Students

PhD Supervising
Le Fang
Le Fang
University of Melbourne (2024-)
Co-supervising with Prof. Jorge Goncalves and Prof. Vassilis Kostakos
Mobile Phone Over Usage Detection via On-Device LLMs
ACM UbiComp 24'
Shiquan Zhang
Shiquan Zhang
University of Melbourne (2024-)
Co-supervising with Dr. Simon D'Alfonso and Prof. Vassilis Kostakos
On-Device Foundation Models for Personalized Sensing
ACM UbiComp 24'
PhD Mentoring
  • Tianyi (Tina) Zhang (University of Melbourne (2024-)) — Digital Phenotyping for Mental Health and Well-Being Using LLMs Best Paper Presentation Award @ ACM EIFCom 24' Best Poster Award @ CIS Doctoral Colloquium 24'
    ACM UbiComp Adjunct 24' ACM MobiCom 24' Adjunct
  • Yu (Yvonne) Wu (University of Cambridge (2022-)) — Weakly-Supervised Methods in Time Series Forecasting DeepMind Travel Award @ MLHC 24'
    IEEE CIKM 24' MLHC 24' NeurIPS Adjunct 23'
  • Jiawei Hu (UNSW (2021-)) — Toward AI-Powered Adaptive Visible Light Positioning Best Paper Runner-up Award @ ACM IPSN 24' Best Poster Award @ ACM MobiCom 22' Best PhD Forum Presentation Award @ ACM SenSys 24'
    ACM UbiComp 23' ACM IPSN 23' ACM MobiCom 22'
  • Yanxiang Wang (UNSW (2021-)) — AI-Powered Passive Visible Light Positioning ACM UbiComp 23' ACM IPSN 23' ACM MobiCom 22'
  • Mark Cardamis (UNSW (2023-)) — Smart Agriculture Using mmWave Sensing and Artificial Intelligence IEEE Internet of Things Journal 24'
  • Kirtan Bhatt (UNSW (2025-)) — Differential Privacy for IoT Sensing via LLMs
MPhil Supervising
  • Puneet Pal Singh (University of Melbourne (2025-), principal supervising) — Test-time Scaling for Small-scale LLMs
  • Xin Wang (University of Melbourne (2024-), principal supervising) — Personalized Healthcare Monitoring via Mobile LLMs ACM MobiCom 24' Adjunct
  • Shiya Fu (University of Melbourne (2024-), principal supervising) — Personalized Mental Health Monitoring via Mobile LLMs
  • Hanwen Jiang (University of Melbourne (2024-), principal supervising) — Efficient and Robust Tiny VLMs
Visiting Students
  • Letian Cheng (University of Melbourne (2025-)) — Quantize SLMs for Edge Deployment
Alumni
  • Cynthia Dong (Mphil, University of Cambridge, co-supervised with Prof. Cecilia Mascolo) — Efficient and Robust Test-time adaptation High Distinction Thesis @ University of Cambridge
  • Andy Wang (MSc, University of Melbourne, principal supervising) — On-Device Test-time Adaptation Using VLMs High Distinction Thesis @ University of Melbourne
  • Zhongru Yang (Mphil, SZU) — Facial authentication via RFID sensing ACM UbiComp 23' High Distinction Thesis @ Shenzhen University
  • Zhuoran Wei (MSc, University of Melbourne, co-supervising with Dr. Andrew Irlitti) — Gesture-based locomotion techniques in virtual reality High Distinction Thesis @ University of Melbourne