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I am currently a researcher at Theory Lab, Huawei Hong Kong Research Center, working on LLM inference acceleration on Ascend NPU. Previously, I earned my Ph.D. degree in the Department of Computing at the Hong Kong Polytechnic University, under the supervising of Dr. Lei Yang. I received my B.E. degree from Nanjing University. My primary research interests focus on AI infrastructures and applications, mobile computing, wireless communication, intelligent sensing, and AI-driven wireless technologies, including indoor localization and wireless channel prediction.

Email: xiaopeng.zhao@connect.polyu.hk

Github / Scholar / CV

Work Experience

  • Researcher, Theory Lab, Huawei Hong Kong Research Center 2025 - Present
    • Omni-Infer: High-performance LLM inference architecture enhancement based on vLLM and SGLang. Developed core optimizations such as Speculative Decoding, Multistep/Async Scheduling, and NPU Graph Execution Mode. (Technical Report)

Awards and Honors

  • PhD Thesis Outstanding Award, Department of Computing, PolyU 2025
  • PhD Thesis Merit Award, PolyU 2025
  • Best Paper Award Runner-Up (1/93), ACM MobiCom 2023
  • Demo Best Graduate Award, ACM MobiCom 2023
  • Best Paper Award (1/43), IEEE SECON 2023
  • People Scholarship, Nanjing University 2018 - 2019

Publications

Regular Papers

  1. TMC’25 WiT: Wireless Tracking With Dual-Modality Transformers
    Xiaopeng Zhao, Guosheng Wang, and Lei Yang
    IEEE Transactions on Mobile Computing, 2025
  2. TMC’25 Frequency-Aware Neural Radio-Frequency Radiance Fields
    Xiaopeng Zhao, Zhenlin An, Qingrui Pan, and Lei Yang
    IEEE Transactions on Mobile Computing, 2025
  3. INFOCOM’25 Commercial RFIDs as Reconfigurable Intelligent Surfaces
    Jingyu Tong, Xiaopeng Zhao, Zhicheng Wang, Donghui Dai, and Lei Yang
    In Proc. of IEEE INFOCOM, 2025
  4. MobiCom’24 Mirror Never Lies: Unveiling Reflective Privacy Risks in Glass-laden Short Videos
    Shen Wang, Xiaopeng Zhao, Donghui Dai, and Lei Yang
    In Proc. of ACM MobiCom, 2024
    [ Paper]
  5. MobiHoc’24 In-Sensor Machine Learning: Radio Frequency Neural Networks for Wireless Sensing
    Jingyu Tong, Zhenlin An, Xiaopeng Zhao, Sicong Liao, and Lei Yang
    In Proc. of ACM MobiHoc, 2024
  6. IMWUT’24 Crowdsourced Geospatial Intelligence: Constructing 3D Urban Maps with Satellitic Radiance Fields
    Xiaopeng Zhao, Shen Wang, Zhenlin An, and Lei Yang
    In Proc. of ACM IMWUT / UbiComp, 2024
    [ Paper] [ Slide]
  7. MobiSys’24 Understanding Localization by a Tailored GPT
    Xiaopeng Zhao, Guosheng Wang, Zhenlin An, Qingrui Pan, and Lei Yang
    In Proc. of ACM MobiSys, 2024
    [ Paper] [ Slide]
  8. IoTJ’23 Pushing the Boundaries of High-Precision AoA Estimation with Enhanced Phase Estimation Protocol
    Xiaopeng Zhao, Guosheng Wang, Zhenlin An, Qingrui Pan, Qiongzheng Lin, and Lei Yang
    IEEE Internet of Things Journal, 2024
    [ Paper]
  9. MobiCom’23 NeRF2: Neural Radio-Frequency Radiance Fields
    Xiaopeng Zhao, Zhenlin An, Qingrui Pan, and Lei Yang
    In Proc. of ACM MobiCom, 2023 (Best Paper Award Runner-up)
    [ Paper] [ Code] [ Slide]
  10. SECON’23 Revisiting Backscatter Frequency Drifts for Fingerprinting RFIDs: A Perspective of Frequency Resolution
    Qingrui Pan, Zhenlin An, Xiaopeng Zhao, and Lei Yang
    In Proc. of IEEE SECON, 2023 (Best Paper Award)
  11. MobiCom’22 RF-DNA: Large-Scale Physical-layer Identifications of RFIDs via Dual Natural Attributes
    Qingrui Pan, Zhenlin An, Xueyuan Yang, Xiaopeng Zhao, and Lei Yang
    In Proc. of ACM MobiCom, 2022
  12. MobiCom’21 One tag, two codes: Identifying optical barcodes with NFC
    Zhenlin An, Qiongzheng Lin, Xiaopeng Zhao, Lei Yang, Dongliang Zheng, Guiqing Wu, and Shan Chang
    In Proc. of ACM MobiCom, 2021

Others

  1. GetMobile Understanding Wireless Channels through NeRF2
    Xiaopeng Zhao, Zhenlin An, Qingrui Pan, and Lei Yang
    ACM GetMobile, 2024
  2. MobiCom’23 Demo: Radio Frequency Neural Networks for Wireless Sensing
    Jingyu Tong, Zhenlin An, Xiaopeng Zhao, Sicong Liao, and Lei Yang
    In Proc. of ACM MobiCom Demo, 2023 (Best Graduate Award)

Services

  • Reviewer: IEEE ICC'26, IEEE ICASSP'26, Area chair of IEEE ICME'26, ACM IMWUT'24, IEEE TMC, IEEE TMLCN, IEEE TCOM, IEEE WCL, IEEE RFID, Elsevier Computer Networks

Teaching

  • Operating System, COMP 2432, Teaching Assistant. (Lecturer: Dr. Aquil Mirza Mohammed.) 2024
  • Information Technology, ENG 2003, Teaching Assistant. (Lecturer: Dr. Lei Yang.) 2022 - 2023
  • Web Application Design, COMP 3421, Teaching Assistant. (Lecturer: Dr. Lei Yang.) 2021
  • Computer Programming, ENG 2002, Teaching Assistant. (Lecturer: Dr. Dennis Liu.) 2020