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 journey is fueled by a profound interest in realms, including Human-Computer Interaction (HCI), Artificial Intelligence (AI), Data Mining, and the Internet of Things (IoT) for Healthcare. I am invigorated by the prospect of collaborating with fellow researchers who share a fervor for pushing the boundaries of advanced technologies to serve practical applications.
Le Fang
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: WANG Stephen Jia, FANG Le, XING Pangrui. Psychological Stress Level Detection Method, Apparatus and System, Chinese Patent Number 202310482975.1, granted on June 14, 2023.
- Patent 2: WANG Stephen Jia, FANG Le, XING Pangrui. Psychological Stress Level Detection Method, Apparatus And System, HK30085572, granted on August 04, 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
Publications:
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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