Zheng, Yefeng

74 publications

ICCV 2025 A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

NeurIPS 2025 CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

NeurIPS 2025 D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images Shurong Yang, Dong Wei, Yihuang Hu, Qiong Peng, Hong Liu, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang

NeurIPS 2025 Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng

AAAI 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

NeurIPS 2025 Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization Hao Zheng, Jingjun Yi, Qi Bi, Huimin Huang, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng

CVPRW 2025 NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results 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

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, Yuexiang Li, Xian Wu, Yefeng Zheng

ICCV 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data 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 Yuille, Zongwei Zhou

NeurIPS 2025 The Curse of Depth in Large Language Models Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu

ICLRW 2025 The Curse of Depth in Large Language Models Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu

NeurIPS 2025 Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens Xixian Yong, Xiao Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu

ICCV 2025 TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng

AAAI 2024 Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

AAAI 2024 Cooper: Coordinating Specialized Agents Towards a Complex Dialogue Goal Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

AAAI 2024 Federated Learning via Input-Output Collaborative Distillation Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann

AAAI 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

CVPR 2024 Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng

NeurIPS 2024 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

NeurIPS 2024 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

AAAI 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

NeurIPS 2024 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

ICML 2024 Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

AAAI 2024 Pre-Trained Online Contrastive Learning for Insurance Fraud Detection Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

IJCAI 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

NeurIPS 2024 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

IJCAI 2024 TFCD: Towards Multi-Modal Sarcasm Detection via Training-Free Counterfactual Debiasing Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng

CVPR 2024 Tune-an-Ellipse: CLIP Has Potential to Find What You Want Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jurgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou

CVPR 2024 ViLa-MIL: Dual-Scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu

CVPR 2023 AdaptiveMix: Improving GAN Training via Feature Space Shrinkage Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

ICCV 2023 BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

AAAI 2023 ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng

AAAI 2023 Combating Mode Collapse via Offline Manifold Entropy Estimation Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

NeurIPS 2023 Dynamically Masked Discriminator for GANs Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

ICCV 2023 FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng

IJCAI 2023 Fighting Against Organized Fraudsters Using Risk Diffusion-Based Parallel Graph Neural Network Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang

AAAI 2023 Identify Event Causality with Knowledge and Analogy Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

CVPR 2023 Interactive Segmentation as Gaussion Process Classification Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

NeurIPS 2023 Learning Visual Prior via Generative Pre-Training Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

AAAI 2023 M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

AAAI 2023 Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

CVPR 2023 SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng

IJCAI 2022 "My Nose Is Running." "Are You Also Coughing?": Building a Medical Diagnosis Agent with Interpretable Inquiry Logics Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang

IJCAI 2022 Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

AAAI 2022 Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

ECCVW 2022 Decoupled Mixup for Out-of-Distribution Visual Recognition Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng

ECCV 2022 Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng

ECCV 2022 Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng

ICLR 2022 PAC-Bayes Information Bottleneck Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

AAAI 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

CVPR 2021 Calibrated RGB-D Salient Object Detection Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng

CVPR 2021 From Rain Generation to Rain Removal Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng

CVPR 2021 Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng

ICCV 2021 Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng

ICLR 2021 Stabilized Medical Image Attacks Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

IJCAI 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng

IJCAI 2020 Cross-Denoising Network Against Corrupted Labels in Medical Image Segmentation with Domain Shift Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng

ECCV 2020 Deep Image Clustering with Category-Style Representation Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng

ECCV 2020 Dual Adversarial Network for Deep Active Learning Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

AAAI 2020 Generative Adversarial Networks for Video-to-Video Domain Adaptation Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

NeurIPS 2020 Information Theoretic Counterfactual Learning from Missing-Not-at-Random Feedback Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, Yefeng Zheng

ECCV 2020 Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

CVPRW 2012 Segmentation and Removal of Pulmonary Arteries, Veins and Left Atrial Appendage for Visualizing Coronary and Bypass Arteries Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera

CVPR 2011 Adaptive Random Forest - How Many "experts" to Ask Before Making a Decision? Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys

CVPR 2009 Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaohua Kevin Zhou, Michael Scheuering, Dorin Comaniciu

CVPR 2009 Robust Object Detection Using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Left Ventricle Detection in 2D MRI Images Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu

CVPR 2008 3D Ultrasound Tracking of the Left Ventricle Using One-Step Forward Prediction and Data Fusion of Collaborative Trackers Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu

CVPR 2008 Hierarchical, Learning-Based Automatic Liver Segmentation Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Sühling, Dorin Comaniciu

ECCV 2008 Signature-Based Document Image Retrieval Guangyu Zhu, Yefeng Zheng, David S. Doermann

ICCV 2007 Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu

CVPR 2007 Multi-Scale Structural Saliency for Signature Detection Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger

ECCV 2006 Example Based Non-Rigid Shape Detection Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, Shaohua Kevin Zhou, Dorin Comaniciu

ICCV 2005 Robust Point Matching for Two-Dimensional Nonrigid Shapes Yefeng Zheng, David S. Doermann

CVPRW 2003 Background Line Detection with a Stochastic Model Yefeng Zheng, Huiping Li, David S. Doermann