About me

I am currently a Postdoctoral Fellow at City University of Hong Kong. I received the Ph.D. degree in 2024 from the Department of Computer Science, CityU, under the supervision of Prof. Zhenjiang Li. I also work closely with Prof. Zimu Zhou. Before that, I received the B.E. degree in Software Engineering from Xidian University, China, in 2020.

My research interests primarily lie in On-Device AI Infra and On-Device AI Agents (e.g., in smartphones and edge devices.)

Education & Experience

2024 - Present
City University of Hong Kong (CityU)
Postdoctoral Fellow, Department of Computer Science
2020 - 2024
City University of Hong Kong (CityU)
Ph.D. in Computer Science
2016 - 2020
Xidian University (XDU)
B.E. in Software Engineering

Publications

The * denotes co-first authorship.

MobiCom'26 NPUGen: NPU as KV Generator for Stable Long-Context Mobile LLM Inference

Kun Wang, Jiani Cao, Zhenjiang Li

In Proc. of ACM MobiCom, 2026. (CCF-A)
MobiCom'26 ExoMem: OS-Governed Memory for Local Large-LLM Inference on Mobile Edge Devices

Jun You*, Kun Wang*, Jiesong Chen, Zhidan Liu, Zhenjiang Li

In Proc. of ACM MobiCom, 2026. (CCF-A)
TMC'26 ChronoCache: Adaptive KV State Management for Constant-Memory Edge LLM Inference

Kun Wang, Zimu Zhou, Zhenjiang Li

In IEEE Transactions on Mobile Computing, 2026. (CCF-A)
TMC'25 Towards Accurate Training Time Estimation for On-Device Heterogeneous Federated Learning

Kun Wang, Zimu Zhou, Zhenjiang Li

In IEEE Transactions on Mobile Computing, 2025. (CCF-A)
MobiCom'24 LATTE: Layer Algorithm-aware Training Time Estimation for Heterogeneous Federated Learning

Kun Wang, Zimu Zhou, Zhenjiang Li

In Proc. of ACM MobiCom, 2024. (CCF-A)
TMC'24 SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget

Kun Wang, Jiani Cao, Zimu Zhou, Zhenjiang Li

In IEEE Transactions on Mobile Computing, 2024. (CCF-A)
SenSys'26 NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals

Jiani Cao, Kun Wang, Yang Liu, Zhenjiang Li

In Proc. of ACM SenSys, 2026. (CCF-B)
MobiCom'23 A Workload-Aware DVFS Robust to Concurrent Tasks for Mobile Devices

Chengdong Lin, Kun Wang, Zhenjiang Li, Yu Pu

In Proc. of ACM MobiCom, 2023. (CCF-A)
TMC'26 Systematic Pruning and Acceleration for TinyML on Extremely Weak IoT Devices

Jiani Cao, Lixiang Han, Kun Wang, Zhen Xiao, Zhenjiang Li

In IEEE Transactions on Mobile Computing, 2026. (CCF-A)
TMC'24 Practical Gaze Tracking on Any Surface with Your Phone

Jiani Cao, Jiesong Chen, Chengdong Lin, Yang Liu, Kun Wang, Zhenjiang Li

In IEEE Transactions on Mobile Computing, 2024. (CCF-A)

Honors and Awards

2026: MobiSys Rising Star
2025: AIoTSys Rising Star
2020 - 2024: Postgraduate Scholarship, CityU, Hong Kong
2019: National Scholarship, Ministry of Education, China
2018: National Scholarship, Ministry of Education, China
2017: The Second Prize Scholarship, Xidian University, China

Invited Talks

2025.08: AIoTSys Rising Star Forum — “Towards Accurate Training Time Estimation for On-Device HFL”
2025.05: CCF-Talk (Issue 8), invited by CCF — “Towards Accurate Training Time Estimation for On-Device HFL”
2025.04: Flower Monthly, invited by Flower Labs — “Towards Accurate Training Time Estimation for On-Device HFL”
2024.10: Xidian University Seminar — “Resource Efficient Mobile Edge Computing”

Professional Services

TPC Member

IEEE MASS, 2026
ACM MobiCom Demos, 2025

Invited Reviewer for

ACM MobiCom, 2025-27
ACM SenSys, 2024-25
ACM MobiSys, 2026
ACM/IEEE IPSN, 2024
ACM/IEEE IWQoS, 2023-24
ACM IoTDI, 2022 & 2024
IEEE INFOCOM, 2022-27
IEEE ICDCS, 2023-24 & 26
IEEE Transactions on Mobile Computing (TMC)
IEEE Transactions on Computing (TC)
IEEE Transactions on Cognitive Communications and Networking (TCCN)
IEEE Transactions on Consumer Electronics (TCE)
ACM Transactions on Computer Systems (TOCS)

Teaching Experience

2022 - 2024: Computer Programming (CS2310), CityU - Teaching Assistant
2023: Fundamentals of Internet Application Development (CS2204), CityU - Teaching Assistant

Last updated Oct 2026.