Wenbin An
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation. | Wenbin An, Jiahao Nie, Feng Tian, Mingxiang Cai, Yaqiang Wu, Xiaoqin Zhang, Shijian Lu |
| 2025 | AAAI | Unleashing the Potential of Model Bias for Generalized Category Discovery. | Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2025 | CVPR | Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. | Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu |
| 2024 | AAAI | Transfer and Alignment Network for Generalized Category Discovery. | Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2024 | AAAI | A Unified Knowledge Transfer Network for Generalized Category Discovery. | Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen |
| 2024 | ACL | Generalized Category Discovery with Large Language Models in the Loop. | Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen |
| 2023 | AAAI | Generalized Category Discovery with Decoupled Prototypical Network. | Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, QianYing Wang, Ping Chen |
| 2023 | EMNLP | DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. | Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen |
| 2023 | EMNLP | A Diffusion Weighted Graph Framework for New Intent Discovery. | Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen |
| 2022 | EMNLP | Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. | Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang |