Yu, Lequan

35 publications

NeurIPS 2025 Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu
ICCV 2025 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis Min Cen, Zhenfeng Zhuang, Yuzhe Zhang, Min Zeng, Baptiste Magnier, Lequan Yu, Hong Zhang, Liansheng Wang
ICML 2025 Cross-Modal Alignment via Variational Copula Modelling Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
IJCAI 2025 DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu
AAAI 2025 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
ICLR 2025 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
ICML 2025 From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining Fuying Wang, Jiacheng Xu, Lequan Yu
AAAI 2025 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
NeurIPS 2025 MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks Yinghao Zhu, Ziyi He, Haoran Hu, Xiaochen Zheng, Xichen Zhang, Zixiang Wang, Junyi Gao, Liantao Ma, Lequan Yu
NeurIPS 2025 Variational Pólya Tree Lu Xu, Tsai Hor Chan, Lequan Yu, Kwok Fai Lam, Guosheng Yin
AAAI 2024 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
NeurIPS 2024 Free Lunch in Pathology Foundation Model: Task-Specific Model Adaptation with Concept-Guided Feature Enhancement Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu
ECCV 2024 HERGen: Elevating Radiology Report Generation with Longitudinal Data Fuying Wang, Shenghui Du, Lequan Yu
CVPR 2024 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
AAAI 2024 Memory-Efficient Prompt Tuning for Incremental Histopathology Classification Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
TMLR 2024 Single-Shot Plug-and-Play Methods for Inverse Problems Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero
ECCV 2024 cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu
NeurIPS 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
ICCV 2023 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
CVPR 2023 Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu
NeurIPS 2023 IDRNet: Intervention-Driven Relation Network for Semantic Segmentation Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu
CVPR 2023 MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang
AAAI 2023 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
CVPR 2023 Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
CVPR 2022 CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning Yiqing Shen, Yuyin Zhou, Lequan Yu
AAAI 2022 H2-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
NeurIPS 2022 Multi-Granularity Cross-Modal Alignment for Generalized Medical Visual Representation Learning Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
ECCV 2022 You Should Look at All Objects Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
WACV 2020 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 Yuille, Holger Roth
ECCV 2020 Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng
AAAI 2020 Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
ECCV 2018 EC-Net: An Edge-Aware Point Set Consolidation Network Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
AAAI 2017 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
AAAI 2017 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
CVPR 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng