<2026>

[1] Wenbin An, Jiahao Nie, Feng Tian, mingxiang cai, Yaqiang Wu, Xiaoqin Zhang, Shijian Lu. Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026, CCF-A)

[2] Shilin Sun, Wenbin An*, Qidong Liu, Zhi Zeng, Xian-Sheng Hua, Yaqiang Wu, Luyan Wang, Sibo Cai, Feng Tian. Uncertainty-Aware Token Disambiguation for Multimodal Sentiment Analysis with Missing Modalities. ACM Multimedia 2026 (MM 2026, CCF-A)

[3] Jiahao Nie, Wenbin An^#, Gongjie Zhang, Yicheng Xu, Yap-Peng Tan, Alex C Kot, Shijian Lu. Temporal grounding of Video Large Language Model via holistic event perception and matching. Pattern Recognition (PR 2026, CCF-B)

[4] Shilin Sun, Wenbin An, Qidong Liu, Fang Nan, Jiahao Nie, Zhi Zeng, Xian-Sheng Hua, Yaqiang Wu, Feng Tian. Graph Mixture of Experts with Differential Cross-Attention Alignment for Multimodal Intent Recognition. Knowledge-based Systems (KBS 2026, CCF-C)

[5] Jiahao Nie, Guanqiao Fu, Wenbin An, Yap-Peng Tan, Alex C Kot, Shijian Lu. Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation. 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026, CCF-A)

<2025>

[1] Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, QianYing Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu. Mitigating object hallucinations in large vision-language models with assembly of global and local attention.  2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025, CCF-A)

[2] Wenbin An, Jiahao Nie, Feng Tian, Haonan Lin, Yaqiang Wu, QianYing Wang, Xiaoqin Zhang, Shijian Lu. Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation. Advances in Neural Information Processing Systems 38 (NeurIPS 2025 Oral, CCF-A)

[3] Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen. Unleashing the Potential of Model Bias for Generalized Category Discovery. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025, CCF-A)

<2024>

[1] Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen. Transfer and Alignment Network for Generalized Category Discovery. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024, CCF-A)

[2] Wenbin An, FWenkai Shi, Feng Tian, Haonan Lin, QianYing Wang, Yaqiang Wu, mingxiang cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen. Generalized Category Discovery with Large Language Models in the Loop. The 62nd Annual Meeting of the Association for Computational Linguistics(ACL 2024 Findings)

[3] Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, QianYing Wang, Ping Chen. DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. Knowledge-based Systems (KBS 2024, CCF-C) 

[4] Haonan Lin, Wenbin An^#, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang. Flipped classroom: Aligning teacher attention with student in generalized category discovery.  Advances in Neural Information Processing Systems 37 (NeurIPS 2024 Oral, CCF-A)

[5] Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen. A Unified Knowledge Transfer Network for Generalized Category Discovery. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024, CCF-A)

[6] Haonan Lin, Wenbin An, Feng Tian, Yan Chen, QianYing Wang, Ping Chen. Tri-Branch Framework with Prototype-Aware Matching for Universal Novel Category Discovery. 2024 IEEE International Conference on Multimedia and Expo (ICME 2024, CCF-B)

[7] Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang. Schedule your edit: A simple yet effective diffusion noise schedule for image editing.  Advances in Neural Information Processing Systems 37 (NeurIPS 2024, CCF-A)

<2023>

[1] Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen. Generalized category discovery with decoupled prototypical network. The 37th Annual AAAI Conference on Artificial Intelligence (AAAI 2023, CCF-A)

[2] Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen. DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, CCF-B)

[3] Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding. New User Intent Discovery with Robust Pseudo Label Training and Source Domain Joint-training. IEEE Intelligent Systems (IEEE IS 2023)

[4] Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, QianYing Wang, Ping Chen. A Diffusion Weighted Graph Framework for New Intent Discovery. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, CCF-B) 

<2022>

[1] Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, QianYing Wang. Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, CCF-B)

[2] Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng. Aspect-based sentiment analysis with heterogeneous graph neural network. IEEE Transactions on Computational Social Systems (TCSS 2022, CCF-C)