Pei-Sze Tan
Scholar

Pei-Sze Tan

Google Scholar ID: WCY6OHIAAAAJ
Monash University
Affective ComputingCausalityFairness
Citations & Impact
All-time
Citations
11
 
H-index
2
 
i10-index
0
 
Publications
7
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - TENCON 2025: "Res-SH: Unbiased Residual Learning for Self-Healing Interface Toughness Prediction with Limited Data"
  • - Ubicomp 2025: "Real-Time Drone Surveillance for Smart Playground Supervision"
  • - ICASSP 2025: "Post-Hoc Adversarial Stickers Against Micro-Expression Leakage"
  • - ICASSP 2024: "Causally Uncovering Bias in Video Micro-expression Recognition"
  • - APSIPA ASC 2023: "Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting"
  • - ISBI 2025: "CONNECTOME-GTC: A Unified Framework for Brain Functional and Structural Connectomes Generation, Translation, and Classification"
  • - Book Chapter: "AI for healthcare: Revolutionizing public wellness in smart cities"
  • - Conference Reviewer: ACM Multimedia (ACM MM) 2024, International Conference on Telecommunication Technologies (ICTT) 2024, International Symposium on Biomedical Imaging (ISBI) 2024, British Machine Vision Conference (BMVC) 2025, Asian Conference on Machine Learning (ACML) 2025
Research Experience
  • - PhD student at Monash University, focusing on computer vision and ethics AI
  • - Lab visit at Sugano Lab, UTokyo, funded by Monash PhD Global Mobility Scheme
  • - Invited to present publications on fairness and causality in micro-expression machine learning models at CSIG Micro-Expression Workshop, Institute of Psychology, Chinese Academy of Sciences (Remote)
  • - Invited to present ICASSP 2025 paper at CSIG Micro-Expression Workshop, Institute of Psychology, Chinese Academy of Sciences (Remote)
Education
  • - PhD Student, Monash University Malaysia
  • - Supervisors: Professor Raphael Phan, Dr Sailaja Rajanala, and Dr Ong Huey Fang
  • - Degree: Bachelor’s degree in Communication Engineering from Xidian University in 2022
  • - Internships: Interned at Huawei and Nokia during undergraduate period
Background
  • - Research Interests: Computer Vision (Affective computing, Counterfactual Explanation Generation), Ethics AI (Fairness, Causal Inference)
  • - Background: Born and raised in Malaysia. Grew up in Klang (aka Bak Kut Teh land). IC says Banting—no complaints, both got good vibes.
Miscellany
  • - Personal Interests: Not specifically mentioned