International Journal of Computer Vision
Multi-source Domain Adaptation by Causal-guided Adaptive Multimodal Diffusion Networks
Ziyun Cai, Yawen Huang, Tengfei Zhang, Yefeng Zheng & Dong Yue
Pattern Recognition
GAD: Domain Generalized Diabetic Retinopathy Grading by Grade-Aware De-stylization
Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
Proc. AAAI Conf. Artificial Intelligence, 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Q. Liu, X. Wu, W. Wang, Y. Wang, Y. Zhu, X. Zhao, F. Tian, and Y. Zheng
Proc. the Web Conference, 2025
How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs (In Press)
Z. Zhang, Z. Lin, Y. Zheng, and X. Wu
NAACL 2025
A Layered Debating Multi-Agent System for Similar Disease Diagnosis (In Press)
Y. Zhao, H. Wang, Y. Zheng, and X. Wu
IEEE Transactions on Medical Imaging, 2025
Adaptive Weighting based Metal Artifact Reduction in CT Images
H. Wang, Y. Wu, D. Wei, X. Wu, Y. Wang, J. Ma, and Y. Zheng
Nature Reviews Bioengineering, 2025
Application of Large Language Models in Medicine (In Press)
F. Liu, H. Zhou, B. Gu, X. Zou, J. Huang, J. Wu, Y. Li, S. Chen, Y. Hua, P. Zhou, J. Liu, C. Mao, C. You, X. Wu, Y. Zheng, L. Clifton, Z. Li, J. Luo, and D. Clifton
International Journal of Computer Vision
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions
Y. Huang, H. Huang, H. Zheng, Y. Li, F. Zheng, X. Zhen, and Y. Zheng
IEEE Transactions on Pattern Analysis and Machine Intelligence
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting
Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, and David A. Clifton
npj Digital Medicine 2024
A Multimodal Multidomain Multilingual Medical Foundation Model for Zero Shot Clinical Diagnosis
F. Liu, Z. Li, Q. Yin, J. Huang, X. Wu, A. Thakur, K. Branson, P. Schwab, B. Yin, Y. Zheng, J. Luo, and D. Clifton
IEEE Transactions on Medical Imaging 2024
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
J. Sun, D. Wei, Z. Xu, D. Lu, H. Liu, H. Wang, L. Wang, and Y. Zheng
NeurIPS 2024, poster
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng
NeurIPS 2024, poster
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
NeurIPS 2024, Poster
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Haolan Zhan, Yawen Huang, Yuexiang Li, Yefeng Zheng
NeurIPS 2024, Spotlight
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
EMNLP 2024, Findings
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
Yutian Zhao, Huimin Wang, Yuqi Liu, Wu Suhuang, Xian Wu, Yefeng Zheng
EMNLP 2024, Findings
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
EMNLP 2024, main
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng
CIKM 2024
Editing factual knowledge and explanatory ability of medical large language models
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
ACM Multimedia 2024, poster
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng
ACM Multimedia 2024, poster
Aspects are Anchors: Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement
Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Yunyan Zhang, Xian Wu, Yefeng Zheng
ACM Multimedia 2024, oral
InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing
Zhihong Zhu, Xuxin Cheng, Zhaorun Chen, Yuyan Chen, Yunyan Zhang, Xian Wu, Yefeng Zheng, Bowen Xing