Running Zhao

Postdoctoral Scholar, The University of Chicago (UChicago)
Email / Google Scholar / GitHub / LinkedIn

I am a postdoctoral scholar at the University of Chicago, working with Prof. Guihong Wan. I received my PhD degree from the Department of Electrical and Computer Engineering at The University of Hong Kong, advised by Prof. Edith C.H. Ngai. Previously, I was fortunate to work with Dr. Xun Qian from Google and Prof. Hang Zhao from IIIS, Tsinghua University.

My research interests include human-AI interaction, AI for healthcare, and multimodal learning, with a particular emphasis on using different modalities to enhance human experience and enable personalized health analysis.

Publications

  • Selected
  • All
Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
Weijie Liu, Running Zhao, Wenhao Yuan, Jinfeng Xu, Zhanfeng Xu, Xiaoxi Zhang, and Edith C.H. Ngai
EMNLP 2026 Main
arXiv / Code
MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
Handi Chen, Running Zhao, Xiuzhe Wu, Zhanfeng Xu, and Edith C.H. Ngai
EMNLP 2026 Findings
arXiv
NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
Running Zhao, Zhihan Jiang, Xinchen Zhang, Chirui Chang, Handi Chen, Weipeng Deng, Luyao Jin, Xiaojuan Qi, Xun Qian, and Edith C.H. Ngai
ACM Symposium on User Interface Software and Technology (UIST 2025)
Website / arXiv / Paper
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Zhihan Jiang, Running Zhao, Lin Lin, Yue Yu, Handi Chen, Xinchen Zhang, Xuhai “Orson” Xu, Yifang Wang, Xiaojuan Ma, and Edith C.H. Ngai
ACM Transactions on Computing for Healthcare (ACM HEALTH)
Paper / arXiv / Media Coverage
USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis
JiangTao Yu, Running Zhao, Sijie Ji, Edith C.H. Ngai, and Chenshu Wu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2025)
Website / arXiv / Paper / Code / Media Coverage
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, and Edith C.H. Ngai
International Conference on Learning Representations (ICLR 2024)
arXiv / Code
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Hang Zhao, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
arXiv / Paper / Media Coverage / Media Coverage
SPACE: Speaker Adaptation for Acoustic Eavesdropping using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Tingle Li, Zhihan Jiang, Chenwei Zhang, Chenshu Wu, Hang Zhao, and Edith C.H. Ngai
IEEE Transactions on Mobile Computing
Paper
Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals
Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, and Edith C.H. Ngai
INTERSPEECH 2022
Website / arXiv / Paper / Code

2026

Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
Weijie Liu, Running Zhao, Wenhao Yuan, Jinfeng Xu, Zhanfeng Xu, Xiaoxi Zhang, and Edith C.H. Ngai
EMNLP 2026 Main
arXiv / Code
MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
Handi Chen, Running Zhao, Xiuzhe Wu, Zhanfeng Xu, and Edith C.H. Ngai
EMNLP 2026 Findings
arXiv
SGERA: Stein-Guided ECG-Report Alignment for ECG Representation Learning
Jian Chen, Yipeng Du, Wenhao Yuan, Shuai Wang, Jinfeng Xu, Zewei Liu, Running Zhao, and Edith C.H. Ngai
International Conference on Machine Learning (ICML 2026)
Paper / Code
DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant
Zhihan Jiang, Running Zhao, Lin Lin, Yue Yu, Handi Chen, Xinchen Zhang, Xuhai “Orson” Xu, Yifang Wang, Xiaojuan Ma, and Edith C.H. Ngai
ACM Transactions on Computing for Healthcare (ACM HEALTH)
arXiv / Paper / Media Coverage

2025

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
Running Zhao, Zhihan Jiang, Xinchen Zhang, Chirui Chang, Handi Chen, Weipeng Deng, Luyao Jin, Xiaojuan Qi, Xun Qian, and Edith C.H. Ngai
ACM Symposium on User Interface Software and Technology (UIST 2025)
Website / arXiv / Paper
USpeech: Ultrasound-Enhanced Speech with Minimal Human Effort via Cross-Modal Synthesis
JiangTao Yu, Running Zhao, Sijie Ji, Edith C.H. Ngai, and Chenshu Wu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2025)
Website / arXiv / Paper / Code / Media Coverage
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Handi Chen, Yulong Ding, Edith C.H. Ngai, and Shuang-Hua Yang
IEEE International Conference on Computer Communications (IEEE INFOCOM 2025)
arXiv / Paper / Code
SPACE: Speaker Adaptation for Acoustic Eavesdropping using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Tingle Li, Zhihan Jiang, Chenwei Zhang, Chenshu Wu, Hang Zhao, and Edith C.H. Ngai
IEEE Transactions on Mobile Computing
Paper

2024

Explainable framework to detect Parkinson's disease related depression from EEG
Luyao Jin, Running Zhao, Junyi Cao, Vincent C. K. Cheung, and Wei-Hsin Liao
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2024)
Paper
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, and Edith C.H. Ngai
International Conference on Learning Representations (ICLR 2024)
arXiv / Code
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
Xinchen Zhang, Running Zhao, Zhihan Jiang, Zhicong Sun, Yulong Ding, Edith C.H. Ngai, and Shuang-Hua Yang
IEEE International Conference on Computer Communications (IEEE INFOCOM 2024)
arXiv / Paper / Code

2023

Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Running Zhao, Jiangtao Yu, Hang Zhao, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
arXiv / Paper / Media Coverage / Media Coverage
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
Zhihan Jiang, Handi Chen, Rui Zhou, Jing Deng, Xinchen Zhang, Running Zhao, Cong Xie, Yifang Wang, and Edith C.H. Ngai
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023)
arXiv / Paper / Demo
Human Activity Recognition From Motion and Acoustic Sensors Using Contrastive Learning
Rui Zhou, Running Zhao, and Edith C.H. Ngai
IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023)
Paper
A Data-Driven Context-Aware Health Inference System for Children during School Closures
Zhihan Jiang, Lin Lin, Xinchen Zhang, Jianduo Luan, Running Zhao, Longbiao Chen, James Lam, Ka-Man Yip, Hung-Kwan So, Wilfred HS Wong, Patrick Ip, and Edith C.H. Ngai
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2023)
Paper

2022

Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals
Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, and Edith C.H. Ngai
INTERSPEECH 2022
Website / arXiv / Paper / Code

2021

An End-to-End Network for Continuous Human Motion Recognition via Radar Radios
Running Zhao, Xiaolin Ma, Xinhua Liu, and Jian Liu
IEEE Sensors Journal, vol. 21, no. 5, pp. 6487-6496, Mar. 2021
Paper
Continuous Human Motion Recognition Using Micro-Doppler Signatures in the Scenario with Micro Motion Interference
Running Zhao, Xiaolin Ma, Xinhua Liu, and Fangmin Li
IEEE Sensors Journal, vol. 21, no. 4, pp. 5022-5034, Feb. 2021
Paper

Research Experience

  • University of Pennsylvania
    Philadelphia, PA, USA
    Visiting PhD Student, Working with Prof. Mingmin Zhao
    Apr. 2025 - Aug. 2025
  • IIIS, Tsinghua University & Shanghai Qi Zhi Institute
    Beijing & Shanghai
    Research Intern, Working with Prof. Hang Zhao
    Apr. 2022 - Sep. 2022
  • Shanghai Qi Zhi Institute
    Shanghai
    Research Intern, Working with Prof. Hang Zhao
    Jun. 2021 - Aug. 2021

    • Service

    Program Committee Member & Invited Reviewer:
  • AAAI 2027, EMNLP 2026, ACM IMWUT/UbiComp (2023,2024,2025,2026), ACM UIST (2024,2025,2026), ACM CHI (2025,2026), ACM IUI (2026,2027), ACM HRI 2025, IWQoS 2024
  • IEEE Transactions on Mobile Computing, IEEE Transactions on Industrial Informatics, IEEE Signal Processing Letters, IEEE Sensors Journal

    • Contact

    I'm open to discussion or collaboration. Feel free to drop me an email (rnzhao [AT] uchicago.edu) if you're interested in my research areas.
    © Thanks to Nicklas Hansen for the website template.