| Apr 24, 2025 | Our paper Long-Tailed Continual Learning For Visual Food Recognition is accepted to IEEE Transactions on Multimedia. We introduced new food image benchmark datasets VFN186 that simulates the real-world food consumption patterns for healthy people, type-1 and type-2 diabetes to perfrom continual learning. The paper and dataset can be accessed Here. |
| Feb 26, 2025 | Can we use LoRA to continusouly learn new tasks? Our paper CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning is accepted to CVPR 2025. Paper and source code can be found Here. |
| Feb 21, 2025 | I am honored to co-chair the 2nd MetaFood Workshop Workshop at CVPR 2025. Call for paper is now open! |
| Sep 17, 2024 | Our MetaFood3D dataset is now available — the first comprehensive 3D food dataset with nutrition values |
| Jul 10, 2024 | I am honored to receive the Top-5 Postdoctoral Mentoring Award from Purdue University. |
| Jul 09, 2024 | I give the talk Advances in Image-Based Dietary Assessment at Fudan University. |
| Jun 19, 2024 | I am honored to be recognized as an Outstanding Reviewer for CVPR 2024 |
| Jun 17, 2024 | I am honored to co-chair the MetaFood Workshop at CVPR 2024. |
| Feb 27, 2024 | Our paper Gradient Reweighting: Towards Imbalanced Class-Incremental Learning is accepted to CVPR 2024 |
| Feb 27, 2024 | Our paper Towards Backward-Compatible Continual Learning of Image Compression is accepted to CVPR 2024. |