Yan Shen

Affiliations:
  • University at Buffalo, Buffalo, NY, USA


According to our database1, Yan Shen authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning.
CoRR, 2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning.
CoRR, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation.
CoRR, 2021

2020
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain Tumor Segmentation on MRI with Missing Modalities.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018


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