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ORCIDLin Liu 0003
Person information
- affiliation: University of South Australia, Mawson Lakes, Australia
Other persons with the same name
- Lin Liu (aka: Liu Lin) — disambiguation page
- Lin Liu 0001 — Tsinghua University, School of Software, Beijing, China
- Lin Liu 0002 — Université de Montréal, Département de Biochimie, Canada
- Lin Liu 0004 — Stony Brook University, NY, USA
- Lin Liu 0005
![[0000-0002-7202-3418]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7202-3418")
— University of Cincinnati, Department of Geography, OH, USA (and 1 more) - Lin Liu 0006 — Hunan Normal University, Department of Physics, Changsha, China (and 1 more)
- Lin Liu 0007 — University of Science and Technology Beijing, School of Mathematics and Physics, China
- Lin Liu 0008 — Jiangsu University, College of Electrical Information and Engineering, Zhenjiang, China
- Lin Liu 0009 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Lin Liu 0010 — Chinese University of Hong Kong, Earth System Science Programme, Hong Kong (and 2 more)
- Lin Liu 0011 — Huazhong University of Science and Technology, School of Physics, Hubei Key Laboratory of Gravitation and Quantum Physics, Wuhan, China (and 1 more)
- Lin Liu 0012 — MediaTek, Inc., Hsinchu, Taiwan
- Lin Liu 0013 — Michigan Technological University, Department of Electrical and Computer Engineering, Houghton, MI, USA
- Lin Liu 0014 — Wuhan University of Technology Library, Wuhan, China
- Lin Liu 0015 (aka: Liu Lin 0015) — Shandong University of Science and Technology, College of Geodesy and Geomatics, Qingdao, China
- Lin Liu 0016 — University of Science and Technology of China, CAS Key Laboratory of Technology in GIPAS, Electronic and Electronic Ingeneering Department, China (and 1 more)
- Lin Liu 0017 — iFLYTEK Co. Ltd, iFLYTEK Research, Hefei, China
- Lin Liu 0018 — National University of Defense Technology, College of Computer, Changsha, Hunan, China
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Books and Theses
- 2015
[b1]Jiuyong Li, Lin Liu, Thuc Duy Le:
Practical Approaches to Causal Relationship Exploration. Springer Briefs in Electrical and Computer Engineering, Springer 2015, ISBN 978-3-319-14432-0, pp. 1-72
Journal Articles
- 2024
- [j86]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. ACM Comput. Surv. 56(5): 127:1-127:37 (2024) - [j85]Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li:
Fairmod: making predictions fair in multiple protected attributes. Knowl. Inf. Syst. 66(3): 1861-1884 (2024) - [j84]Kui Yu, Zhaolong Ling, Lin Liu, Peipei Li, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 18(2): 37:1-37:27 (2024) - [j83]Oscar Blessed Deho, Lin Liu, Jiuyong Li, Jixue Liu, Chen Zhan, Srecko Joksimovic:
When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. IEEE Trans. Learn. Technol. 17: 1007-1020 (2024) - [j82]Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, Jiuyong Li:
Causal Feature Selection With Dual Correction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 938-951 (2024) - 2023
- [j81]Michael Bewong, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot:
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text. IEEE Access 11: 32826-32841 (2023) - [j80]Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu:
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. Appl. Intell. 53(7): 8180-8194 (2023) - [j79]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Personalized Interventions to Increase the Employment Success of People With Disability. IEEE Trans. Big Data 9(6): 1561-1574 (2023) - [j78]Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu:
Integrating Global and Local Feature Selection for Multi-Label Learning. ACM Trans. Knowl. Discov. Data 17(1): 4:1-4:37 (2023) - [j77]Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu:
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation. ACM Trans. Knowl. Discov. Data 17(9): 134:1-134:28 (2023) - [j76]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 2750-2764 (2023) - [j75]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le:
Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(9): 8823-8837 (2023) - [j74]Xianjie Guo, Kui Yu, Lin Liu, Pei-Pei Li, Jiuyong Li:
Adaptive Skeleton Construction for Accurate DAG Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10526-10539 (2023) - [j73]Oscar Blessed Deho, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu, Lin Liu:
Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. IEEE Trans. Learn. Technol. 16(4): 560-572 (2023) - [j72]Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li:
Multilabel Feature Selection: A Local Causal Structure Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3044-3057 (2023) - [j71]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6108-6120 (2023) - 2022
- [j70]Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le:
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? Br. J. Educ. Technol. 53(4): 822-843 (2022) - [j69]Andrew Zamecnik, Vitomir Kovanovic, Srecko Joksimovic, Lin Liu:
Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Comput. Educ. Artif. Intell. 3: 100051 (2022) - [j68]Weijia Zhang, Jiuyong Li, Lin Liu:
A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. ACM Comput. Surv. 54(8): 162:1-162:36 (2022) - [j67]Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu:
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36(3): 1174-1196 (2022) - [j66]Jixue Liu, Jiuyong Li, Lin Liu:
FastOPM - A practical method for partial match of time series. Pattern Recognit. 130: 108808 (2022) - [j65]Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li:
Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. 163: 92-95 (2022) - [j64]Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu:
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16(5): 93:1-93:25 (2022) - 2021
- [j63]Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le:
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. 22(3) (2021) - [j62]Andres M. Cifuentes-Bernal, Vu Viet Hoang Pham, Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le:
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. Bioinform. 37(6): 807-814 (2021) - [j61]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. 37(19): 3285-3292 (2021) - [j60]Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le:
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. BMC Bioinform. 22(1): 300 (2021) - [j59]Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le:
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. BMC Bioinform. 22(1): 578 (2021) - [j58]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53(5): 111:1-111:36 (2021) - [j57]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. Int. J. Data Sci. Anal. 11(2): 127-139 (2021) - [j56]Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data 15(4): 63:1-63:46 (2021) - 2020
- [j55]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
Detecting potential signals of adverse drug events from prescription data. Artif. Intell. Medicine 104: 101839 (2020) - [j54]Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le:
Correction to: Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. 21(1): 32 (2020) - [j53]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. J. Biomed. Informatics 112: 103603 (2020) - [j52]Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Accurate data-driven prediction does not mean high reproducibility. Nat. Mach. Intell. 2(1): 13-15 (2020) - [j51]Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le:
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2240-2256 (2020) - [j50]Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le:
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Comput. Biol. 16(4) (2020) - [j49]Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le:
A novel single-cell based method for breast cancer prognosis. PLoS Comput. Biol. 16(8) (2020) - [j48]Kui Yu, Lin Liu, Jiuyong Li:
Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2005-2019 (2020) - [j47]Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li:
Leveraging burst in twitter network communities for event detection. World Wide Web 23(5): 2851-2876 (2020) - 2019
- [j46]Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. Briefings Bioinform. 20(4): 1403-1419 (2019) - [j45]Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le:
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinform. 20(1): 143:1-143:12 (2019) - [j44]Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le:
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. BMC Bioinform. 20(1): 235:1-235:12 (2019) - [j43]Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le:
Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. 20-S(23): 613 (2019) - [j42]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo:
A relative privacy model for effective privacy preservation in transactional data. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j41]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering context specific causal relationships. Intell. Data Anal. 23(4): 917-931 (2019) - [j40]Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray:
Identifying key factors of student academic performance by subgroup discovery. Int. J. Data Sci. Anal. 7(3): 227-245 (2019) - [j39]Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le:
Data-driven discovery of causal interactions. Int. J. Data Sci. Anal. 8(3): 285-297 (2019) - [j38]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Privacy preserving serial publication of transactional data. Inf. Syst. 82: 53-70 (2019) - [j37]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le:
CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Comput. Biol. 15(12) (2019) - [j36]Selasi Kwashie, Jixue Liu, Jiuyong Li, Lin Liu, Markus Stumptner, Lujing Yang:
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs). Proc. VLDB Endow. 12(6): 653-666 (2019) - [j35]Thuc Duy 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 Trans. Comput. Biol. Bioinform. 16(5): 1483-1495 (2019) - [j34]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu:
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10(5): 52:1-52:25 (2019) - 2018
- [j33]Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le:
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. Bioinform. 34(24): 4232-4240 (2018) - [j32]Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinform. 19-S(19): 61-72 (2018) - [j31]Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le:
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. 19-S(19): 179-188 (2018) - [j30]Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash:
Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. 6(1): 1-2 (2018) - [j29]Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li:
Multi-label relational classification via node and label correlation. Neurocomputing 292: 72-81 (2018) - [j28]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
A data-driven method to detect adverse drug events from prescription data. J. Biomed. Informatics 85: 10-20 (2018) - [j27]Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer:
Collective behavior learning by differentiating personal preference from peer influence. Knowl. Based Syst. 159: 233-243 (2018) - [j26]Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long:
Predicting academic performance by considering student heterogeneity. Knowl. Based Syst. 161: 134-146 (2018) - [j25]Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen:
Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6333-6347 (2018) - 2017
- [j24]Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li:
Computational methods for identifying miRNA sponge interactions. Briefings Bioinform. 18(4): 577-590 (2017) - [j23]Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li:
Mining heterogeneous causal effects for personalized cancer treatment. Bioinform. 33(15): 2372-2378 (2017) - [j22]Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li:
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. 33(19): 3131-3133 (2017) - [j21]Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer. BMC Bioinform. 18(1): 243:1-243:12 (2017) - [j20]Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Identifying miRNA sponge modules using biclustering and regulatory scores. BMC Bioinform. 18(S-3): 61-72 (2017) - [j19]Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green:
Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data. Health Inf. Sci. Syst. 5(1): 5 (2017) - [j18]Jiuyong Li, Kun Zhang, Elias Bareinboim, Lin Liu:
Guest editorial: special issue on causal discovery. Int. J. Data Sci. Anal. 3(2): 79-80 (2017) - [j17]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
Forensic taxonomy of android productivity apps. Multim. Tools Appl. 76(3): 3313-3341 (2017) - [j16]Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu:
Causal Decision Trees. IEEE Trans. Knowl. Data Eng. 29(2): 257-271 (2017) - [j15]Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li:
Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. IEEE Trans. Multim. 19(8): 1848-1859 (2017) - 2016
- [j14]S. M. Masud Karim, Lin Liu, Thuc Duy Le, Jiuyong Li:
Identification of miRNA-mRNA regulatory modules by exploring collective group relationships. BMC Genom. 17(S-1): 7 (2016) - [j13]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
Android mobile VoIP apps: a survey and examination of their security and privacy. Electron. Commer. Res. 16(1): 73-111 (2016) - [j12]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Mining combined causes in large data sets. Knowl. Based Syst. 92: 104-111 (2016) - [j11]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma:
From Observational Studies to Causal Rule Mining. ACM Trans. Intell. Syst. Technol. 7(2): 14:1-14:27 (2016) - 2015
- [j10]Thuc Duy Le, Lin Liu, Junpeng Zhang, Bing Liu, Jiuyong Li:
From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges. Briefings Bioinform. 16(3): 475-496 (2015) - 2014
- [j9]Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li:
Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data. Bioinform. 30(21): 3070-3077 (2014) - [j8]Junpeng Zhang, Thuc Duy Le, Lin Liu, Bing Liu, Jianfeng He, Gregory J. Goodall, Jiuyong Li:
Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data. J. Biomed. Informatics 52: 438-447 (2014) - [j7]Junxian Liu, Lin Liu:
A Coloured Petri Net Approach to the Functional and Performance Analysis of SIP Non-INVITE Transaction. Trans. Petri Nets Other Model. Concurr. 9: 147-177 (2014) - 2013
- [j6]Thuc Duy Le, Lin Liu, Anna Tsykin, Gregory J. Goodall, Bing Liu, Bing-Yu Sun, Jiuyong Li:
Inferring microRNA-mRNA causal regulatory relationships from expression data. Bioinform. 29(6): 765-771 (2013) - [j5]Thuc Duy Le, Lin Liu, Bing Liu, Anna Tsykin, Gregory J. Goodall, Kenji Satou, Jiuyong Li:
Inferring microRNA and transcription factor regulatory networks in heterogeneous data. BMC Bioinform. 14: 92 (2013) - 2010
- [j4]Bing Liu, Lin Liu, Anna Tsykin, Gregory J. Goodall, Jeffrey E. Green, Min Zhu, Chang-Hee Kim, Jiuyong Li:
Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation. Bioinform. 26(24): 3105-3111 (2010) - 2009
- [j3]Bing Liu, Jiuyong Li, Anna Tsykin, Lin Liu, Arti B. Gaur, Gregory J. Goodall:
Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy. BMC Bioinform. 10: 408 (2009) - 2007
- [j2]Lin Liu, Jonathan Billington:
Verification of the Capability Exchange Signalling protocol. Int. J. Softw. Tools Technol. Transf. 9(3-4): 305-326 (2007) - 2000
- [j1]Heping Pan, Lin Liu:
Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks. Int. J. Pattern Recognit. Artif. Intell. 14(7): 941-962 (2000)
Conference and Workshop Papers
- 2023
- [c62]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI 2023: 7122-7130 - [c61]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. AAAI 2023: 10666-10674 - [c60]Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Causal Disentanglement for Adversarial Defense. AI (1) 2023: 315-327 - [c59]Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh:
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. IEEE Big Data 2023: 1064-1069 - [c58]Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du:
How Many Features Do We Need to Identify Bots on Twitter? iConference (1) 2023: 312-327 - [c57]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters:
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments. KDD 2023: 4970-4980 - [c56]Oscar Blessed Deho, Srecko Joksimovic, Lin Liu, Jiuyong Li, Chen Zhan, Jixue Liu:
Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. L@S 2023: 48-58 - [c55]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) 2023: 471-482 - [c54]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) 2023: 525-540 - [c53]Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng:
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE 2023: 723-732 - 2022
- [c52]Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Randomize Adversarial Defense in a Light Way. IEEE Big Data 2022: 1080-1089 - [c51]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Decision Support for Disability Employment using Counterfactual Survival Analysis. IEEE Big Data 2022: 2103-2112 - [c50]Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu:
Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. GoodIT 2022: 32-38 - [c49]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI 2022: 4843-4849 - [c48]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? KDD 2022: 3981-3991 - [c47]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c46]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2022: 1-2 - [c45]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. PAKDD (3) 2022: 92-104 - [c44]Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing Classifier Fairness with Collider Bias. PAKDD (2) 2022: 262-276 - 2021
- [c43]Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment Effect Estimation with Disentangled Latent Factors. AAAI 2021: 10923-10930 - [c42]Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu:
Training Neural Networks with Random Noise Images for Adversarial Robustness. CIKM 2021: 3358-3362 - [c41]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. ICBK 2021: 125-132 - [c40]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. KDD 2021: 3616-3626 - 2020
- [c39]Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le:
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA 2020: 395-409 - [c38]Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu:
Building Fair Predictive Models. Australasian Conference on Artificial Intelligence 2020: 216-229 - [c37]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Intervention Recommendation for Improving Disability Employment. IEEE BigData 2020: 1671-1680 - [c36]Weijia Zhang, Lin Liu, Jiuyong Li:
Robust Multi-Instance Learning with Stable Instances. ECAI 2020: 1682-1689 - [c35]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal Query in Observational Data with Hidden Variables. ECAI 2020: 2551-2558 - [c34]Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2020: 1-3 - [c33]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) 2020: 660-673 - [c32]Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
Evidence Weighted Tree Ensembles for Text Classification. SIGIR 2020: 1737-1740 - 2019
- [c31]Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
A Semantics Aware Random Forest for Text Classification. CIKM 2019: 1061-1070 - [c30]Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang:
Semantic Explanations in Ensemble Learning. PAKDD (1) 2019: 29-41 - [c29]Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li:
A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. WWW 2019: 2565-2571 - 2018
- [c28]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le:
Effective Outlier Detection based on Bayesian Network and Proximity. IEEE BigData 2018: 134-139 - [c27]Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu:
Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2018: 1-3 - [c26]Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li:
ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. PAKDD (Workshops) 2018: 207-218 - [c25]Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li:
Information Propagation Trees for Protest Event Prediction. PAKDD (3) 2018: 777-789 - [c24]Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li:
SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection. WISE (1) 2018: 281-296 - [c23]Zan Zhang, Jiuyong Li, Hao Wang, Lin Liu, Jixue Liu:
Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based? WISE (1) 2018: 364-380 - 2017
- [c22]Wei Kang, Jie Chen, Jiuyong Li, Jixue Liu, Lin Liu, Grant Osborne, Nick Lothian, Brenton Cooper, Terry Moschou, Grant Neale:
Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media. ADMA 2017: 859-865 - [c21]Junxian Liu, Lin Liu, Tao Chen:
Evaluating and Improving SIP Non-INVITE Transaction to Alleviate the Losing Race Problem. Petri Nets 2017: 57-77 - [c20]Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han:
Discrimination detection by causal effect estimation. IEEE BigData 2017: 1087-1094 - [c19]Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li:
Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. CSBio 2017: 34-41 - [c18]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Utility Aware Clustering for Publishing Transactional Data. PAKDD (2) 2017: 481-494 - [c17]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo:
A Relative Privacy Model for Effective Privacy Preservation in Transactional Data. TrustCom/BigDataSE/ICESS 2017: 394-401 - 2016
- [c16]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
An Android Social App Forensics Adversary Model. HICSS 2016: 5597-5606 - 2015
- [c15]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
Forensic Taxonomy of Popular Android mHealth Apps. AMCIS 2015 - 2014
- [c14]S. M. Masud Karim, Lin Liu, Jiuyong Li:
Discovering Collective Group Relationships. ADC 2014: 110-121 - [c13]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
A Study of Ten Popular Android Mobile VoIP Applications: Are the Communications Encrypted? HICSS 2014: 4858-4867 - 2013
- [c12]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun:
Mining Causal Association Rules. ICDM Workshops 2013: 114-123 - [c11]Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao:
Exploring Groups from Heterogeneous Data via Sparse Learning. PAKDD (1) 2013: 556-567 - 2012
- [c10]Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang:
Discovery of Causal Rules Using Partial Association. ICDM 2012: 309-318 - 2011
- [c9]Lin Liu:
Uncovering SIP Vulnerabilities to DoS Attacks Using Coloured Petri Nets. TrustCom 2011: 29-36 - 2010
- [c8]Zhujin Zhang, Lin Liu, Jiuyong Li, Zheng Zhang:
Spectral representation of DNA sequences and its application. BIC-TA 2010: 1023-1027 - 2009
- [c7]Lin Liu:
Verification of the SIP Transaction Using Coloured Petri Nets. ACSC 2009: 63-72 - [c6]Lin Liu, Jonathan Billington:
Recursive Parametric Automata and epsilon-Removal. FMOODS/FORTE 2009: 90-105 - 2008
- [c5]Lay G. Ding, Lin Liu:
Modelling and Analysis of the INVITE Transaction of the Session Initiation Protocol Using Coloured Petri Nets. Petri Nets 2008: 132-151 - 2007
- [c4]Lin Liu, Jonathan Billington:
Symbolic Language Representations for Parametric Verification of the Revised Capability Exchange Signalling Protocol. PDCAT 2007: 480-487 - 2004
- [c3]Lin Liu, Jonathan Billington:
Reducing Parametric Automata: A Multimedia Protocol Service Case Study. ATVA 2004: 483-486 - [c2]Lin Liu, Jonathan Billington:
Obtaining the Service Language for H.245's Multimedia Capability Exchange Signalling Protocol: the Final Step. MMM 2004: 323- - 2002
- [c1]Lin Liu, Jonathan Billington:
Tackling the Infinite State Space of a Multimedia Control Protocol Service Specification. ICATPN 2002: 273-293
Editorship
- 2022
- [e6]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA. Proceedings of Machine Learning Research 185, PMLR 2022 [contents] - 2020
- [e5]Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), San Diego, CA, USA, 24 August 2020. Proceedings of Machine Learning Research 127, PMLR 2020 [contents] - 2019
- [e4]Thuc Duy Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams:
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Communications in Computer and Information Science 1127, Springer 2019, ISBN 978-981-15-1698-6 [contents] - 2018
- [e3]Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams:
Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers. Communications in Computer and Information Science 845, Springer 2018, ISBN 978-981-13-0291-6 [contents] - [e2]Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu:
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2018, London, UK, 20 August 2018. Proceedings of Machine Learning Research 92, PMLR 2018 [contents] - 2014
- [e1]Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao:
Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014. CRPIT 158, Australian Computer Society 2014, ISBN 978-1-921770-17-3 [contents]
Informal and Other Publications
- 2023
- [i43]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - [i42]Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu:
Linking a predictive model to causal effect estimation. CoRR abs/2304.04566 (2023) - [i41]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR abs/2304.11969 (2023) - [i40]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR abs/2306.12453 (2023) - [i39]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR abs/2310.01865 (2023) - [i38]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR abs/2310.01937 (2023) - [i37]Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng:
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR abs/2312.05404 (2023) - [i36]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR abs/2312.07175 (2023) - 2022
- [i35]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral instrument method for causal inference without a causal graph. CoRR abs/2201.03810 (2022) - [i34]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR abs/2206.01931 (2022) - [i33]Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu:
Explanatory causal effects for model agnostic explanations. CoRR abs/2206.11529 (2022) - [i32]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR abs/2208.09147 (2022) - [i31]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR abs/2208.09590 (2022) - [i30]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments using Deep Generative Models. CoRR abs/2211.16246 (2022) - 2021
- [i29]Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li:
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR abs/2103.06544 (2021) - [i28]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li:
Any Part of Bayesian Network Structure Learning. CoRR abs/2103.13810 (2021) - [i27]Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR abs/2112.10369 (2021) - 2020
- [i26]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal query in observational data with hidden variables. CoRR abs/2001.10269 (2020) - [i25]Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment effect estimation with disentangled latent factors. CoRR abs/2001.10652 (2020) - [i24]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Towards precise causal effect estimation from data with hidden variables. CoRR abs/2002.10091 (2020) - [i23]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. CoRR abs/2003.11940 (2020) - [i22]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
Computational methods for cancer driver discovery: A survey. CoRR abs/2007.00887 (2020) - [i21]Weijia Zhang, Jiuyong Li, Lin Liu:
A unified survey on treatment effect heterogeneity modeling and uplift modeling. CoRR abs/2007.12769 (2020) - [i20]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu:
Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR abs/2009.06444 (2020) - [i19]Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing the Fairness of Classifiers with Collider Bias. CoRR abs/2010.03933 (2020) - [i18]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning causal representations for robust domain adaptation. CoRR abs/2011.06317 (2020) - [i17]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Dependency-based Anomaly Detection: Framework, Methods and Benchmark. CoRR abs/2011.06716 (2020) - 2019
- [i16]Weijia Zhang, Jiuyong Li, Lin Liu:
Distributionally Robust Multi-instance Learning with Stable Instances. CoRR abs/1902.05066 (2019) - [i15]Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han:
Identify treatment effect patterns for personalised decisions. CoRR abs/1906.06080 (2019) - [i14]Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong:
Linking Graph Entities with Multiplicity and Provenance. CoRR abs/1908.04464 (2019) - [i13]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. CoRR abs/1911.07147 (2019) - 2018
- [i12]Kui Yu, Lin Liu, Jiuyong Li:
Discovering Markov Blanket from Multiple interventional Datasets. CoRR abs/1801.08295 (2018) - [i11]Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. CoRR abs/1802.05844 (2018) - [i10]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering Context Specific Causal Relationships. CoRR abs/1808.06316 (2018) - [i9]Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li:
FairMod - Making Predictive Models Discrimination Aware. CoRR abs/1811.01480 (2018) - [i8]Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong:
An exploration of algorithmic discrimination in data and classification. CoRR abs/1811.02994 (2018) - 2016
- [i7]Jiuyong Li, Lin Liu, Jixue Liu, Ryan Green:
Building Diversified Multiple Trees for Classification in High Dimensional Noise Data. CoRR abs/1612.05888 (2016) - 2015
- [i6]Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu:
A fast PC algorithm for high dimensional causal discovery with multi-core PCs. CoRR abs/1502.02454 (2015) - [i5]Abdullah Azfar, Kim-Kwang Raymond Choo, Lin Liu:
Forensic Taxonomy of Popular Android mHealth Apps. CoRR abs/1505.02905 (2015) - [i4]Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu:
Causal Decision Trees. CoRR abs/1508.03812 (2015) - [i3]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma:
From Observational Studies to Causal Rule Mining. CoRR abs/1508.03819 (2015) - [i2]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Mining Combined Causes. CoRR abs/1508.07092 (2015) - [i1]Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu:
ParallelPC: an R package for efficient constraint based causal exploration. CoRR abs/1510.03042 (2015)
Coauthor Index
[b1] [j86] [j85] [j80] [j79] [j75] [j71] [j70] [j67] [j63] [j62] [j61] [j60] [j59] [j57] [j54] [j52] [j51] [j50] [j49] [j46] [j45] [j44] [j43] [j41] [j39] [j37] [j35] [j33] [j32] [j31] [j24] [j23] [j22] [j21] [j20] [j16] [j15] [j14] [j12] [j11] [j10] [j9] [j8] [j6] [j5] [c62] [c59] [c57] [c54] [c51] [c49] [c48] [c47] [c46] [c45] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c28] [c27] [c26] [c20] [c19] [c12] [c10] [e6] [e5] [e4] [e2] [i42] [i40] [i39] [i36] [i35] [i34] [i33] [i31] [i30] [i26] [i24] [i23] [i22] [i17] [i15] [i10] [i9] [i8] [i6] [i4] [i3] [i2] [i1]
[b1] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j16] [j15] [j14] [j12] [j11] [j10] [j9] [j8] [j6] [j5] [j4] [j3] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c14] [c12] [c11] [c10] [c8] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i4] [i3] [i2] [i1]
[j86] [j85] [j83] [j81] [j80] [j79] [j75] [j73] [j71] [j70] [j67] [j66] [j57] [j52] [j47] [j42] [j38] [j36] [j19] [j16] [j11] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c45] [c44] [c42] [c41] [c40] [c38] [c37] [c35] [c33] [c32] [c31] [c30] [c25] [c24] [c23] [c22] [c20] [c18] [c17] [c12] [c11] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i26] [i24] [i23] [i20] [i19] [i17] [i15] [i14] [i9] [i8] [i7] [i4] [i3]
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