Wenbin An

According to our database, Wenbin An authored at least 26 papers between 2022 and 2026.

Collaborative distances:

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

2026

Boosting SAM for Cross-Domain Few-Shot Segmentation via Conditional Point Sparsification.

Jiahao Nie, Yun Xing, Wenbin An, Qingsong Zhao, Jiawei Shao, Yap-Peng Tan, Alex C. Kot, Shijian Lu, Xuelong Li

CoRR, February, 2026

Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation.

Jiahao Nie, Guanqiao Fu, Wenbin An, Yap-Peng Tan, Alex C. Kot, Shijian Lu

CoRR, February, 2026

E.M.Ground: A Temporal Grounding Vid-LLM with Holistic Event Perception and Matching.

Jiahao Nie, Wenbin An, Gongjie Zhang, Yicheng Xu, Yap-Peng Tan, Alex C. Kot, Shijian Lu

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey.

Wenbin An, Jiahao Nie, Yaqiang Wu, Feng Tian, Shijian Lu, Qinghua Zheng

CoRR, August, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

An AttnGAN-Based Macro Image Synthesis Model for Predicting the Internal Structure of Billets.

Hongji Meng, Yue Wang, Wenbin An, Jian Yang, Qing He

IEEE Trans. Instrum. Meas., 2024

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Haonan Lin, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Hua Wen, Lei Yao, Ping Chen

Knowl. Based Syst., 2024

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future.

Shilin Sun, Wenbin An, Feng Tian, Fang Nan, Qidong Liu, Jun Liu, Nazaraf Shah, Ping Chen

CoRR, 2024

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.

Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, QianYing Wang, Yaqiang Wu, Guang Dai, Ping Chen

CoRR, 2024

AGLA: 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, Guang Dai, Ping Chen, Shijian Lu

CoRR, 2024

MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era.

Jiahao Nie, Gongjie Zhang, Wenbin An, Yap-Peng Tan, Alex C. Kot, Shijian Lu

CoRR, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.

Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang

CoRR, 2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery.

Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Qianying Wang, Guang Dai, Jingdong Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing.

Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.

Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Unified Knowledge Transfer Network for Generalized Category Discovery.

Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transfer and Alignment Network for Generalized Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network.

Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng

IEEE Trans. Comput. Soc. Syst., February, 2023

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training.

Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding

IEEE Intell. Syst., 2023

A Diffusion Weighted Graph Framework for New Intent Discovery.

Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery.

Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generalized Category Discovery with Decoupled Prototypical Network.

Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, QianYing Wang, Ping Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022