Haori Lu

According to our database, Haori Lu authored at least 9 papers between 2023 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

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

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, March, 2025

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

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

2023

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