Jun, 2025
MICCAI 2025

A Prior-Driven Lightweight Network for Endoscopic Exposure Correction

Zhijian Wu, Hong Wang, Yuxuan Shi, Dingjiang Huang, and Yefeng Zheng
Jun, 2025
MICCAI 2025

A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-Contrast CT with Anatomy Simplification

Duoer Zhang, Wenbo Xiao, Chen Jiang, Yuxuan Qiu, Zhan Feng, Hong Wang, Yefeng Zheng, and Wentao Zhu
Jun, 2025
MICCAI 2025

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency

Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, and Yefeng Zheng
Jun, 2025
MICCAI 2025

PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction

Yuxuan Long, Yulin Zhang, Hong Wang, Xiaodong Kuang, Hailiang Huang, Fan Rao, Huafeng Liu, Yefeng Zheng, and Wentao Zhu
Jun, 2025
MICCAI 2025

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation

Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, and Liansheng Wang
Jun, 2025
MICCAI 2025

D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM

Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Shaoxin Li, Xian Wu, Yefeng Zheng, and Feiyue Huang
Jun, 2025
MICCAI 2025

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-yu Tong
Jun, 2025
Lancet Digital Health.

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

Y. Shi, Z. Li, L. Wang, H. Wang, X. Liu, D. Gu, X. Chen, X. Liu, W. Gong, X. Jiang, W. Li, Y. Lin, K. Liu, D. Luo, T. Peng, X. Peng, M. Tong, H. Zheng, X. Zhou, J. Wu, G. El Fakhri, M. Chang, J. Liao, J. Li, D. Wang, J. Ye, S. Qu, W. Jiang, Q. Liu, X. Sun, Y. Zheng, H. Yu
May, 2025
ACL, 2025

Model Merging for Knowledge Editing

Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
May, 2025
ACL, 2025

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models

Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu
May, 2025
ACL, 2025

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs

Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qi
May, 2025
ACL, 2025

Training-free LLM Merging for Multi-task Learning

Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
May, 2025
ACL, 2025

A Survey on Foundation Language Models for Single-cell Biology

Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu
Apr, 2025
ISBI, 2025

Braineditor: Structure-Disentangled Brain MRI Synthesis Via Natural Language Prompted Diffusion Image Editing

Jialin Li, Dong Wei, Jiaming Qiu, Yiwei Ren, Pujin Cheng, Junyan Lyu, Terry Tao Ye, Yefeng Zheng, Xiaoying Tang
Apr, 2025
Nature Reviews Bioengineering, 2025

Application of Large Language Models in Medicine

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
Apr, 2025
IPMI, 2025

Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation

Hong Liu, Dong Wei, Qiong Peng, Yawen Huang, Xian Wu, Yefeng Zheng and Liansheng Wang
Apr, 2025
IEEE Transactions on Neural Networks and Learning Systems

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation

Zihong Sun, Hong Wang, Qi Xie, Yefeng Zheng, Deyu Meng
Mar, 2025
ICME, 2025

A Simple and Better Baseline for Visual Grounding

Jingchao Wang, Wenlong Zhang, Dingjiang Huang, Hong Wang, Yefeng Zheng
Mar, 2025
CVPR, 2025

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation

Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Yawen Huang,bYuexiang Li, Xian Wu, Yefeng Zheng
Feb, 2025
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
Feb, 2025
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
Feb, 2025
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
Feb, 2025
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
Feb, 2025
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
Feb, 2025
NAACL 2025

A Layered Debating Multi-Agent System for Similar Disease Diagnosis (In Press)

Y. Zhao, H. Wang, Y. Zheng, and X. Wu
Feb, 2025
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
Dec, 2024
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
Dec, 2024
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
Dec, 2024
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
Dec, 2024
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
Dec, 2024
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
Dec, 2024
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
Dec, 2024
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
Nov, 2024
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
Nov, 2024
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
Nov, 2024
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
Oct, 2024
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
Oct, 2024
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
Oct, 2024
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
Oct, 2024
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