default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYefeng Zheng 0001
郑冶枫
Person information
- unicode name: 郑冶枫
- affiliation: Westlake University, Hangzhou, China
- affiliation: Tencent, Jarvis Lab, Shenzhen, China
- affiliation (2006 - 2017): Siemens Corporate Research, Princeton, NJ, USA
- affiliation (PhD 2005): University of Maryland, College Park, MD, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[j123]Jiangbo Shi
, Chen Li, Yefeng Zheng, Huazhu Fu:
KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images. Inf. Fusion 126: 103660 (2026)- [j122]Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng:
Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 3835-3851 (2026) - [j121]Jinheng Xie, Zhaochuan Luo, Rouyi Li, Yawen Huang, Haozhe Liu, Yuexiang Li, Yefeng Zheng, Yang Zhang, Linlin Shen, Mike Zheng Shou:
Open-world Weakly-Supervised Object Localization. Pattern Recognit. 169: 111808 (2026) - [j120]Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng:
ConRF: Zero-shot stylization of 3D scenes with conditioned radiation fields. Pattern Recognit. 175: 113134 (2026) - [j119]Zhijian Wu, Hong Wang, Yefeng Zheng:
A lightweight physics-driven dual exposure correction network for endoscopic images. Pattern Recognit. 177: 113370 (2026) - [j118]Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 45(1): 308-319 (2026) - [i207]Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao:
Attention Needs to Focus: A Unified Perspective on Attention Allocation. CoRR abs/2601.00919 (2026) - [i206]Zanting Ye, Xiaolong Niu, Xuanbin Wu, Xu Han, Shengyuan Liu, Jing Hao, Zhihao Peng, Hao Sun, Jieqin Lv, Fanghu Wang, Yanchao Huang, Hubing Wu, Yixuan Yuan, Habib Zaidi, Arman Rahmim, Yefeng Zheng, Lijun Lu:
Unveiling and Bridging the Functional Perception Gap in MLLMs: Atomic Visual Alignment and Hierarchical Evaluation via PET-Bench. CoRR abs/2601.02737 (2026) - [i205]Wenfang Sun, Hao Chen, Yingjun Du, Yefeng Zheng, Cees G. M. Snoek:
RegionReasoner: Region-Grounded Multi-Round Visual Reasoning. CoRR abs/2602.03733 (2026) - 2025
- [j117]Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng, Yaochu Jin:
Empowering scientific discovery with explainable small domain-specific and large language models. Artif. Intell. Rev. 58(12): 371 (2025) - [j116]Ziyun Cai, Yawen Huang, Tengfei Zhang, Yefeng Zheng, Dong Yue:
Multi-Source Domain Adaptation by Causal-Guided Adaptive Multimodal Diffusion Networks. Int. J. Comput. Vis. 133(7): 4623-4645 (2025) - [j115]Yawen Huang, Huimin Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Yefeng Zheng:
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions. Int. J. Comput. Vis. 133(7): 4727-4748 (2025) - [j114]Jinheng Xie, Songhe Deng, Xianxu Hou, Zhaochuan Luo, Linlin Shen, Yawen Huang, Yefeng Zheng, Mike Zheng Shou:
CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation. Int. J. Comput. Vis. 133(8): 5569-5588 (2025) - [j113]Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang:
Clinical pathway-aware large language models for reliable and transparent medical dialogue. J. Biomed. Informatics 172: 104942 (2025) - [j112]Hong Liu, Dong Wei, Qian Dai, Xian Wu, Yefeng Zheng, Liansheng Wang:
Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation. Medical Image Anal. 106: 103759 (2025) - [j111]Zhen Li, Yiqian Shi, Li Wang, Jiayu Lu, Xueli Liu, Jonghye Woo, Jingsong Ouyang, Jiyi Hu, Di Zhou, Wentao Gong, Xiaojing Yang, Haoyan Yu, Yongkang Wang, Feidi Liu, Yafei Dong, Meng Ye, Shang Shi, Xiao Chen, Mingyan Qiu, Georges El Fakhri, Lin Kong, Xicai Sun, Yefeng Zheng, Yuxuan Shi, Hongmeng Yu, Xiaofeng Liu:
Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution. npj Digit. Medicine 8(1) (2025) - [j110]Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton:
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digit. Medicine 8(1) (2025) - [j109]Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton:
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3332-3343 (2025) - [j108]Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Representation by Decoupled Feature Queries. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11252-11269 (2025) - [j107]Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng:
GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization. Pattern Recognit. 164: 111484 (2025) - [j106]Xiaohui Chu, Hantao Zhou, Yan Zhang, Yachao Zhang, Runze Hu, Haoran Duan, Yawen Huang, Yefeng Zheng, Rongrong Ji:
Attention-driven acoustic properties learning for underwater target ranging. Pattern Recognit. 164: 111560 (2025) - [j105]Lina Sun, Hong Wang, Qi Xie, Yefeng Zheng, Deyu Meng:
Encoding sampling pattern for robust and generalized MRI reconstruction. Pattern Recognit. 168: 111772 (2025) - [j104]Zhen Hong, Bowen Wang, Haoran Duan, Yawen Huang, Xiong Li, Zhenyu Wen, Xiang Wu, Wei Xiang, Yefeng Zheng:
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors. IEEE Trans. Circuits Syst. Video Technol. 35(6): 5182-5194 (2025) - [j103]Jie Song, Yue Sun, Ziyun Cai, Liang Xiao, Yawen Huang, Yefeng Zheng:
DUSA-UNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j102]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang:
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. IEEE Trans. Medical Imaging 44(4): 1671-1685 (2025) - [j101]Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu:
PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. IEEE Trans. Medical Imaging 44(4): 1853-1865 (2025) - [j100]Hong Wang, Yichen Wu, Yongbo Wang, Dong Wei, Xian Wu, Jianhua Ma, Yefeng Zheng:
Adaptive Weighting Based Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 44(6): 2408-2423 (2025) - [j99]Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng:
Rethinking Brain Tumor Segmentation From the Frequency Domain Perspective. IEEE Trans. Medical Imaging 44(11): 4536-4553 (2025) - [j98]Jie Su, Peng Sun, Yuting Jiang, Zhenyu Wen, Fangda Guo, Yiming Wu, Zhen Hong, Haoran Duan, Yawen Huang, Rajiv Ranjan, Yefeng Zheng:
A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8100-8111 (2025) - [j97]Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng:
UniHead: Unifying Multi-Perception for Detection Heads. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9565-9576 (2025) - [j96]Zihong Sun, Hong Wang, Qi Xie, Yefeng Zheng, Deyu Meng:
RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16549-16563 (2025) - [c285]Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng:
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. AAAI 2025: 12183-12191 - [c284]Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao:
Model Merging for Knowledge Editing. ACL (6) 2025: 433-443 - [c283]Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu:
A Survey on Foundation Language Models for Single-cell Biology. ACL (1) 2025: 528-549 - [c282]Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu:
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. ACL (Findings) 2025: 6748-6769 - [c281]Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian:
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. ACL (Findings) 2025: 20553-20565 - [c280]Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao:
Training-free LLM Merging for Multi-task Learning. ACL (1) 2025: 33111-33124 - [c279]Suhuang Wu, Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng, Wei Li, Hui Li, Rongrong Ji:
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs. COLING 2025: 1057-1068 - [c278]Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan:
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. CVPR Workshops 2025: 1172-1183 - [c277]Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng:
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation. CVPR 2025: 23838-23849 - [c276]Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu:
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models. EMNLP 2025: 3559-3582 - [c275]Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu:
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering. EMNLP 2025: 3731-3756 - [c274]Huimin Wang, Yutian Zhao, Yefeng Zheng, Xian Wu:
RareSyn: Health Record Synthesis for Rare Disease Diagnosis. EMNLP 2025: 12311-12327 - [c273]Zhenxi Lin, Ziheng Zhang, Jian Wu, Yefeng Zheng, Xian Wu:
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding. EMNLP (Findings) 2025: 23745-23759 - [c272]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Xian Wu, Yefeng Zheng:
Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding. ICCVW 2025: 4461-4471 - [c271]Jingchao Wang, Wenlong Zhang, Dingjiang Huang, Hong Wang, Yefeng Zheng:
A Simple and Better Baseline for Visual Grounding. ICME 2025: 1-6 - [c270]Sik Chit Wu, Munan Ning, Dong Wei, Yefeng Zheng, Donghuan Lu, Li Yuan:
OpenDUN: To Discover Unknown Number of Visual Categories. ICME 2025: 1-6 - [c269]Hong Liu, Dong Wei, Qiong Peng, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang:
Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation. IPMI (2) 2025: 218-233 - [c268]Jialin Li, Dong Wei, Jiaming Qiu, Yiwei Ren, Pujin Cheng, Junyan Lyu, Terry Tao Ye, Yefeng Zheng, Xiaoying Tang:
Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing. ISBI 2025: 1-5 - [c267]Duoer Zhang, Wenbo Xiao, Chen Jiang, Yuxuan Qiu, Zhan Feng, Hong Wang, Yefeng Zheng, Wentao Zhu:
A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification. MICCAI (7) 2025: 3-12 - [c266]Zhijian Wu, Hong Wang, Yuxuan Shi, Dingjiang Huang, Yefeng Zheng:
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction. MICCAI (11) 2025: 13-23 - [c265]Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models. MICCAI (14) 2025: 56-66 - [c264]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Shaoxin Li, Xian Wu, Yefeng Zheng, Feiyue Huang:
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM. MICCAI (5) 2025: 122-132 - [c263]Yuxuan Long, Yulin Zhang, Hong Wang, Xiaodong Kuang, Hailiang Huang, Fan Rao, Huafeng Liu, Yefeng Zheng, Wentao Zhu:
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction. MICCAI (3) 2025: 459-469 - [c262]Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, Liansheng Wang:
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation. MICCAI (5) 2025: 552-562 - [c261]Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng:
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. MICCAI (4) 2025: 627-637 - [c260]Jia-Xuan Jiang, Jiashuai Liu, Hongtao Wu, Yifeng Wu, Zhong Wang, Qi Bi, Yefeng Zheng:
Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement. ACM Multimedia 2025: 993-1002 - [c259]Hongming Wang, Yifeng Wu, Huimin Huang, Hongtao Wu, Jiaxuan Jiang, Xiaodong Zhang, Hao Zheng, Yawen Huang, Xian Wu, Yefeng Zheng, Jinping Xu, Jing Cheng:
BrainSegDMIF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation. ACM Multimedia 2025: 1520-1529 - [c258]Hongtao Wu, Yifeng Wu, Jiaxuan Jiang, Chengyu Wu, Hong Wang, Yefeng Zheng:
SAMVSR: Leveraging Semantic Priors to Zone-Focused Mamba for Video Snow Removal. ACM Multimedia 2025: 7376-7385 - [c257]Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Haolan Zhan, Yixian Shen, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng:
AtlantisGS: Underwater Sparse-View Scene Reconstruction via Gaussian Splatting. ACM Multimedia 2025: 7805-7814 - [c256]Yutian Zhao, Huimin Wang, Yefeng Zheng, Xian Wu:
A Layered Debating Multi-Agent System for Similar Disease Diagnosis. NAACL (Short Papers) 2025: 539-549 - [c255]Zheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao:
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration. UIST 2025: 18:1-18:18 - [c254]Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu:
How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. WWW 2025: 5330-5341 - [i204]Zhen Hong, Bowen Wang, Haoran Duan, Yawen Huang, Xiong Li, Zhenyu Wen, Xiang Wu, Wei Xiang, Yefeng Zheng:
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors. CoRR abs/2501.06469 (2025) - [i203]Zhipeng Deng, Zhe Xu, Tsuyoshi Isshiki, Yefeng Zheng:
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation. CoRR abs/2501.07378 (2025) - [i202]Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu:
The Curse of Depth in Large Language Models. CoRR abs/2502.05795 (2025) - [i201]Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu:
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2502.08391 (2025) - [i200]Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao:
Sliding Window Attention Training for Efficient Large Language Models. CoRR abs/2502.18845 (2025) - [i199]Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, XinCao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun:
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. CoRR abs/2504.12711 (2025) - [i198]Jingchao Wang, Hong Wang, Wenlong Zhang, Kunhua Ji, Dingjiang Huang, Yefeng Zheng:
Progressive Language-guided Visual Learning for Multi-Task Visual Grounding. CoRR abs/2504.16145 (2025) - [i197]Hongming Wang, Yifeng Wu, Huimin Huang, Hongtao Wu, Jia-Xuan Jiang, Xiaodong Zhang, Hao Zheng, Xian Wu, Yefeng Zheng, Jinping Xu, Jing Cheng:
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation. CoRR abs/2505.06133 (2025) - [i196]Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng:
CellVerse: Do Large Language Models Really Understand Cell Biology? CoRR abs/2505.07865 (2025) - [i195]Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu:
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering. CoRR abs/2505.17427 (2025) - [i194]Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Xiaohui Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu:
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models. CoRR abs/2505.17433 (2025) - [i193]Xixian Yong, Xiaofang Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu:
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens. CoRR abs/2505.18237 (2025) - [i192]Jiashuai Liu, Yingjia Shang, Yingkang Zhan, Di Zhang, Yi Niu, Dong Wei, Xian Wu, Zeyu Gao, Chen Li, Yefeng Zheng:
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models. CoRR abs/2505.24141 (2025) - [i191]Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng:
Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective. CoRR abs/2506.10142 (2025) - [i190]Hong Huang, Weixiang Sun, Zhijian Wu, Jingwen Niu, Donghuan Lu, Xian Wu, Yefeng Zheng:
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain. CoRR abs/2506.10730 (2025) - [i189]Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao:
Training-free LLM Merging for Multi-task Learning. CoRR abs/2506.12379 (2025) - [i188]Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao:
Model Merging for Knowledge Editing. CoRR abs/2506.12384 (2025) - [i187]Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian:
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. CoRR abs/2506.14235 (2025) - [i186]Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng:
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. CoRR abs/2507.00802 (2025) - [i185]Jiaxuan Jiang, Jiashuai Liu, Hongtao Wu, Yifeng Wu, Zhong Wang, Qi Bi, Yefeng Zheng:
Single-Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement. CoRR abs/2507.08340 (2025) - [i184]Zheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao:
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration. CoRR abs/2507.20355 (2025) - [i183]Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng:
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. CoRR abs/2508.00442 (2025) - [i182]Jingchao Wang, Zhijian Wu, Dingjiang Huang, Yefeng Zheng, Hong Wang:
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder. CoRR abs/2508.04107 (2025) - [i181]Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yifan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng:
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models. CoRR abs/2508.09210 (2025) - [i180]Ziqi Zhang, Yuexiang Li, Yawen Huang, Nanjun He, Tao Xu, Liwei Lin, Yefeng Zheng, Shaoxin Li, Feiyue Huang:
Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning. CoRR abs/2510.08393 (2025) - [i179]Jingchao Wang, Wenlong Zhang, Dingjiang Huang, Hong Wang, Yefeng Zheng:
A Simple and Better Baseline for Visual Grounding. CoRR abs/2510.10587 (2025) - [i178]Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li:
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts. CoRR abs/2510.13500 (2025) - [i177]Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan L. Yuille, Zongwei Zhou:
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data. CoRR abs/2510.14831 (2025) - [i176]Jinlin Li, Yuran Wang, Yifei Yuan, Xiao Zhou, Yingying Zhang, Xixian Yong, Yefeng Zheng, Xian Wu:
Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding. CoRR abs/2510.18321 (2025) - [i175]Fan Zhang, Haoxuan Li, Shengju Qian, Xin Wang, Zheng Lian, Hao Wu, Zhihong Zhu, Yuan Gao, Qiankun Li, Yefeng Zheng, Zhouchen Lin, Pheng-Ann Heng:
Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond. CoRR abs/2511.00389 (2025) - [i174]Xun Lin, Shuai Wang, Yi Yu, Zitong Yu, Jiale Zhou, Yizhong Liu, Xiaochun Cao, Alex C. Kot, Yefeng Zheng:
Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing. CoRR abs/2511.14157 (2025) - [i173]Yingjia Shang, Yi Liu, Huimin Wang, Furong Li, Wenfang Sun, Wu Chengyu, Yefeng Zheng:
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation. CoRR abs/2511.19257 (2025) - [i172]Xinquan Yang, Jinheng Xie, Yawen Huang, Yuexiang Li, Huimin Huang, Hao Zheng, Xian Wu, Yefeng Zheng, Linlin Shen:
X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data. CoRR abs/2512.20980 (2025) - [i171]Jingchao Wang, Kaiwen Zhou, Zhijian Wu, Kunhua Ji, Dingjiang Huang, Yefeng Zheng:
VPTracker: Global Vision-Language Tracking via Visual Prompt and MLLM. CoRR abs/2512.22799 (2025) - 2024
- [j95]Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [j94]Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu:
A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. Biomed. Signal Process. Control. 94: 106265 (2024) - [j93]Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
Cross-modality Neuroimage Synthesis: A Survey. ACM Comput. Surv. 56(3): 80:1-80:28 (2024) - [j92]Zhenyu Wen, Yuheng Ye, Jie Su, Taotao Li, Jinhao Wan, Shilian Zheng, Zhen Hong, Shibo He, Haoran Duan, Yuexiang Li, Yawen Huang, Yefeng Zheng:
Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing. IEEE Intell. Syst. 39(6): 48-57 (2024) - [j91]Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen:
Large language models for generative information extraction: a survey. Frontiers Comput. Sci. 18(6): 186357 (2024) - [j90]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j89]Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. Inf. Sci. 665: 120393 (2024) - [j88]Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang:
Large language models leverage external knowledge to extend clinical insight beyond language boundaries. J. Am. Medical Informatics Assoc. 31(9): 2054-2064 (2024) - [j87]Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
Improving vision transformer for medical image classification via token-wise perturbation. J. Vis. Commun. Image Represent. 98: 104022 (2024) - [j86]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. Medical Image Anal. 91: 103019 (2024) - [j85]Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Anal. 93: 103095 (2024) - [j84]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024) - [j83]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-supervised learning for medical image data with anatomy-oriented imaging planes. Medical Image Anal. 94: 103151 (2024) - [j82]