Hanxiang He

I am currently seeking postdoctoral research opportunities. 🔍

Hanxiang He

Hanxiang He, Ph.D.

I received my Ph.D. in Information and Communication Engineering from the School of Information and Electronics at Beijing Institute of Technology (BIT) in Sep. 2026, under the supervision of Prof. Xintao Huan, Prof. Han Hu, and Prof. Jianping An. During my doctoral studies, I was a visiting Ph.D. student in the School of Computer Science and Engineering at the University of New South Wales (UNSW Sydney) from Jul. 2025 to Aug. 2026, supervised by Prof. Wen Hu and Prof. Chun Tung Chou.

My research focuses on AI-enabled wireless sensing, and I am exploring wireless-assisted robotic perception. I have published 4 first-author papers in top-tier journals and conferences, with 1 additional first-author manuscript under review. I also contributed to research published in Nature Machine Intelligence. I received a Best Paper Award at IEEE GLOBECOM 2023. I was selected for the inaugural cohort of the Young Elite Scientists Sponsorship Program for Doctoral Students of the China Association for Science and Technology (CAST). I was also selected for the International Cooperation and Training Program for Innovative Talents of the China Scholarship Council (CSC). I serve as a reviewer for IEEE TMC, IEEE CSM, IEEE SJ, ACM IMWUT, and ACM TOSN.

Research Interests

Wireless-Assisted Robotics

  • Multimodal Robotic Perception: Combining wireless and visual information to infer object geometry and spatial relationships under occlusion.
  • Wireless-Assisted Robotic Manipulation: Using wireless feedback to guide object search, obstacle removal, and grasping.

AI-Enabled Wireless Sensing

  • Wireless Foundation Model: Pretraining a single general-purpose model that can be adapted to diverse wireless sensing and communication tasks.
  • LLM-Enabled Wireless Sensing: Integrating large language models (LLMs) with wireless sensing for signal-grounded activity understanding and reasoning.
  • Robust Wireless Sensing: Developing sensing methods that generalize across environments and individuals.

Explore my detailed research works, full publication list, and Google Scholar profile.

Wireless sensing research overview: signal acquisition and generation, signal denoising and sensing feature enhancement, and task-specific or general-purpose multitask models for motion tracking, person identification, human activity recognition, and vital sign monitoring.
Overview of the Wireless Sensing Pipeline

Selected News & Milestones

  • [ 2026-09 ]Our paper, “Large-scale iontronic skins with neural-hierarchical processing architecture,” has been accepted for publication in Nature Machine Intelligence.
  • [ 2026-09 ]I successfully defended my Ph.D. dissertation with an “Excellent” rating.
  • [ 2026-05 ]Our demo paper, “LightFARM: Energy-Efficient Indoor Farming via Battery-Free Sensing and Predictive Lighting Control,” received the Best Demo Runner-Up Award at ACM/IEEE SenSys 2026.
  • [ 2025-12 ]I was awarded the National Scholarship for Doctoral Students.
  • [ 2025-07 ]I began a one-year research visit at the University of New South Wales (UNSW Sydney) as a visiting Ph.D. student.
  • [ 2023-12 ]My first-author paper, “AI Generated Signal for Wireless Sensing,” received a Best Paper Award at IEEE GLOBECOM 2023.

Selected Publications

  1. IEEE TWC
    siggen-framework.png
    SigGen: Signal Generation for Wireless Sensing Based on Disentangled Representation
    Hanxiang He, Xintao Huan, Yong Luo, Rongfei Fan, Jie Xu, and Han Hu
    IEEE Transactions on Wireless Communications, vol. 25, pp. 2061–2074, 2026
    IF (2025): 10.3.
    DOI Bib
  2. IEEE IoTJ
    senseplus-framework.png
    Sense+: A Plug-and-Play Signal Preprocessing Approach for Enhancing Human-Centered Wireless Sensing
    Hanxiang He, Xintao Huan, Heng Liu, Zhibin Li, Ziyu Li, Han Hu, and Jianping An
    IEEE Internet of Things Journal, vol. 12, no. 19, pp. 40531–40544, Oct. 2025
    IF (2025): 8.7.
    DOI Bib
  3. IEEE TMC
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    P3ID: A Privacy-Preserving Person Identification Framework Towards Multi-Environments Based on Transfer Learning
    Hanxiang He, Xintao Huan, Jing Wang, Yong Luo, Han Hu, and Jianping An
    IEEE Transactions on Mobile Computing, vol. 24, no. 1, pp. 102–116, Jan. 2025
    IF (2025): 8.8.
    DOI Bib
  4. IEEE GLOBECOM
    aigs-framework.png
    AI Generated Signal for Wireless Sensing
    Hanxiang He, Han Hu, Xintao Huan, Heng Liu, Jianping An, and Shiwen Mao
    In IEEE Global Communications Conference (GLOBECOM), pp. 6097–6102, Dec. 2023
    Best Paper Award DOI Bib

Honors & Awards

  • [ 2026 ]Outstanding Graduate of Beijing.
  • [ 2026 ]Second Prize, Science and Technology Progress Award, Chinese Institute of Command and Control (CICC).
  • [ 2025 ]National Scholarship for Doctoral Students.
  • [ 2024 ]Young Elite Scientists Sponsorship Program for Doctoral Students, China Association for Science and Technology (CAST).
  • [ 2024 ]International Cooperation and Training Program for Innovative Talents, China Scholarship Council (CSC).
  • [ 2024 ]Future Network Leading Innovation Achievement Award, China Institute of Communications (CIC).
  • [ 2023 ]Best Paper Award, IEEE Global Communications Conference (GLOBECOM).

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