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Wenbin An

I am a third year Ph.D. Student of Xi'an Jiaotong University.

Publications

Conference & Journal Papers

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) [Paper] [Code]
  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) [Paper] [Code]
  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) [Paper] [Code]
  4. 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) [Paper] [Code]
  5. 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)

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) [Paper] [Code]
  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) [Paper] [Code]
  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). [Paper] [Code]
  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) [Paper] [Code]

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) [Paper] [Code]
  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) [Paper]

Pre-print Papers

  1. Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, QianYing Wang, Guang Dai, Ping Chen, Shijian Lu. AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. ArXiv Preprint. [Paper] [Code]
  2. Jiahao Nie, Gongjie Zhang, Wenbin An, Yap-Peng Tan, Alex C Kot, Shijian Lu. MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era. ArXiv Preprint. [Paper] [Code]