Wang, Yalin

33 publications

WACV 2025 A Recipe for Geometry-Aware 3D Mesh Transformers Mohammad Farazi, Yalin Wang
WACV 2025 CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang
WACV 2025 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement Vamsi Krishna S Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana Dumitrascu, Yalin Wang
ICCV 2025 Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, Aristeidis Sotiras
ICML 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi
ICCV 2025 Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning Wufei Xie, Yalin Wang, Chenliang Liu, Zhaohui Jiang, Xue Yang
ICML 2025 How Effective Can Dropout Be in Multiple Instance Learning ? Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
AAAI 2025 Multimodal Variational Autoencoder: A Barycentric View Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras
AAAI 2025 Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
ECCV 2024 DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
WACV 2024 MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang
CVPR 2024 OmniMotionGPT: Animal Motion Generation with Limited Data Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
ICML 2024 TimeMIL: Advancing Multivariate Time Series Classification via a Time-Aware Multiple Instance Learning Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
CVPRW 2024 nnMobileNet: Rethinking CNN for Retinopathy Research Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang
WACV 2023 Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang
NeurIPS 2023 Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
WACV 2022 Geometry-Aware Hierarchical Bayesian Learning on Manifolds Yonghui Fan, Yalin Wang
ICCV 2021 Cortical Surface Shape Analysis Based on Alexandrov Polyhedra Min Zhang, Yang Guo, Na Lei, Zhou Zhao, Jianfeng Wu, Xiaoyin Xu, Yalin Wang, Xianfeng Gu
WACV 2020 Regularize, Expand and Compress: NonExpansive Continual Learning Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
AAAI 2020 Regularized Wasserstein Means for Aligning Distributional Data Liang Mi, Wen Zhang, Yalin Wang
IJCAI 2018 Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
ECCV 2018 Variational Wasserstein Clustering Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang
ICCV 2017 An Optimal Transportation Based Univariate Neuroimaging Index Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang
ICCV 2017 Intrinsic 3D Dynamic Surface Tracking Based on Dynamic Ricci Flow and Teichmuller mAP Xiaokang Yu, Na Lei, Yalin Wang, Xianfeng Gu
CVPR 2016 Shape Analysis with Hyperbolic Wasserstein Distance Jie Shi, Wen Zhang, Yalin Wang
CVPR 2013 Area Preserving Brain Mapping Zhengyu Su, Wei Zeng, Rui Shi, Yalin Wang, Jian Sun, Xianfeng Gu
CVPR 2013 Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration Rui Shi, Wei Zeng, Zhengyu Su, Hanna Damasio, Zhonglin Lu, Yalin Wang, Shing-Tung Yau, Xianfeng Gu
CVPR 2009 Shape Analysis with Conformal Invariants for Multiply Connected Domains and Its Application to Analyzing Brain Morphology Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson
ICCV 2009 Shape Analysis with Multivariate Tensor-Based Morphometry and Holomorphic Differentials Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson
ICCV 2009 Studying Brain Morphometry Using Conformal Equivalence Class Yalin Wang, Wei Dai, Yi-Yu Chou, Xianfeng Gu, Tony F. Chan, Arthur W. Toga, Paul M. Thompson
CVPR 2006 Automatic Landmark Tracking and Its Application to the Optimization of Brain Conformal Mapping Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson
ICCV 2005 Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
ICCV 2005 Surface Parameterization Using Riemann Surface Structure Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau