Lei Wang

Lei Wang

Research Fellow at Griffith University, Visiting Scientist at Data61/CSIRO

Supervision

Please visit my TIME Lab team page for more details.

Ongoing Supervision

I am currently a registered Higher Degree by Research (HDR) supervisor at Griffith University, holding transitional status.

As part of my role at Griffith University, specifically through the TIME@ARC Hub&Griffith, I have begun supervising research assistants, research interns, Master of Philosophy (MPhil) students, and Doctoral (PhD) candidates in both co-principal and principal supervision capacities.

  • On-site Research Interns:
    • Syuan-Hao Li, ARC Research Hub internal research project (co-supervised with Prof. Yongsheng Gao), Bachelor Student@National Taitung University, 2025/06/05 – present
    • Ankur Singh, TIME Lab internal research project, Bachelor Student@ANU, 2025/10/08 – present
  • On-site PhD candidates:
    • Edwin Kwadwo Tenagyei, TIME Lab internal research project, Doctoral candidate@Griffith&ARC Hub, 2025/05/30 – present
  • Remote PhD candidates:
    • Zhicheng Zhang, TIME Lab internal research project, Doctoral candidate@UNSW Canberra, 2025/10/10 – present
  • Remote Research Trainee:
    • Bikash Kumar Badatya, TIME Lab internal research project, Master’s Student@IIT Gandhinagar, 2025/10/06 – present

Completed Supervision

I have successfully supervised more than ten final-year research students, including master’s, honours, and interns, most of whom have produced arXiv preprints or publications in leading conferences such as ICLR, NeurIPS, and ICML. Their research spans video understanding, temporal modeling, and trustworthy AI. First appointment following supervision noted.

  • Former research assistants (primary supervision, TIME@ARC Hub&Griffith):
    • Wenxiang Diao, Project title: Ultra‑Fine‑Grained Visual Categorization, Master’s Student@UNSW Sydney, 2025/05/26 – 2025/11/25
    • Xi Ding (1 x AAAI'26, 1 x NeurIPS'25, recipient of the NeurIPS 2025 Scholar Award), Project title: When Features Reflect Predictions, Master’s Student@ANU, 2025/03/17 – 2025/11/16, Research Internship at CMU (QS #52 globally)
  • Former master’s and honours students (primary supervision, TIME@ARC Hub&Griffith):
    • Xi Ding (2 x WWW Companion '25 including 1 Best Paper Award, 1 x arXiv preprint), Project title: Do Language Models Understand Time?, Master’s Student@ANU, 2024/11/13 – 2025/03/17
    • Gennie Nguyen (1 x BJIT'25, 1 x arXiv preprint), Thesis title: Physiological Signals for Detecting Belief and Truth in Fake News (co-supervised with Prof. Tom Gedeon from Curtin University), Master of Computing (Advanced), 2024/07/22 – 2025/05/23, PhD candidate at NTU (QS #12 globally and #2 in QS Asia)
    • Yifan Chen, Thesis title: Understanding the behaviors of modern video models through signal perception, Master of Machine Learning and Computer Vision, 2024/07/22 – 2025/05/23
    • Arjun Raj (1 x ICASSP'25), Thesis title: Tracking high-speed and tiny objects in sports, Bachelor of Advanced Computing (R&D) (Honours), 2024/07/22 – 2025/05/23
  • Former master’s students (secondary supervision, TIME@ARC Hub&Griffith):
    • Junliang Ye (1 x BMVC'25), Thesis title: FreqSelect: Frequency-Aware Adaptive Filtering (co-supervised with Dr. Md Zakir Hossain from Curtin University), Master of Computing (Advanced), 2024/07/22 – 2025/05/23
    • Haodong Yang (1 x arXiv preprint), Thesis title: SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization (co-supervised with Dr. Md Zakir Hossain from Curtin University), Master of Machine Learning and Computer Vision, 2024/07/22 – 2025/05/23
    • Meitong Liu, Thesis title: Improving Video‑to‑Audio Generation via Object‑Level Event Detection (co-supervised with Dr. Md Zakir Hossain from Curtin University), Master of Computing (Advanced), 2024/07/22 – 2025/05/23
  • Former master’s, honours, and internship students (primary supervision, TIME@ANU):
    • Dexuan Ding (1 x ICLR'25), Thesis title: LEGO Fusion: Robust Video Anomaly Detection, Bachelor of Advanced Computing (Honours), 2024/02/19 – 2024/10/25, pathway to PhD candidature at Macquarie University (QS #138 globally, #11 in Australia)
    • Qixiang Chen (1 x ACML'24 oral), Thesis title: A Closer Look at Motions, Bachelor of Advanced Computing (Honours), 2024/02/19 – 2024/10/25
    • Huilin Chen (1 x arXiv preprint), Thesis title: When Spatial meets Temporal in Action Recognition, Bachelor of Advanced Computing (Honours), 2024/02/19 – 2024/10/25, PhD candidate at UTS (QS #96 globally, #9 in Australia)
    • Liyun Zhu (1 x NeurIPS'24), Thesis title: Advancing Video Anomaly Detection, Master of Machine Learning and Computer Vision, 2024/02/19 – 2024/10/25
    • Jushang Qiu (1 x WWW Companion '25), Thesis title: A Practical Guide to Skeletons and Taylor-transformed Skeletons in Action Recognition, Master of Machine Learning and Computer Vision, 2024/02/19 - 2024/10/25
    • Liwen Luo, Thesis title: Human Motion Prediction via Spatio-temporal Correspondence Learning, Master of Machine Learning and Computer Vision, 2024/02/19 – 2024/10/25
    • Xiuyuan Yuan (1 x ICML'24), Project title: Video dynamics distillation, Summer Research Internship (ANU Summer Research Scholars Program), Bachelor of Advanced Computing (Honours), 2023/11/20 – 2024/02/02

Teaching