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Education

Mar 2019 - Dec 2022  - The University of Sydney - Doctor of Philosophy

Thesis: Deep Learning for Visual Data CompressionThesis Deep Learning for Visual Data Compression.Funded by Australian Research Training Program (RTP) International Fellowship.Highlight The research ouputs were published in Core A* conferences (CVPR, ECCV) and JCR-Q1 journals (T-IP) and awarded ICCV2023 Doctoral Consortium. 

Jul 2013 - Jul 2017   - The University of Sydney - Bachelor of Information Technology (Computer Science, Honors I)

Discipline: The First Class Honors degree of Engineering in Computer Science Major (B.Eng. H1)Highlight Awarded Google Australia Prize for Excellence in Computer Science 2017 as the most outstanding honours year student with Rank 1st average mark.

Employment

May 2024 -Now  ByteDance Ltd  - Research Engineer (Machine Learning)

Sydney, AustraliaTrust and Safety Algorithm Team, TikTok Australia, ByteDance LtdResearch & Development  Trust and Safety Generative AI framework for the TikTok users’ engagement functions including: Understanding users’ feedbacks, comments and interaction messages using Large Language Models (LLMs).

Sep 2022 -May 2024  - The University of Sydney - Postdoctoral Research Fellow

Sydney, AustraliaFaculty of Engineering, University of SydneyResearch Generative AI methods tackle a variety of computer vision challenges, such as: (1). Using Transformer-based Variational Autoencoders (VAEs) to improve video compression efficiency. (2). Applying Neural Implicit Functions (NIFs) and Transformer-based Codebook for advanced processing of 3D point clouds and meshes. (3). Leveraging Vector Quantized Generative Adversarial Networks (VQ-GAN) and Large Language Models (LLMs) to enhance X-Ray image synthesis and automate report generation. (4). Applying contrastive learning optimization for relaxing assumption of Federated Learning. Highlight research outputs were published in Core A* conferences (AAAI, MM, CVPR, ECCV) and received USYD Vonwiller Fellowship 2023.Lecturer & Coordinator university postgraduate-level Artificial Intelligence and Computer Vision units.Co-supervision Ph.D./MPhil. candidates with A/Prof Luping Zhou at The University of Sydney and Ph.D candidates with Prof Dong Xu at The University of Hong Kong.

Sep 2022 - Feb 2023 - The Walt Disney Company- Research Internship (Artificial Intelligence)

Zurich, SwitzerlandVideo Processing Group, Disney Research, The Walt Disney Company.Research & Development AI-based video compression method tailored for Disney's streaming applications (e.g., Disney+), proposing a novel efficient Transformer-based approach (ST-XCT) with linear computational complexity, which outperforms both traditional video codecs (e.g., H.266/VVC) and conventional Transformer-based methods (VCT).Highlight The research was published in MM2023 (Core A*) and filed a non-provisional US patent application. Co-supervision a Ph.D. student at ETH Zurich & Disney Research joint Ph.D.  program with Dr. Christopher Schroers.

Aug 2018 - March 2019 - SenseTime Ltd - Research Internship (Computer Vision)

Shenzhen, ChinaSmart City Group, SenseTime Research, SenseTime Group Limited.Research & Development AI-based perception frameworks focused on human-centric analytical tasks, utilizing knowledge graph techniques to model specific facial or human regions. Proposed methods enhance the performance of facial attribute recognition and skeleton-based action recognition.Highlight The research outcomes have been published at ICME2021 (Core A) and CVPR2020 (Core A*) as Oral Presentations and filed two patents.

Student Researcher

Sep 2017 - Jul 2018 - SIAT, Chinese Academy of Sciences 

Shenzhen, ChinaResearch on deep learning-based object detection and domain adaptation methods for multimedia analysis.

Nov 2015 - Feb 2017 - Data61, CSIRO

Sydney, AustraliaResearch on safety-oriented time-spatial data visualization, which won the Best Summer Scholar presentation at CSIRO 2016 and was published at IJCNN 2017..