Yuexiang Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization. | Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li |
| 2025 | AAAI | S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation. | Gui Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen |
| 2025 | CVPR | 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 |
| 2025 | CVPR | A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. | Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, Lei Zhu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding. | Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Xian Wu, Yefeng Zheng |
| 2025 | MICCAI | Temporal Model-Based Federated Active Medical Image Classification. | Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu |
| 2025 | MICCAI | 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, Feiyue Huang |
| 2024 | AAAI | Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. | Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2024 | AAAI | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. | Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2024 | MICCAI | A New Perspective to Boost Performance Fairness For Medical Federated Learning. | Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng |
| 2024 | MICCAI | Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. | Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Combating Mode Collapse via Offline Manifold Entropy Estimation. | Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Interactive Segmentation as Gaussian Process Classification. | Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2023 | ICCV | FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. | Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng |
| 2023 | ICCV | 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 |
| 2023 | MICCAI | MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. | Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng |
| 2022 | ECCV | Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. | Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng |
| 2022 | ECCV | 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 |
| 2022 | IJCAI | Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng |
| 2022 | MICCAI | Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. | Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng |
| 2022 | MICCAI | Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification. | Yuexiang Li, Nanjun He, Yawen Huang |
| 2022 | MICCAI | Orientation-Shared Convolution Representation for CT Metal Artifact Learning. | Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2022 | MICCAI | mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. | Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng |
| 2022 | MICCAI | A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. | Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng |
| 2022 | MICCAI | Aggregative Self-supervised Feature Learning from Limited Medical Images. | Jiuwen Zhu, Yuexiang Li, Lian Ding, S. Kevin Zhou |
| 2021 | BMVC | Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. | Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng |
| 2021 | MICCAI | Deep Reinforcement Exemplar Learning for Annotation Refinement. | Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. | Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | MICCAI | Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. | Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng |
| 2021 | MICCAI | InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2021 | MICCAI | MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. | Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng |
| 2020 | AAAI | Generative Adversarial Networks for Video-to-Video Domain Adaptation. | Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng |
| 2020 | ECCV | Dual Adversarial Network for Deep Active Learning. | Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng |
| 2020 | ECCV | Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. | Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. | Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. | Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | MI | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Instance-Aware Self-supervised Learning for Nuclei Segmentation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2019 | MICCAI | OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. | Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng |
| 2019 | MICCAI | Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. | Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng |
| 2018 | ICTAI | GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. | Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen |
| 2018 | MICCAI | Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN. | Xinpeng Xie, Yuexiang Li, Menglu Zhang, Linlin Shen |
| 2017 | MICCAI | A Deep Residual Inception Network for HEp-2 Cell Classification. | Yuexiang Li, Linlin Shen |
| 2017 | MICCAI | Deep Learning Based Multimodal Brain Tumor Diagnosis. | Yuexiang Li, Linlin Shen |
| 2016 | ICPR | HEp-2 specimen classification with fully convolutional network. | Yuexiang Li, LinLin Shen, Xiande Zhou, Shiqi Yu |