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Qianhe Meng

Ph.D. Candidate
University of Electronic Science and Technology of China
qianhe (at) std.uestc.edu.cn


Hello there, thanks for your visit :)

About Me

I am currently a 6th year Ph.D. candidate in CS at University of Electronic Science and Technology of China (UESTC), under the supervision of Prof. Li Lu. Back in 2020, I received my B.E. degrees in EE from both UESTC and University of Glasgow.

Research Interests

I am self-motivated to work in the following research fields, contributing technical insight and system-level solutions.

Honors & Awards

Services

Publications

    Conference Papers

  1. [SenSys'26] uMan: Towards Device-agnostic Power Management for Battery-free IoT
    Chong Zhang, Han Wang, Qianhe Meng, Yize Zhao, Shengyu Li, Songfan Li, Zetao Gao, Li Lu and Hongzi Zhu
    ACM/IEEE 2026 International Conference on Embedded Artificial Intelligence and Sensing Systems
    Core A*

  2. [MobiSys'25] LEGO+: Redefining the Redundancy Removal for IoT Sensing Edge-End Systems
    Chong Zhang, Han Wang, Qianhe Meng, Yize Zhao, Yihang Song, Kanglin Xu, Jinzhe Li and Li Lu
    The 23rd ACM International Conference on Mobile Systems, Applications, and Services
    Core A*

  3. [ICC'25] Cupid: Empowering Reliable Collaboration for Intermittent Computing Nodes
    Yize Zhao, Chong Zhang, Zetao Gao, Han Wang, Qianhe Meng and Li Lu
    2025 IEEE International Conference on Communications
    Core B

  4. [SenSys'24] Processor-Sharing Internet of Things Architecture for Large-Scale Deployment
    Qianhe Meng, Han Wang, Chong Zhang, Yihang Song, Songfan Li, Li Lu, and Hongzi Zhu
    The 22nd ACM Conference on Embedded Networked Sensor Systems
    [Slides] Core A* (Best Paper Award)

  5. [MobiCom'24] Sisyphus: Redefining Low Power for LoRa Receiver
    Han Wang, Yihang Song, Qianhe Meng, Zetao Gao, Chong Zhang, and Li Lu
    The 30th ACM International Conference on Mobile Computing and Networking
    [Slides] Core A*

  6. [MobiCom'23] Go Beyond RFID: Rethinking the Design of RFID Sensor Tags for Versatile Applications
    Songfan Li, Qianhe Meng, YanXu Bai, Chong Zhang, Yihang Song, Shengyu Li, and Li Lu
    The 29th ACM International Conference on Mobile Computing and Networking
    Core A*

  7. [ASPLOS'23] LEGO: Empowering Chip-level Functionality Plug-and-play for Next-generation IoT devices
    Chong Zhang, Songfan Li, Yihang Song, Qianhe Meng, Minghua Chen, YanXu Bai, Li Lu, and Hongzi Zhu
    The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
    Core A*

  8. [IJCAI'22] Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
    Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, and Li Lu
    The 31st International Joint Conference on Atificial Intelligence
    Core A*

    Journal Papers

  1. [GetMobile'25] The What's Next IoT Architecture for Large-scale Deployment
    Qianhe Meng, Han Wang, Chong Zhang, Yihang Song, Songfan Li, Li Lu and Hongzi Zhu
    ACM Mobile Computing and Communications Review (GetMobile), 2025
    The Flagship Quarterly Publication of ACM SIGMOBILE (Research Highlight)

  2. [TMC'25] Embedding Chips Over the Air: Rethink IoT Architecture for Ubiquitous Sensing
    Qianhe Meng, Han Wang, Chong Zhang, Yihang Song, Songfan Li, Li Lu and Hongzi Zhu
    IEEE Transactions on Mobile Computing (TMC), 2025
    CiteScore 12.9, h-index 122

  3. [TC'23] A Lightweight and Chip-Level Reconfigurable Architecture for Next-Generation IoT End Devices
    Chong Zhang, Songfan Li, Yihang Song, Qianhe Meng, Li Lu, Hongzi Zhu and Xin Wang
    IEEE Transactions on Computers (TC), 2023
    CiteScore 6.60, h-index 110

  4. [TOSN'22] Chipnet: Enabling Large-Scale Backscatter Network with Processor-Free Devices
    Yihang Song, Chao Song, Li Lu, Shen Yang, Songfan Li, Chong Zhang, Qianhe Meng, Xiandong Shao and Haili Wang
    ACM Transaction on Sensor Networks (TOSN), 2022
    CiteScore 5.90, h-index 54

  5. [TNNLS'22] Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-domain Discrepancies
    Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Heng Tao Shen
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
    CiteScore 23.80, h-index 180