Le Fang
personal homepage and deployments
Hello, I am Le (Leo) Fang, a Ph.D. student specializing in Intelligent System and Interaction Design (School of Design) at The Hong Kong Polytechnic University (PolyU), under the chief supervision of Prof. Stephen Jia Wang and co-supervision of Prof. Ying-Qing Xu, Tsinghua University. My academic journey commenced with the pursuit of an M.Phil. degree in Computer Science from The University of Hong Kong (HKU), under the guidance of Prof. Chuan Wu. Prior to that, I received my B.Eng. in Information Engineering from Zhejiang University (ZJU) in 2019, supervised by Prof. Kejie Huang. My research explores the intersection of Multimodal Interaction Design, Human-Computer Interaction (HCI), AI, and Data Mining, with a focus on creating practical healthcare solutions through technologies like IoT. I am passionate about collaborating with others to push the boundaries of research and transform advanced technology into tangible, real-world impact.
mailto:lefang@connect.hku.hk
📢 Latest News
- [Dec 2025] One full paper (co-authored) accepted at at IASDR 2025, to be published in Proceedings of IASDR 2025.
- [Oct 2025] One full paper (co-authored) accepted at CSCW 2025, published in Proceedings of the ACM on Human-Computer Interaction DOI
- [April 2025]
- One full paper (co-authored) accepted at CHI 2025, DOI
- One late-breaking work accepted at CHI 2025, DOI
- [April 2025] Invited to showcase “EmoFriends” (member) at the International Exhibition of Inventions Geneva (awarded Silver Medal)
Research Topics:
- AI, Data Science in Healthcare
- HCI in Affective Computing
- IoT in Smart Home
Projects:
- HCI in Affective Computing (Ongoing 
)
Widespread emotional experiences are ubiquitous in our lives. Our research delves into the intricate realm of human factors in emotion detection, presenting an empirical investigation that employs diverse interactive techniques. We harness cutting-edge AI methodologies and sensor systems to advance the understanding of the affective computing field.
Advanced Science News: Scientists test the link between tiny subconscious gestures and stress
- Patent 1: Stephen Jia Wang, Le Fang, Zhengtao Ma, Kun-Pyo Lee. Emotional interaction components, methods, devices, robots, media, and program products, CN120874890A, Oct. 31, 2025.
- Patent 2: Stephen Jia Wang, Le Fang, Pangrui Xing. Psychological Stress Level Detection Method, Apparatus And System, WO2024222418A1 (Oct. 31, 2024), CN116343998A (Jun. 27, 2023), HK30085572 (Apr. 28, 2023).
- Elderly Gait-Balance Monitoring System
- Exercise Video Recommendation for Parkinson’s Disease (PD) Patients
“PDex” is an exercise recommendation app designed for Parkinson’s disease (PD) patients, which focuses on exercise recovery research for PD patients. Now we provide both iOS and Android versions. Detailed are included in the Test Guideline.
- A Nonintrusive Elderly Home Monitoring System
- Raw Food Recognition and Nutrition Analysis
First-author Publications:
Le Fang, Bo Chai, Yingqing Xu, Stephen Jia Wang. KANFeel: A Novel Kolmogorov-Arnold Network-Based Multimodal Emotion Recognition Framework, in Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA’25), Yokohama, Japan, April 26–May 5, 2025. DOI Access
Le Fang, Xia Wang, Cong Fang, Jiajuan Li, Stephen Jia Wang, Advanced Technologies in Creative Architectural Design: A Systematic Review, Advanced Intelligent Discovery, vol. 1, no. 1, 2025. DOI Access
Le Fang, Sark Pangrui Xing, Zhengtao Ma, Zhijie Zhang, Yonghao Long, Kun-Pyo Lee, Stephen Jia Wang, Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures, International Journal of Human–Computer Interaction, 23 Jul. 2023. DOI Access
Le Fang, Sark Pangrui Xing, Yonghao Long, Kun-Pyo Lee, Stephen Jia Wang, EmoSense: Revealing True Emotions Through Micro-Gestures, Wiley Advanced Intelligent Systems Journal, 2300050, 29 Jun. 2023. DOI Access
Le Fang, Chuan Wu, HES: Edge Sampling for Heterogeneous Graphs, IEEE/INNS International Joint Conference on Neural Networks (IJCNN 2023), Queensland, Australia, 18-23 Jun. 2023. DOI Access
Le Fang, Bingqian Du, Chuan Wu, Differentially Private Recommender System with Variational Autoencoders, Elsevier Knowledge-Based Systems Journal, Volume 250, 109044, 17 Aug. 2022. DOI Access
Le Fang, Yu Wu, Chuan Wu, Yizhou Yu, A Nonintrusive Elderly Home Monitoring System, IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2603-2614,15 Feb. 2021. DOI Access
M.Phil Thesis: Privacy-preserving recommender system with VAEs : Optimization, Privacy, and Application
Teaching Duties:
I have served as a teaching assistant (TA) in courses below:
The University of Hong Kong (2019-2021)
Autumn 2020 - Spring 2021: COMP3234 Computer and communication networks
I helped students to solve some networking questions from assignments and projects. Furthermore, I joined the assignment/project grading work.
Autumn 2019 - Spring 2019: COMP1117 Computer programming (Python)
I served as a tutor and helped students to solve some programming problems during their studies. Besides, I joined the grading work for the mid-term test.
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