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Lin Liu

STEM, Univsersity of South Austrlia

Assessing the Fairness of Classifiers with Collider Bias

Oct 08, 2020
Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

* 9pages,7figures 

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Sufficient Dimension Reduction for Average Causal Effect Estimation

Sep 14, 2020
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu


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Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

Aug 07, 2020
Lin Liu, Rajarshi Mukherjee, James M. Robins


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Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Jul 27, 2020
Zhuojian Xiao, Yunjiang jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan


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Wavelet-Based Dual-Branch Network for Image Demoireing

Jul 17, 2020
Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian

* Accepted to ECCV 2020 

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A unified survey on treatment effect heterogeneity modeling and uplift modeling

Jul 14, 2020
Weijia Zhang, Jiuyong Li, Lin Liu


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A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks

Jun 01, 2020
Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati


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Hierarchical Feature Embedding for Attribute Recognition

May 23, 2020
Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu

* CVPR 2020 

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A general framework for causal classification

Mar 27, 2020
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

* arXiv admin note: text overlap with arXiv:1604.07212 by other authors 

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Causal query in observational data with hidden variables

Feb 24, 2020
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le


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Towards precise causal effect estimation from data with hidden variables

Feb 24, 2020
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Lee, Jixue Liu


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Treatment effect estimation with disentangled latent factors

Jan 29, 2020
Weijia Zhang, Lin Liu, Jiuyong Li


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Causality-based Feature Selection: Methods and Evaluations

Nov 17, 2019
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu


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Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC

Oct 10, 2019
Rui Liu, Xichan Zhu, Lin Liu, Biao Wu, Zhixiong Ma, Zhiwei Fei, Jingwei He


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Identify treatment effect patterns for personalised decisions

Jun 14, 2019
Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han


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Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling

Jun 09, 2019
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren

* Accepted by China Science Information Science. arXiv admin note: text overlap with arXiv:1811.05932 by other authors 

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On assumption-free tests and confidence intervals for causal effects estimated by machine learning

Apr 08, 2019
Lin Liu, Rajarshi Mukherjee, James M Robins

* 57 pages, 4 figures 

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Distributionally Robust Multi-instance Learning with Stable Instances

Feb 26, 2019
Weijia Zhang, Jiuyong Li, Lin Liu


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An exploration of algorithmic discrimination in data and classification

Nov 06, 2018
Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong

* arXiv admin note: text overlap with arXiv:1811.01480 

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FairMod - Making Predictive Models Discrimination Aware

Nov 05, 2018
Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li


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Discovering Context Specific Causal Relationships

Aug 20, 2018
Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le

* Intelligent Data Analysis 23(4), 2019 
* This paper has been accepted by Intelligent Data Analysis 

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A Unified View of Causal and Non-causal Feature Selection

May 23, 2018
Kui Yu, Lin Liu, Jiuyong Li


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Discovering Markov Blanket from Multiple interventional Datasets

Jan 25, 2018
Kui Yu, Lin Liu, Jiuyong Li


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Building Diversified Multiple Trees for Classification in High Dimensional Noisy Biomedical Data

Jun 26, 2017
Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green

* 12 pages 

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A Review on Algorithms for Constraint-based Causal Discovery

Nov 24, 2016
Kui Yu, Jiuyong Li, Lin Liu

* This paper has been withdrawn by the author due to further improvement 

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A fast PC algorithm for high dimensional causal discovery with multi-core PCs

Nov 10, 2016
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu

* Thuc Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu, "A fast PC algorithm for high dimensional causal discovery with multi-core PCs", IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi:10.1109/TCBB.2016.2591526 

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