news

Nov 09, 2025 Our paper Food Image Generation on Multi-Noun Categories is accepted to WACV 2026
Nov 07, 2025 Our paper PANDA - Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning is accepted to AAAI 2026 (23,680 submission, 4,167 accepted, 17.6% overall acceptance rate)
Jul 23, 2025 I gave the talk AI-Powered Image-Based Dietary Assessment in the NIH-funded course The Mathematical Sciences in Obesity Research at Chicago.
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.