Wenbin An - RankMe

35 papers A* 11A 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting SAM for Cross-Domain Few-Shot Segmentation via Conditional Point Sparsification. CoRR Jiahao Nie, Yun Xing, Wenbin An, Qingsong Zhao, Jiawei Shao, Yap-Peng Tan, Alex C. Kot, Shijian Lu, Xuelong Li
2026	J	`jnl`	Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation. CoRR Jiahao Nie, Guanqiao Fu, Wenbin An, Yap-Peng Tan, Alex C. Kot, Shijian Lu
2026	J	`jnl`	E.M.Ground: A Temporal Grounding Vid-LLM with Holistic Event Perception and Matching. CoRR Jiahao Nie, Wenbin An, Gongjie Zhang, Yicheng Xu, Yap-Peng Tan, Alex C. Kot, Shijian Lu
2026	A*	`conf`	Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation. AAAI Wenbin An, Jiahao Nie, Feng Tian, Mingxiang Cai, Yaqiang Wu, Xiaoqin Zhang, Shijian Lu
2025	J	`jnl`	Empowering Multimodal LLMs with External Tools: A Comprehensive Survey. CoRR Wenbin An, Jiahao Nie, Yaqiang Wu, Feng Tian, Shijian Lu, Qinghua Zheng
2025	A*	`conf`	Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. CVPR Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Ping Chen, Xiaoqin Zhang, Shijian Lu
2025	A*	`conf`	Unleashing the Potential of Model Bias for Generalized Category Discovery. AAAI Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen
2024	J	`jnl`	A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future. CoRR Shilin Sun, Wenbin An, Feng Tian, Fang Nan, Qidong Liu, Jun Liu, Nazaraf Shah, Ping Chen
2024	A	`conf`	A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery. ICME Haonan Lin, Wenbin An, Yan Chen, Feng Tian, Yuzhe Yao, Wei Ding, Qianying Wang, Ping Chen
2024	A*	`conf`	A Unified Knowledge Transfer Network for Generalized Category Discovery. AAAI Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2024	J	`jnl`	AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. CoRR Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu
2024	J	`jnl`	An AttnGAN-Based Macro Image Synthesis Model for Predicting the Internal Structure of Billets. IEEE Trans. Instrum. Meas. Hongji Meng, Yue Wang, Wenbin An, Jian Yang, Qing He
2024	J	`jnl`	DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. Knowl. Based Syst. Wenbin An, Feng Tian, Wenkai Shi, Haonan Lin, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Hua Wen, Lei Yao, Ping Chen
2024	J	`jnl`	DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. CoRR Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang
2024	A*	`conf`	Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. NeurIPS Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Qianying Wang, Guang Dai, Jingdong Wang
2024	J	`jnl`	Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. CoRR Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang
2024	—	`conf`	Generalized Category Discovery with Large Language Models in the Loop. ACL (Findings) Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen
2024	J	`jnl`	Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. CoRR Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen
2024	J	`jnl`	MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era. CoRR Jiahao Nie, Gongjie Zhang, Wenbin An, Yap-Peng Tan, Alex C. Kot, Shijian Lu
2024	A*	`conf`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. NeurIPS Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
2024	J	`jnl`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. CoRR Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang
2024	A*	`conf`	Transfer and Alignment Network for Generalized Category Discovery. AAAI Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2024	J	`jnl`	Unleashing the Potential of Model Bias for Generalized Category Discovery. CoRR Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen
2023	A*	`conf`	A Diffusion Weighted Graph Framework for New Intent Discovery. EMNLP Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen
2023	J	`jnl`	A Diffusion Weighted Graph Framework for New Intent Discovery. CoRR Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen
2023	J	`jnl`	Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. IEEE Trans. Comput. Soc. Syst. Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng
2023	A*	`conf`	DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. EMNLP Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen
2023	J	`jnl`	DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. CoRR Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen
2023	A*	`conf`	Generalized Category Discovery with Decoupled Prototypical Network. AAAI Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen
2023	J	`jnl`	Generalized Category Discovery with Large Language Models in the Loop. CoRR Wenbin An, Wenkai Shi, Feng Tian, Haonan Lin, Qianying Wang, Yaqiang Wu, Mingxiang Cai, Luyan Wang, Yan Chen, Haiping Zhu, Ping Chen
2023	J	`jnl`	New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intell. Syst. Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding
2023	J	`jnl`	Transfer and Alignment Network for Generalized Category Discovery. CoRR Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen
2022	A*	`conf`	Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. EMNLP Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang
2022	J	`jnl`	Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. CoRR Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, Qianying Wang
2022	J	`jnl`	Generalized Category Discovery with Decoupled Prototypical Network. CoRR Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen