Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. - Wenbin An; Feng Tian 002; Ping Chen 001; Siliang Tang; Qinghua Zheng; Qianying Wang (EMNLP, 2022)

Generalized Category Discovery with Decoupled Prototypical Network. - Wenbin An; Feng Tian 002; Qinghua Zheng; Wei Ding 003; Qianying Wang; Ping Chen 001 (AAAI, 2023)

DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Yan Chen 031; Qinghua Zheng; Qianying Wang; Ping Chen 001 (EMNLP, 2023)

A Diffusion Weighted Graph Framework for New Intent Discovery. - Wenkai Shi; Wenbin An; Feng Tian 002; Qinghua Zheng; Qianying Wang; Ping Chen 001 (EMNLP, 2023)

New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. - Wenbin An; Feng Tian 002; Ping Chen 001; Qinghua Zheng; Wei Ding 003 (IEEE Intell. Syst., 2023)

Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. - Wenbin An; Feng Tian 002; Ping Chen 001; Qinghua Zheng (IEEE Trans. Comput. Soc. Syst., 2023)

Transfer and Alignment Network for Generalized Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Yan Chen 031; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2024)

A Unified Knowledge Transfer Network for Generalized Category Discovery. - Wenkai Shi; Wenbin An; Feng Tian 002; Yan Chen 031; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2024)

Generalized Category Discovery with Large Language Models in the Loop. - Wenbin An; Wenkai Shi; Feng Tian 002; Haonan Lin; Qianying Wang; Yaqiang Wu; Mingxiang Cai; Luyan Wang; Yan Chen 031; Haiping Zhu; Ping Chen 001 (ACL (Findings), 2024)

A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery. - Haonan Lin; Wenbin An; Yan Chen 031; Feng Tian 002; Yuzhe Yao; Wei Ding 003; Qianying Wang; Ping Chen 001 (ICME, 2024)

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. - Haonan Lin; Yan Chen 031; Jiahao Wang 004; Wenbin An; Mengmeng Wang 005; Feng Tian 002; Yong Liu 007; Guang Dai; Jingdong Wang 001; Qianying Wang (NeurIPS, 2024)

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. - Haonan Lin; Wenbin An; Jiahao Wang 004; Yan Chen 031; Feng Tian 002; Mengmeng Wang 005; Qianying Wang; Guang Dai; Jingdong Wang 001 (NeurIPS, 2024)

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. - Haonan Lin; Mengmeng Wang 005; Yan Chen 031; Wenbin An; Yuzhe Yao; Guang Dai; Qianying Wang; Yong Liu 007; Jingdong Wang 001 (CoRR, 2024)

MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era. - Jiahao Nie 002; Gongjie Zhang; Wenbin An; Yap-Peng Tan; Alex C. Kot; Shijian Lu (CoRR, 2024)

AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. - Wenbin An; Feng Tian 002; Sicong Leng; Jiahao Nie 002; Haonan Lin; Qianying Wang; Guang Dai; Ping Chen 001; Shijian Lu (CoRR, 2024)

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. - Wenbin An; Feng Tian 002; Jiahao Nie 002; Wenkai Shi; Haonan Lin; Yan Chen 031; Qianying Wang; Yaqiang Wu; Guang Dai; Ping Chen 001 (CoRR, 2024)

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future. - Shilin Sun; Wenbin An; Feng Tian 002; Fang Nan; Qidong Liu 002; Jun Liu 002; Nazaraf Shah; Ping Chen 001 (CoRR, 2024)

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery. - Wenbin An; Feng Tian 002; Wenkai Shi; Haonan Lin; Yaqiang Wu; Mingxiang Cai; Luyan Wang; Hua Wen; Lei Yao; Ping Chen 001 (Knowl. Based Syst., 2024)

An AttnGAN-Based Macro Image Synthesis Model for Predicting the Internal Structure of Billets. - Hongji Meng; Yue Wang 140; Wenbin An; Jian Yang; Qing He 009 (IEEE Trans. Instrum. Meas., 2024)

Unleashing the Potential of Model Bias for Generalized Category Discovery. - Wenbin An; Haonan Lin; Jiahao Nie 002; Feng Tian 002; Wenkai Shi; Yaqiang Wu; Qianying Wang; Ping Chen 001 (AAAI, 2025)

Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. - Wenbin An; Feng Tian 002; Sicong Leng; Jiahao Nie 002; Haonan Lin; Qianying Wang; Ping Chen 001; Xiaoqin Zhang; Shijian Lu (CVPR, 2025)

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey. - Wenbin An; Jiahao Nie 002; Yaqiang Wu; Feng Tian 002; Shijian Lu; Qinghua Zheng (CoRR, 2025)