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2020 – today
- 2024
[j4]Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang
:
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns 5(1): 100898 (2024)- [j3]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5(2): 100913 (2024) - [c11]Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang:
CLAP: Collaborative Adaptation for Patchwork Learning. ICLR 2024 - [i13]Marianne Arriola, Weishen Pan, Manqi Zhou, Qiannan Zhang, Chang Su, Fei Wang:
Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities. CoRR abs/2405.11280 (2024) - [i12]Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou:
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. CoRR abs/2405.16413 (2024) - 2023
- [j2]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13235-13249 (2023) - [c10]Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov:
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML 2023: 36336-36354 - [c9]Chengxi Zang, Weishen Pan, Fei Wang:
Mining Electronic Health Records for Real-World Evidence. KDD 2023: 5837-5838 - [i11]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR abs/2305.06217 (2023) - [i10]Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov:
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR abs/2306.08757 (2023) - [i9]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR abs/2307.14668 (2023) - [i8]Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang:
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. CoRR abs/2310.17816 (2023) - 2022
- [c8]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - 2021
- [c7]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD 2021: 207-217 - [c6]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c5]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [i7]Weishen Pan, Changshui Zhang:
The Definitions of Interpretability and Learning of Interpretable Models. CoRR abs/2105.14171 (2021) - [i6]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i5]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i4]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i3]Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR abs/2109.06037 (2021) - 2020
- [j1]Runpeng Cui, Zhong Cao, Weishen Pan, Changshui Zhang, Jianqiang Wang:
Deep Gesture Video Generation With Learning on Regions of Interest. IEEE Trans. Multim. 22(10): 2551-2563 (2020) - [i2]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR abs/2006.08267 (2020)
2010 – 2019
- 2017
- [i1]Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang:
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm. CoRR abs/1702.08740 (2017) - 2016
- [c4]Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchère, Christian Viard-Gaudin:
SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents. ICFHR 2016: 295-300 - 2015
- [c3]Zhi Liu, Xiang Wang, Weishen Pan, Baohua Yang, Xiaohe Hu, Jun Li:
Towards efficient load distribution in big data cloud. ICNC 2015: 117-122 - [c2]Huiyun Mao, Weishen Pan:
A Style Transformation Method for Printed Chinese Characters. ICIG (1) 2015: 494-503 - [c1]Weishen Pan, Guangdong Hou, Changshui Zhang:
Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images. IScIDE (1) 2015: 392-400
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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