Weishen Pan

Orcid: 0000-0002-3274-5037

According to our database1, Weishen Pan authored at least 25 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.
Patterns, January, 2024

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models.
CoRR, 2024

Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities.
CoRR, 2024

CLAP: Collaborative Adaptation for Patchwork Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.
CoRR, 2023

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023

Mining Electronic Health Records for Real-World Evidence.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Collaboration Equilibrium in Federated Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Correcting the User Feedback-Loop Bias for Recommendation Systems.
CoRR, 2021

Fair and Consistent Federated Learning.
CoRR, 2021

Learning to Collaborate.
CoRR, 2021

The Definitions of Interpretability and Learning of Interpretable Models.
CoRR, 2021

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Deep Gesture Video Generation With Learning on Regions of Interest.
IEEE Trans. Multim., 2020

xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility.
CoRR, 2020

2017
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm.
CoRR, 2017

2016
SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2015
Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

A Style Transformation Method for Printed Chinese Characters.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Towards efficient load distribution in big data cloud.
Proceedings of the International Conference on Computing, Networking and Communications, 2015


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