I am a Ph.D. student at the Australian National University (ANU) under the supervision of Prof. Liang Zheng and Prof. Hongdong Li. I received my M.Sc from College of Computer and Control Engineering, Nankai University (NKU) in 2018, supervised by Prof. Jufeng Yang.
I am interested in exploring cutting-edge advancements in Computer Vision and Machine Learning. Specifically, I am deeply intrigued by model and data vulnerability assessment, learning from synthetic data, and dataset representation strategies. Currently, my focus is on data-centric computer vision, involving comprehensive understanding of data vulnerability, developing robust evaluation protocols for computer vision tasks and uncovering underlying dataset distribution patterns.
I am lucky to have opportunities to work with Dr. Vivek Sharma (Sony AI), Dr. Nidham Gazagnadou (Sony AI), Dr. Lingjuan Lyu (Sony AI), Prof. Ming-Ming Cheng (Nankai University), Prof. Yu-Kun Lai and Prof. Paul Rosin (Cardiff University).
Two papers are accepted by ICLR 2024
One paper is accepted by NeurIPS 2023 for spotlight presentation
Co-organize the 2nd Workshop on Vision Datasets Understanding at CVPR 2023
Internship at PPML team of Sony AI
One paper is accepted by ICCV 2021
Ranking Models in Unlabeled New Environments [Paper]
The Alice benchmark suite is online!
Online evaluation of domain adaptive pedestrian recognition has been opened now. More interesting tasks are coming. [Alice benchmark suite]
Historical Context-based Style Classification of Painting Images via Label Distribution Learning
ACM International Conference on Multimedia (ACM MM), 2018
Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018