Dr Lei Wang

PhD (ANU), MPE (UWA)
Research Fellow
ANU College of Engineering, Computing and Cybernetics

Areas of expertise

  • Machine Learning 4611
  • Computer Vision 460304
  • Video Processing 460309
  • Pattern Recognition 460308

Research interests

  • Action recognition
  • Anomaly detection
  • Video image processing
  • One- & few-shot learning
  • Deep learning
  • Tensor learning
  • Domain adaptation

Biography

[Lei’s CV]  [D61/CSIRO Profile]

Lei Wang serves as a Research Fellow at the School of Computing, within the ANU College of Engineering, Computing, and Cybernetics. He is under the guidance of Assoc. Prof. Liang Zheng (ANU) and Prof. Tom Gedeon (Curtin University).

Currently, he also holds the position of Computer Scientist at Active Intelligence Australia Pty Ltd in Perth. In this role, he leads research and development efforts in the field of commercial anomaly detection solutions. His project has successfully raised 1.2 million US dollars, and as a result, he was awarded the Incentive Unit Award.

In addition to his academic and research responsibilities, Lei Wang also contributes to the field as a Visiting Scientist in the Machine Learning Research Group (MLRG) at Data61 (formerly NICTA), a division of The Commonwealth Scientific and Industrial Research Organisation (CSIRO).

Since 2018, Lei has been dedicated to his work as a full-time Computer Vision Researcher with iCetana Pty Ltd in Perth. During this time, he also acted as a Visiting Researcher in MLRG at Data61/CSIRO and contributed as a Visiting Researcher with the Department of Computer Science and Software Engineering at The University of Western Australia (UWA).

Prior to commencing his PhD at ANU and Data61/CSIRO, Lei received several competitive full 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.

Throughout his PhD candidature, Lei authored a significant number of first-author papers published in esteemed venues, such as CVPR, ICCV, ECCV, ACM MM, TPAMI, IJCV, and TIP. His research, conducted under the guidance of Dr. Piotr Koniusz (Data61/CSIRO & ANU), earned him the Sang Uk Lee Best Student Paper Award from ACCV’22.

Lei’s research interests encompass a wide range of topics, including action recognition in videos, anomaly detection, video image processing, one- and few-shot learning, deep learning, tensor learning, and domain adaptation.

He is an active member of both IEEE and ACM as a Student Member.

Researcher's projects

In academia, I focus on hypothesizing, conducting research, publishing papers, and teaching to advance the field of knowledge.

In industry, I concentrate on developing new products and technologies, applying science to solve marketplace problems, and collaborating with team members to create innovative solutions that will benefit the company financially.

I am also working to bridge the gap between academic research and industry research needs.

Academic Research

  • 20/02/2023-present: Research Fellow (full-time)
    • School of Computing, ANU College of Engineering, Computing and Cybernetics
    • Postdoc advisor: Assoc. Prof. Liang Zheng (ANU) and Prof. Tom Gedeon (Curtin University)
    • National Computational Merit Allocation Scheme (NCMAS 2024): I am a Chief Investigator (CI) / Delegated lead CI on 'MotionNetLite: Video Dynamics Distillation for Scalable Models'
    • The NCI National AI Flagship Merit Allocation Scheme: I am a Lead Chief Investigator (Lead CI) on 'Robust anomaly detection in human-centric videos'
    • I am serving as an Area Chair for ACM Multimedia 2024
    • Grant: I am a Co-Investigator (Co-I) on 'Review of Xailient’s technical pipeline of facial recognition'
    • I am serving as an Area Chair for ICPR 2024
    • NCI Adaptater Scheme Q4 2023 (HPC funding scheme): I am a Chief Investigator (CI) on 'Towards building general-purpose multimodal foundation models'
    • Grant / Project Award from Oracle (AU$48,000) for Research on 'Automatic, large-scale screening of failure cases in autonomous driving' 
    • Invited talk on 'Action Recognition: Past, Present and Future' hosted by Harbin Institute of Technology, Shenzhen, China 
    • Grant: I am a Co-Investigator (Co-I) on 'Sharing early insights for more resilient communities'
  • 30/06/2023-present: Visiting Scientist
    • Machine Learning Research Group (MLRG), Data61/CSIRO (Black Mountain ACT)
  • 22/07/2019-12/12/2023: Postgraduate Research Student (PhD student, full-time)
    • [1] School of Computing, ANU College of Engineering, Computing and Cybernetics & [2] Machine Learning Research Group (MLRG), Data61/CSIRO (Acton & Black Mountain ACT)
    • Supervisory panel:
    • One paper has been accepted for the IJCV special issue
    • 2 papers have been accepted for ICASSP 2024
    • Granted the research award of Doctor of Philosophy (01/11/2023)
    • Received the Sang Uk Lee Best Student Paper Award from ACCV’22
    • One paper each published at CVPR, ICCV, ECCV, ACM-MM, TPAMI & TIP
  • 10/10/2018-09/10/2019: Visiting Researcher
    • Department of Computer Science and Software Engineering (CSSE), The University of Western Australia (UWA)
    • Supervisor: Assoc. Prof. Du Huynh (UWA)
  • 21/09/2018-19/07/2019: Visiting Researcher
    • MLRG, Data61/CSIRO (Floreat WA)
    • Supervisor: Dr. Piotr Koniusz (Data61/CSIRO & ANU)

Industry Research

  • 05/07/2021-01/03/2024: Computer Scientist (contract)
    • Active Intelligence Australia Pty Ltd, Perth, Western Australia (WA)
    • Country manager: Mr. Francis Williams
    • Francis and I established the Active Intelligence Research Challenge Award (01/08/2023-present)
    • Granted the Incentive Unit Award (09/09/2022-08/09/2032)
    • Raised 1.2 million US dollars (~1.79 million Australian dollars)
    • Filed a patent [US provisional patent, SN 63/326,525]
  • 28/09/2020-28/01/2021: Machine Learning Researcher (contract)
    • Ebenezer Technologies, Barranquilla, Colombia
    • Researched & delivered an anomaly detection system (Alice Guardian smart video surveillance)
  • 22/07/2019-28/09/2020: Machine Learning / Computer Vision Researcher (Casual Appointment, 20%)
    • iCetana Pty Ltd, Perth, WA
    • Manager: Mr. Graeme Woods (iCetana’s former Head of Product)
    • Filed a provisional patent [AU Patent AU 2,019,903,775]
  • 02/07/2018-19/07/2019: Computer Vision Research Intern (full-time)
    • iCetana Pty Ltd, Perth, WA
    • Supervisor: Dr. Moussa Reda Mansour (iCetana’s former Research & Development Lead)
    • Manager: Mr. Graeme Woods (iCetana’s former Head of Product)
    • Filed a provisional patent [AU Patent AU 2,019,900,316]

Available student projects

Project 1: ANU TechLauncher [Ongoing]

The TechLauncher program is for team-based activities at ANU, where the project and/or group activity undertaken is real, not synthetic. In TechLauncher you will be a team member on a project, and shall be supported by a program of tutorials at which your peers, along with experienced professional tutors/mentors, facilitate your professional development and mediate your team processes and interactions.

If you would like to join a Techlauncher cohort, you can do so by enrolling in any on the following courses: COMP3500 - Software Engineering Project, COMP3550 - Advanced Computing R&D Project, COMP3710 - Topics in Computer Science, COMP4500 - Software Engineering Practice, and COMP8715 - Computing Project.

In the 2024 Semester 1 and 2, my proposed project is ‘ActiveIntelligence: CAM-FALL (Camera-based Fall Alert System)’. This project marks the 2nd Annual Active Intelligence Research Challenge (refer to Industry Research Sponsorship below). Francis and I are the clients.

Step into a safer future with ActiveIntelligence’s CAM-FALL system. This innovative project offers a unique opportunity to address a pressing concern using cutting-edge technology. By harnessing the power of cameras, we aim to create a solution that not only identifies falls but also provides prompt assistance, ensuring the well-being of individuals within our community. Participation in the project will provide students with a holistic learning experience encompassing technical skills, problem-solving abilities, project management competencies, and ethical awareness, preparing them for future endeavors in the fields of computer vision, artificial intelligence, and software engineering.

Project 2: Industry Research Sponsorship for Students [Completed]

I annually organize multiple industry research awards to support promising research candidates (Bachelor’s, Honours, and Master’s Students) interested in my research areas. Please note that only students from the Group of Eight (Go8) Australian universities are considered.

The Active Intelligence Research Challenge Award was established by Mr. Lei Wang and Mr. Francis Williams to honor individuals who have demonstrated exceptional dedication, expertise, and a commitment to excellence in the field of Artificial Intelligence and Machine Learning. The Award includes a cash prize (up to $5,000) along with a research internship (6-12 months full-time). These awards are provided by Active Intelligence Corporation LLC.

The Awards are granted solely on merit and are not subject to quotas. Typically, four candidates can receive awards from a pool of 20 candidates (with a minimum GPA of 6.75/7), resulting in an approximate acceptance rate of 20%, based on the 2023-2024 results. This year marks the 1st Annual Active Intelligence Research Challenge.

For more information regarding the application and award process, please contact the awarded candidates before reaching out to me.

  • 2023-2024 awarded ANU international students are:
    • Mr. Arjun Raj (Bachelor of Advanced Computing (Research and Development) (Honours)),
    • Mr. Liyun Zhu (Master of Machine Learning and Computer Vision),
    • Mr. Liwen Luo (Master of Machine Learning and Computer Vision), and
    • Mr. Qixiang Chen (Bachelor of Advanced Computing (Honours)).

Project 3: ANU Summer Research Scholars Program [Completed]

ANU offers Summer Research Scholarships (SRS) and Summer Research Internships (SRI). External (non-ANU) students from Australia and New Zealand are eligible to apply for a Summer Research Scholarship. Current ANU students are eligible to apply for a Summer Research Internship.

The SRS scholarship includes board and on-campus accommodation for 9 weeks (run between Monday 20 Nov 2023 to Friday 19 Jan 2024), including the Christmas shutdown period. Candidates are awarded a stipend of $150 per week, along with a travel allowance of up to $1,000 for students relocating from interstate or from New Zealand. The SRI scholarship provides a stipend of $400 per week to assist with the cost of living during the program. All students participating in the program will be invited to a variety of shared social events, workshops and seminars during the summer period.

For more details, please refer to Summer Research Scholarships. You can find my research projects by visiting 2023-2024 ANU CECC SRS Projects Page, get in touch if you are interested.

  • 2023-2024 awarded ANU domestic student:
    • Mr. Xiuyuan (Jack) Yuan (Bachelor of Advanced Computing). Thanks to the ANU School of Computing for providing research funding.

Project 4: Bachelor & Honours Research Project [Ongoing]

I am a registered ANU Higher Degree Research (HDR) supervisor.

If you are an ANU undergraduate seeking an Honors research project, please note that I typically accept a maximum of two Honors students each year to ensure high-quality supervision, and I prefer 24-unit projects.

If you are an ANU master’s student seeking individual projects, I require candidates to have a solid research background, a strong GPA, and proficient coding skills. Additionally, it is important that you have adequate time available for research.

Current student projects

I serve as the primary supervisor for six ANU students who are undertaking final year research projects, spanning 24 units over two consecutive semesters:

  • Dexuan Ding: Robust human-centric anomaly detection
  • Qixiang Chen: A closer look at fine-grained motions (co-supervised with Prof. Chen Chen from the University of Central Florida)
  • Huilin Chen: Spatio-temporal video coding: an in-depth analysis and assessment
  • Liyun Zhu: A comparative review of recent video-based anomaly detection algorithms (co-supervised with Prof. Chen Chen from the University of Central Florida)
  • Jushang Qiu: Dynamics distillation for scalable models
  • Liwen Luo: Spatio-temporal motion prediction

Return to top

Updated:  16 April 2024 / Responsible Officer:  Director (Research Services Division) / Page Contact:  Researchers