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:
- Wenxiang Diao, Project title: Ultra‑Fine‑Grained Visual Categorization, Master’s Student@UNSW Sydney, 2025/05/26 – present
- On-site Research Assistants:
- Zixuan Liu, Project title: Video Genes, Bachelor Student@QUT, 2025/05/12 – present
- Xi Ding, Project title: When Features Reflect Predictions, Master’s Student@ANU, 2025/03/17 – present
- On-site PhD candidates:
- Edwin Kwadwo Tenagyei, TIME Lab internal research project, Doctoral candidate@Griffith&ARC Hub, 2025/05/30 – present
- Remote Research Trainee (prospective MPhil student):
- Syuan-Hao Li, ARC Research Hub internal research project (co-supervised with Prof. Yongsheng Gao), Bachelor Student@National Taitung University, 2025/06/05 – present
- Remote Visiting Scholar (non-research service):
- Arjun Raj, Non-research service, Bachelor of Advanced Computing (R&D) (Honours)@ANU, 2025/03/19 – 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.
- Former master’s and honours students (primary supervision, TIME@ARC Hub&Griffith):
- Xi Ding (2 x WWW Companion '25, 1 x arXiv preprint), Project title: Do Language Models Understand Time?, Master’s Student@ANU, 2024/11/13 – 2025/03/17
- Gennie Nguyen (2 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
- 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 arXiv preprint), 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
- 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
- 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
- 22 July 2024 - 25 Oct 2024: TechLauncher Examiner
- School of Computing, The Australian National University (ANU)
- ANU TechLauncher, co-taught courses: COMP3500 - Software Engineering Project, COMP4500 - Software Engineering Practice, COMP8715 - Computing Project
- Course Convener: A/Prof. Charles Gretton & A/Prof. Liang Zheng
- My Student Experience of Learning and Teaching (SELT) teacher survey results: $4.11\pm0.80$ (on a 5-point scale, 413 enrollments)
- Duties:
- Assess submissions from students, provide feedback, and contribute to determining final grades based on specified criteria and standards
- Participate in quality control processes, ensuring consistency across evaluations, investigating deviations in assessments, and considering inputs from various sources to ensure fairness
- Uphold ANU policies on academic integrity, plagiarism, late submissions, and appeals, ensuring that evaluations are conducted in accordance with established academic standards and guidelines
- 19 Feb 2024 - 24 May 2024: TechLauncher Examiner
- School of Computing, The Australian National University (ANU)
- ANU TechLauncher, co-taught courses: COMP3500 - Software Engineering Project, COMP4500 - Software Engineering Practice, COMP8715 - Computing Project
- Course Convener: A/Prof. Charles Gretton & A/Prof. Liang Zheng
- My Student Experience of Learning and Teaching (SELT) teacher survey results: $4.60\pm0.80$ (on a 5-point scale, 313 enrollments)
- 26 Feb 2018 - 1 June 2018: Teaching Assistant
- Department of Computer Science and Software Engineering (CSSE), The University of Western Australia (UWA)
- CITS5508 Machine Learning
- Unit Coordinator(s): Assoc. Prof. Du Huynh & Prof. Mark Reynolds
- Job Duties:
- Set assignment questions
- Supervise laboratory classes
- Help with assignment marking