Weishen Pan

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang

Patterns, January, 2024

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

Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang

Patterns, 2024

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

Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou

CoRR, 2024

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

Marianne Arriola, Weishen Pan, Manqi Zhou, Qiannan Zhang, Chang Su, Fei Wang

CoRR, 2024

CLAP: Collaborative Adaptation for Patchwork Learning.

Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment.

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

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

Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

CoRR, 2023

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

Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang

CoRR, 2023

Mining Electronic Health Records for Real-World Evidence.

Chengxi Zang, Weishen Pan, Fei Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.

Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

Proceedings of the International Conference on Machine Learning, 2023

2022

Collaboration Equilibrium in Federated Learning.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

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.

Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

Fair and Consistent Federated Learning.

Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

CoRR, 2021

Learning to Collaborate.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

The Definitions of Interpretability and Learning of Interpretable Models.

Weishen Pan, Changshui Zhang

CoRR, 2021

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning.

Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

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.

Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang

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.

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

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.

Runpeng Cui, Zhong Cao, Weishen Pan, Changshui Zhang, Jianqiang Wang

IEEE Trans. Multim., 2020

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

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

CoRR, 2020

2017

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

Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang

CoRR, 2017

2016

SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents.

Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchère, Christian Viard-Gaudin

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.

Weishen Pan, Guangdong Hou, Changshui Zhang

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

A Style Transformation Method for Printed Chinese Characters.

Huiyun Mao, Weishen Pan

Proceedings of the Image and Graphics - 8th International Conference, 2015

Towards efficient load distribution in big data cloud.

Zhi Liu, Xiang Wang, Weishen Pan, Baohua Yang, Xiaohe Hu, Jun Li

Proceedings of the International Conference on Computing, Networking and Communications, 2015