About Me

In the autumn of 2022, I began my Ph.D. journey at the School of Computing, Australian National University. My supervisor is Prof. Nick Barnes, with additional academic guidance from Prof. Deng-Ping Fan. Before this, I obtained my Master’s degree in 2021 from the School of Computer Science, Wuhan University. My research centers on tackling challenging perception problems through computer vision and machine learning, with a particular focus on designing effective and scalable algorithms for real-world multimodal applications. I regularly serve as a reviewer for leading journals and conferences, including TPAMI, TIP, IJCV, CVPR, and ICCV. I am honored to have been named among Stanford/Elsevier’s list of the world’s top 2% scientists for two consecutive years (2024 & 2025).

Research Interests

My research areas include but are not limited to:

• Complex Scene Understanding: Camouflaged/Salient Object Discovery on different data modalities (e.g., RGB, RGB-Depth, RGB-Thermal, Light-Field)
• Open-World Scene Understanding: Out-of-distribution Detection, Open-vocabulary, Large Multimodal Models (LMMs)
• Medical Image Analysis: Multimodal Medical AI, Colorectal Polyp Segmentation, Lung Infection Segmentation
• Video Analysis: Video Object Segmentation, Video Camouflaged/Salient Object Detection, Motion Segmentation

Recent Updates

• [Oct 16, 2024] We launch IntelliScope project to explore the frontiers of intelligent colonoscopy techniques and their potential impact on multimodal medical applications. (ColonSurvey & ColonINST & ColonGPT)
• [Sep 28, 2023] We conduct empirical studies on the Segment Anything Model (SAM) by investigating its abilty on three concealed scenarios. (arXiv & 公众号解读), which was accepted by SCIS journal.
• [Apr 25, 2023] We release a comprehensive survey paper about ‘Deep Concealed Scene Understanding’. (arXiv & Project & 公众号解读)
• [Feb 14, 2023] Call for paper: Multi-Modal Representation Learning, Special Issue in Machine Intelligence Research (MIR) journal, 2023 (Submission Deadline: July 1, 2023)
• [Nov 26, 2022] We release two awesome paper reading lists for the camouflaged object detection (COD) and video polyp segmentation (VPS)
• [Nov 04, 2022] One paper about video polyp segmentation is published in Machine Intelligence Research (MIR) journal. (Open Access - Springer & MIR News)
• [Oct 18, 2022] Our paper about video object segmentation is published in Computational Visual Media (CVM) journal. (Open Access)
• [Aug 06, 2022] One paper about efficient camouflaged object detection was accepted by Machine Intelligence Research (MIR) journal. (Open Access - Springer)

Viewing Stats

Contact

Email: echo Z2VwZW5nYWkuamlAZ21haWwuY29tCg== | base64 --decode