Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. - Yan Shen 002; Mingchen Gao (MLMI@MICCAI, 2018)

Brain Tumor Segmentation on MRI with Missing Modalities. - Yan Shen 002; Mingchen Gao (IPMI, 2019)

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. - Zhanghexuan Ji; Yan Shen 002; Chunwei Ma; Mingchen Gao (MICCAI (3), 2019)

An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. - Yan Shen 002; Zhanghexuan Ji; Mingchen Gao (MLMI@MICCAI, 2020)

FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Hao Zhang; Benyu Zhang; Zhanghexuan Ji; Mingchen Gao (CoRR, 2021)

Meta-learning without data via Wasserstein distributionally-robust model fusion. - Zhenyi Wang 001; Xiaoyang Wang; Li Shen 008; Qiuling Suo; Kaiqiang Song; Dong Yu 001; Yan Shen 002; Mingchen Gao (UAI, 2022)

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (CoRR, 2022)

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Han Zhao 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AAMAS, 2023)

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (ICLR, 2023)

Continual Domain Adversarial Adaptation via Double-Head Discriminators. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AISTATS, 2024)