| 2026 | AAAI | PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning. | Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu |
| 2026 | AAAI | FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI. | Hao Li, Zhenfeng Zhuang, Jingyu Lin, Yu Liu, Yifei Chen, Qiong Peng, Lequan Yu, Liansheng Wang |
| 2026 | CHI | Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics. | Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M. Harrison, Junyi Gao, Liantao Ma |
| 2025 | AAAI | Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning. | Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang |
| 2025 | AAAI | Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting. | Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu |
| 2025 | ACL | CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis. | Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu |
| 2025 | ICCV | C | Min Cen, Zhenfeng Zhuang, Yuzhe Zhang, Min Zeng, Baptiste Magnier, Lequan Yu, Hong Zhang, Liansheng Wang |
| 2025 | ICCV | A Dynamic Agent Framework for Large Language Model Reasoning for Medical and Visual Question Answering. | Ziyan Xiao, Ruiyang Zhang, Yushi Feng, Lingting Zhu, Liang Peng, Lequan Yu |
| 2025 | ICLR | From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics. | Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li |
| 2025 | ICML | From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining. | Fuying Wang, Jiacheng Xu, Lequan Yu |
| 2025 | ICML | Cross-Modal Alignment via Variational Copula Modelling. | Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu |
| 2025 | IJCAI | DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction. | Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu |
| 2025 | MICCAI | HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis. | Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu |
| 2025 | MICCAI | Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma. | Yanyan Huang, Wanli Zhang, Peixiang Huang, Yu Fu, Ruimeng Yang, Lequan Yu |
| 2025 | MICCAI | MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport. | Liting Yu, Tao Ma, Weiqin Zhao, Zhuo Liang, Lequan Yu |
| 2025 | SIGGRAPH | AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization. | Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu, Jian Zhang, Zeyu Wang |
| 2024 | AAAI | Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference. | Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang |
| 2024 | AAAI | Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. | Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng |
| 2024 | CVPR | L2B: Learning to Bootstrap Robust Models for Combating Label Noise. | Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing |
| 2024 | EACL | Relabeling Minimal Training Subset to Flip a Prediction. | Jinghan Yang, Linjie Xu, Lequan Yu |
| 2024 | ECCV | cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. | Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu |
| 2024 | ECCV | HERGen: Elevating Radiology Report Generation with Longitudinal Data. | Fuying Wang, Shenghui Du, Lequan Yu |
| 2024 | MICCAI | ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction. | Min Cen, Zheng Wang, Zhenfeng Zhuang, Hong Zhang, Dan Su, Zhen Bao, Weiwei Wei, Baptiste Magnier, Lequan Yu, Liansheng Wang |
| 2024 | MICCAI | Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. | Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang |
| 2024 | MICCAI | Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring. | Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang |
| 2024 | MICCAI | EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting. | Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu |
| 2023 | AAAI | MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. | Weiqin Zhao, Shujun Wang, Maximus C. F. Yeung, Tianye Niu, Lequan Yu |
| 2023 | CVPR | Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. | Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu |
| 2023 | CVPR | MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery. | Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang |
| 2023 | CVPR | Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation. | Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu |
| 2023 | ICCV | ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis. | Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu |
| 2023 | MICCAI | HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis. | Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu |
| 2023 | MICCAI | Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction. | Wentai Hou, Yan He, Bingjian Yao, Lequan Yu, Rongshan Yu, Feng Gao, Liansheng Wang |
| 2023 | MICCAI | MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction. | Yan Miao, Lequan Yu |
| 2023 | MICCAI | Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. | Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou |
| 2023 | MICCAI | Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair. | Zhonghang Zhu, Qichang Chen, Lequan Yu, Lianxin Wang, Defu Zhang, Baptiste Magnier, Liansheng Wang |
| 2023 | MICCAI | Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. | Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu |
| 2022 | AAAI | H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. | Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang |
| 2022 | CVPR | CD | Yiqing Shen, Yuyin Zhou, Lequan Yu |
| 2022 | ECCV | You Should Look at All Objects. | Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu |
| 2022 | MICCAI | Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification. | Wentai Hou, Helong Huang, Qiong Peng, Rongshan Yu, Lequan Yu, Liansheng Wang |
| 2022 | MICCAI | Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. | Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu |
| 2022 | MICCAI | CateNorm: Categorical Normalization for Robust Medical Image Segmentation. | Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou |
| 2022 | MICCAI | NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. | Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu |
| 2022 | MICCAI | Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. | Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schnlieb, Lequan Yu |
| 2022 | MICCAI | Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification. | Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, Lequan Yu |
| 2021 | MICCAI | Selective Learning from External Data for CT Image Segmentation. | Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin |
| 2021 | MICCAI | TransCT: Dual-Path Transformer for Low Dose Computed Tomography. | Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing |
| 2020 | AAAI | Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. | Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng |
| 2020 | ECCV | Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. | Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng |
| 2020 | MICCAI | Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation. | Wenlong Hang, Wei Feng, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin |
| 2020 | MICCAI | Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation. | Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng |
| 2020 | MICCAI | Difficulty-Aware Meta-learning for Rare Disease Diagnosis. | Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng |
| 2020 | MICCAI | Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. | Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu |
| 2020 | WACV | 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. | Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth |
| 2019 | MICCAI | Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. | Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni |
| 2019 | MICCAI | Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. | Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng |
| 2019 | MICCAI | Unsupervised Retina Image Synthesis via Disentangled Representation Learning. | Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng |
| 2019 | MICCAI | Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation. | Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng |
| 2019 | MICCAI | Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. | Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng |
| 2018 | BMVC | Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. | Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng |
| 2018 | CVPR | PU-Net: Point Cloud Upsampling Network. | Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |
| 2018 | ECCV | EC-Net: An Edge-Aware Point Set Consolidation Network. | Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |
| 2018 | MICCAI | Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. | Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng |
| 2017 | AAAI | Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. | Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng |
| 2017 | AAAI | Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. | Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng |
| 2017 | MICCAI | AGNet: Attention-Guided Network for Surgical Tool Presence Detection. | Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng |
| 2017 | MICCAI | Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | 3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing. | Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | Towards Automatic Semantic Segmentation in Volumetric Ultrasound. | Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng |
| 2017 | MICCAI | Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. | Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng |
| 2017 | MICCAI | 3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images. | Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng |
| 2016 | CVPR | DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. | Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng |
| 2016 | MICCAI | 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. | Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng |
| 2016 | MICCAI | 3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes. | Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng |