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Lin Liu

STEM, Univsersity of South Austrlia

Any Part of Bayesian Network Structure Learning


Mar 23, 2021
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li


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Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning


Mar 11, 2021
Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li


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Spatial Modulation: an Attractive Secure Solution to Future Wireless Network


Mar 06, 2021
Feng Shu, Lin Liu, LiLi Yang, Xinyi Jiang, Guiyang Xia, Yuanyuan Wu, Xianpeng Wang, Shi Jin, Jiangzhou Wang, Xiaohu You

* arXiv admin note: text overlap with arXiv:1907.02215 

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A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing


Feb 04, 2021
Lin Liu, Shuo Feng, Yiheng Feng, Xichan Zhu, Henry X. Liu


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A Transfer Learning Based Active Learning Framework for Brain Tumor Classification


Nov 16, 2020
Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati


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Dependency-based Anomaly Detection: Framework, Methods and Benchmark


Nov 13, 2020
Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu

* 39 pages, 9 figures 

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Learning causal representations for robust domain adaptation


Nov 12, 2020
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li


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Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs


Nov 05, 2020
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

* Accepted to NeurIPS 2020. Project page: "http://home.ustc.edu.cn/~ll0825/project_FDNet.html

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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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