, Zhenjiang Li
[Paper |
Slides]
An efficient memory management middleware for DNN inference on mobile edge devices, enabling large models deployment beyond the device memory constraints.
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[MobiCom' 23] A Workload-Aware DVFS Robust to Concurrent Tasks for Mobile Devices
Chengdong Lin, Kun Wang, Zhenjiang Li, Yu Pu
[Paper |
Slides |
Project |
Code]
An efficient power governor for scaling processor's frequency in concurrent tasks scenarios on mobile edge devices.
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Other Publications
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[IPSN' 24 Poster] Enhancing Human Motion Sensing with synthesized Millimeter-Waves
Xiaotong Zhang, Kun Wang, Zhenjiang Li, Jin Zhang
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[TURC' 23] Poster: Gaze Tracking on Any Surface with Your Phone
Jiani Cao, Chengdong Lin, Yang Liu, Kun Wang, Zhenjiang Li
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[TMC' 24] Practical Gaze Tracking on Any Surface with Your Phone
Jiani Cao, Jiesong Chen, Chengdong Lin, Yang Liu, Kun Wang, Zhenjiang Li
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Teaching Assistant
- Lab Tutor, [CS2310] Computer Programing, 2024 Spring, CityU
- Lab Tutor, [CS2310] Computer Programing, 2023 Spring, CityU
- Lab Tutor, [CS2310] Computer Programing, 2022 Spring, CityU
- Lab Tutor, [CS2204] Fundamentals of Internet Application Development, 2023 Fall, CityU
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Professional Services
- Invited Reviewer for IEEE Transactions on Mobile Computing (TMC), ACM IPSN, ACM IoTDI, IEEE INFOCOM, IEEE ICDCS, IEEE/ACM IWQoS, EWSN.
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Selected Honors & Awards
- Postgraduate Scholarship, CityU, Hong Kong, 2020-2024
- National Scholarship, Ministry of Education, China, 2019
- National Scholarship, Ministry of Education, China, 2018
- The Second Prize Scholarship, Xidian University, China, 2017
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Last updated August 2024
Thanks to Jon Barron for sharing the code of his personal webpage
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