Linlan Huang

According to our database, Linlan Huang authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bridging Inter-Task Gap of Continual Self-Supervised Learning With External Data.

Haori Lu, Xusheng Cao, Linlan Huang, Enguang Wang, Fei Yang, Xialei Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2026

2025

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting.

Yuyang Liu, Qiuhe Hong, Linlan Huang, Alexandra Gomez-Villa, Dipam Goswami, Xialei Liu, Joost van de Weijer, Yonghong Tian

CoRR, August, 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, March, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion.

Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Generative Multi-modal Models are Good Class-Incremental Learners.

Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024