Class Incremental Learning with Pre-trained Vision-Language Models. - Xialei Liu; Xusheng Cao; Haori Lu; Jia-Wen Xiao; Andrew D. Bagdanov; Ming-Ming Cheng (CoRR, 2023)

Generative Multi-modal Models are Good Class-Incremental Learners. - Xusheng Cao; Haori Lu; Linlan Huang; Xialei Liu; Ming-Ming Cheng (CVPR, 2024)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion. - Linlan Huang; Xusheng Cao; Haori Lu; Xialei Liu (ECCV (54), 2024)

Class Incremental Learning for Image Classification With Out-of-Distribution Task Identification. - Xusheng Cao; Haori Lu; Xialei Liu; Ming-Ming Cheng (IEEE Trans. Multim., 2025)

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery. - Enguang Wang; Zhimao Peng; Zhengyuan Xie; Haori Lu; Fei Yang; Xialei Liu (CoRR, 2025)

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution. - Haori Lu; Xusheng Cao; Linlan Huang; Enguang Wang; Fei Yang; Xialei Liu (CoRR, 2025)

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning. - Xusheng Cao; Haori Lu; Linlan Huang; Fei Yang; Xialei Liu; Ming-Ming Cheng (CoRR, 2025)

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning. - Linlan Huang; Xusheng Cao; Haori Lu; Yifan Meng; Fei Yang; Xialei Liu (CoRR, 2025)