Lei Wang

Lei Wang

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

About Me

[Lei’s CV] [Griffith Researcher] [D61/CSIRO Researcher]

Lei Wang is an ARC Hub Research Fellow (Grade 2) in the School of Engineering and Built Environment — Electrical and Electronic Engineering at Griffith University, working under the guidance of Prof. Yongsheng Gao (Griffith University) and Prof. Piotr Koniusz (Data61/CSIRO & ANU & UNSW). He is also a Visiting Scientist at Data61/CSIRO. He originally founded the Temporal Intelligence and Motion Extraction (TIME) Lab at ANU, leading a dynamic team of master’s and honours students in machine learning and computer vision research. The lab has since transitioned to the ARC Research Hub at Griffith University, where it is now an integral part of the Hub and the broader Griffith research community.

Previously, he was a Research Fellow (Level B) in the School of Computing at the ANU College of Engineering, Computing, and Cybernetics, working with Assoc. Prof. Liang Zheng (ANU) and Prof. Tom Gedeon (Curtin University). He also served as a Visiting Scientist in the Machine Learning Research Group (MLRG) at Data61/CSIRO. During this period, he successfully supervised three master’s and three honours students on their final-year research projects at the TIME Lab, mentoring them in high-quality research. Some of their work was published in top-tier machine learning conferences, such as NeurIPS, ICLR, and ICML.

Since 2018, he has worked as a full-time Computer Vision Researcher at iCetana Pty Ltd in Perth. He has also held Visiting Researcher positions at MLRG, Data61/CSIRO, and the Department of Computer Science and Software Engineering at The University of Western Australia (UWA). In 2021, he joined Active Intelligence Australia Pty Ltd as a Computer Scientist, leading research and development in commercial anomaly detection solutions. His project successfully secured $1.2 million USD in funding, earning him the Incentive Unit Award.

Before pursuing his PhD at ANU and Data61/CSIRO, Lei received several prestigious PhD scholarships, including the ARC Industrial Transformation Training Centre Scholarship, UWA International Fee Scholarship, University Postgraduate Award, Data61 PhD Scholarship, Data61 Top-up Scholarship, and ANU HDR Fee Remission Merit Scholarship. During his PhD, he authored multiple first-author papers published in top-tier venues such as CVPR, ICCV, ECCV, ACM MM, TPAMI, IJCV, and TIP. His research, supervised by Prof. Piotr Koniusz (Data61/CSIRO & ANU & UNSW), earned him the Sang Uk Lee Best Student Paper Award at ACCV 2022.

His research interests include action recognition in videos, anomaly detection, video and image processing, one- and few-shot learning, deep learning, tensor learning, and domain adaptation.

Education

  • Doctor of Philosophy - PhD, Engineering and Computer Science, The Australian National University (ANU), 22 July 2019 - 12 Dec 2023
  • Master of Professional Engineering - MPE, Software Engineering, The University of Western Australia (UWA), 29 Feb 2016 - 16 March 2018

 

Recent News

I personally do not have any news; the most exciting updates are coming from my talented students!

  • 19/03/2025: Welcome Arjun Raj to the ARC Research Hub at Griffith University as an ARC Hub Scholar in TIME Lab!
  • 17/03/2025: Welcome Xi Ding to the ARC Research Hub at Griffith University as an ARC Hub Scholar in TIME Lab!
  • 02/03/2025: My proposed project, “TIME Space,” has been officially included in the 2025 TechLauncher program. Xi Ding and Xiuyuan (Jack) Yuan will serve as the delegated clients at TIME Lab on behalf of Lei Wang.
  • 14/02/2025: TIME Lab has moved to Griffith University and joined the ARC Research Hub, enhancing its industry-focused research and collaboration within the broader Griffith community.
  • 28/01/2025: Three papers (two orals and one poster) have been accepted to the Companion Proceedings of the ACM Web Conference (WWW Companion 2025). Congratulations to Xi Ding and Jushang Qiu.
  • 23/01/2025: The TIME Lab, composed of honors and master’s students, achieved significant milestones under my primary supervision, including three top-tier publications (NeurIPS’24, ICLR’25, ICML’24), an oral presentation at ACML’24 (a respected ML conference in Asia-Pacific), and a paper at ICASSP’25 (a prestigious signal processing venue) from November 20, 2023, to October 25, 2024.
  • 23/01/2025: One paper has been accepted at ICLR 2025. Congratulations to Dexuan Ding.
  • 02/01/2025: I am a Chief Investigator (CI) / Delegated lead CI for the project “MotionNetLite: Video Dynamics Distillation for Scalable Models”, under the National Computational Merit Allocation Scheme (NCMAS 2025).
  • 02/01/2025: I am the Lead Chief Investigator (Lead CI) for the project “Efficient Video Models through Compression and Data Optimization”, under the ANU Merit Allocation Scheme (ANUMAS 2025).
  • 21/12/2024: One paper has been accepted at ICASSP 2025. Congratulations to Arjun Raj.
  • 28/11/2024: Primarily supervised 3 Honours and 3 Master’s students to successfully complete their final-year research projects, resulting in 3 High Distinctions (HD) and 3 Distinctions (D) theses.
  • 26/11/2024: Our workshop, “TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation”, held at The Web Conference (WWW 2025, A*), is now open for paper submissions. More details are available on our TIME 2025 workshop page.
  • 21/11/2024: One workshop proposal entitled “TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation” has been accepted at The Web Conference (WWW 2025, A*) as a half-day workshop. Arjun Raj, Qixiang Chen, Xiuyuan (Jack) Yuan, and Xi Ding have been appointed as TIME 2025 Workshop Coordinators.
  • 13/11/2024: Welcome Xi Ding to TIME Lab as a Research Assistant working on transparent and interpretable AI!
  • 08/11/2024: Congratulations to Qixiang Chen, whose ACML 2024 paper has been selected for a long presentation, with an acceptance rate of just 5.67%.
  • 24/10/2024: Four research students from TIME Lab, Dexuan Ding, Huilin Chen, Qixiang Chen, and Yifan Chen, have been recognized as Outstanding Reviewers, and Lab Lead Dr. Lei Wang has been named an Outstanding Area Chair at ACM Multimedia 2024.
  • 16/10/2024: TIME Lab has officially approved a new logo design created by one of its own members, talented young designer and ANU master’s student, Gennie Nguyen.
  • 26/09/2024: One paper has been accepted at NeurIPS D&B Track (25.3% acceptance rate). Congratulations to Liyun Zhu and Arjun Raj.
  • 19/09/2024: As the ANU TechLauncher community, we are proud to be a finalist in the inaugural Australian AI Awards 2024(award seal), shortlisted for AI Innovator - Information Technology.
  • 05/09/2024: One paper has been accepted at ACML 2024 (26% acceptance rate). Congratulations to Qixiang Chen.
  • 02/09/2024: The TIME Lab website has been officially launched. Thanks to Arjun Raj, Qixiang Chen, and Liyun Zhu for their work on creating and maintaining the site.
  • 16/08/2024: Congratulations to Liyun Zhu on having his research accepted for presentation at ANU’s Student Research Conference (SRC)!
  • 02/08/2024: Welcome Arjun Raj to my research group for the academic research project. Many thanks to Arjun Raj and the research team for establishing the Temporal Intelligence and Motion Extraction (TIME) Lab (a team photo at ANU on Nov 8).
  • 29/07/2024: I am an associate supervisor for three ANU master’s students: Junliang Ye, Haodong Yang, and Meitong Liu, working on multi-modal learning and video language models.
  • 29/07/2024: Welcome Yifan Chen and Gennie Nguyen to my research group for their final year research project.
  • 22/07/2024: My proposed project, “Active Vision,” has been officially included in the 2024 Techlauncher program. Mr. Francis Williams will be the client for this project. Arjun Raj will act as the ‘delegated client’ at ANU on behalf of Lei Wang.
  • 16/07/2024: One paper has been accepted at ACM-MM 2024. Congratulations to Wenshuo Chen, Hongru Xiao, and Erhang Zhang.
  • 12/06/2024: As the ANU TechLauncher community (photo), we are a finalist in the Business & Industry category and an ACT Merit recipient in the Student & Education category for the 2024 iAwards (award certificate).
  • 27/05/2024: The MDPI open-access journal Electronics [Q2, h-index 83] has a special issue on ‘Motion-centric Video Processing’ (Guest Editors: Dr. Lei Wang, Prof. Tom Gedeon, Dr. Zhenyue Qin) now open for submission. The deadline for manuscript submissions is 15 December, 2024. Interested authors are encouraged to contact me for more details.
  • 22/05/2024: As the ANU TechLauncher community, we are a finalist for the 2024 iAwards.
  • 02/05/2024: One paper has been accepted at ICML 2024. Congratulations to my Summer Scholar Xiuyuan (Jack) Yuan!
  • 22/02/2024: My proposed project, “ActiveIntelligence: CAM-FALL (Camera-based Fall Alert System),” has been officially included in the 2024 Techlauncher program. Mr. Francis Williams, representing Active Intelligence Corp., will be the client for this project. Jushang Qiu will act as the ‘delegated client’ at ANU on behalf of Lei Wang.
  • 19/02/2024: I am the primary supervisor for six ANU students: Dexuan Ding, Qixiang Chen, Huilin Chen, Liyun Zhu, Jushang Qiu, and Liwen Luo. I am also supervising Yifan Chen and Arjun Raj on industry research projects.
  • 02/02/2024: Congratulations to Xiuyuan (Jack) Yuan for successfully completing the ‘Video Dynamics Distillation’ project for the ANU Summer Scholars Program!
  • 04/01/2024: My research group is currently at full capacity, and I do not have openings for research interns and assistants. All available industry research sponsorships will be prioritized for my existing students until the end of 2024.
  • 19/09/2023: Congratulations to Arjun Raj, Liyun Zhu, Liwen Luo, and Qixiang Chen, who were awarded the Active Intelligence Research Challenge Award as four master’s/honors students! Thanks to the research sponsorship provided by Active Intelligence Corp.
  • 18/09/2023: Congratulations to Xiuyuan (Jack) Yuan for being awarded the Summer Research Internship! Thanks to the ANU School of Computing for providing research funding.