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2020 – today
- 2024
[j51]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)- [j50]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) - [j49]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11542-11552 (2024) - [c34]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. AAAI 2024: 11480-11488 - [c33]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR 2024 - [c32]Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu:
Robust COVID-19 Detection in CT Images with CLIP. MIPR 2024: 586-592 - [i26]Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu:
Robust COVID-19 Detection in CT Images with CLIP. CoRR abs/2403.08947 (2024) - [i25]Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen:
A Deconfounding Approach to Climate Model Bias Correction. CoRR abs/2408.12063 (2024) - [i24]Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen:
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR abs/2409.19871 (2024) - 2023
- [j48]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) - [j47]Junpeng Zhang, Lin Liu, Xuemei Wei, Chunwen Zhao, Sijing Li, Jiuyong Li, Thuc Duy Le:
Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers. PLoS Comput. Biol. 19(10) (2023) - [j46]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) - [j45]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) - [j44]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) - [c31]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 - [c30]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 - [c29]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 - [c28]Thuc Duy Le:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023). KDD 2023: 5865-5866 - [c27]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD 2023: 1-2 - [c26]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 - [e7]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA. Proceedings of Machine Learning Research 218, PMLR 2023 [contents] - [i23]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) - [i22]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) - [i21]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) - [i20]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
- [j43]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) - [j42]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) - [c25]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 - [c24]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 - [c23]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 - [c22]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c21]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 - [c20]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 - [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] - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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
- [j41]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) - [j40]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) - [j39]Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh:
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37(8): 1140-1147 (2021) - [j38]Mandar S. Chaudhary, Vu Viet Hoang Pham, Thuc Duy Le:
NIBNA: a network-based node importance approach for identifying breast cancer drivers. Bioinform. 37(17): 2521-2528 (2021) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le:
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2841-2847 (2021) - [c19]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 - [c18]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2021: 1-2 - [c17]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 - [c16]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery (CD2021). KDD 2021: 4141-4142 - [e5]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. Proceedings of Machine Learning Research 150, PMLR 2021 [contents] - 2020
- [j32]Jianhan Pan, Teng Cui, Thuc Duy Le, Xiaomei Li, Jing Zhang:
Multi-Group Transfer Learning on Multiple Latent Spaces for Text Classification. IEEE Access 8: 64120-64130 (2020) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh:
MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) 2020: 87-94 - [c10]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 - [c9]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) 2020: 660-673 - [e4]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] - [i14]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) - [i13]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) - [i12]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. CoRR abs/2003.11940 (2020) - [i11]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) - [i10]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Dependency-based Anomaly Detection: Framework, Methods and Benchmark. CoRR abs/2011.06716 (2020)
2010 – 2019
- 2019
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering context specific causal relationships. Intell. Data Anal. 23(4): 917-931 (2019) - [j21]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) - [j20]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) - [j19]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) - [c8]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2019: 1-3 - [e3]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] - [e2]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019. Proceedings of Machine Learning Research 104, PMLR 2019 [contents] - [i9]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) - 2018
- [j18]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) - [j17]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) - [j16]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) - [c7]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le:
Effective Outlier Detection based on Bayesian Network and Proximity. IEEE BigData 2018: 134-139 - [c6]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 - [c5]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 - [e1]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] - [i8]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering Context Specific Causal Relationships. CoRR abs/1808.06316 (2018) - [i7]Jixue Liu, Jiuyong Li, Lin Liu, Thuc Duy Le, Feiyue Ye, Gefei Li:
FairMod - Making Predictive Models Discrimination Aware. CoRR abs/1811.01480 (2018) - [i6]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) - 2017
- [j15]Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li:
Computational methods for identifying miRNA sponge interactions. Briefings Bioinform. 18(4): 577-590 (2017) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu:
Causal Decision Trees. IEEE Trans. Knowl. Data Eng. 29(2): 257-271 (2017) - [j9]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) - [c4]Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han:
Discrimination detection by causal effect estimation. IEEE BigData 2017: 1087-1094 - [c3]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 - 2016
- [j8]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) - [j7]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Mining combined causes in large data sets. Knowl. Based Syst. 92: 104-111 (2016) - [j6]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
- [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 - [j5]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) - [i5]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) - [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) - 2014
- [j4]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) - [j3]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) - 2013
- [j2]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) - [j1]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) - [c2]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun:
Mining Causal Association Rules. ICDM Workshops 2013: 114-123 - 2012
- [c1]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
Coauthor Index
[j51] [j50] [j49] [c34] [c33] [i25] [i24] [j48] [j47] [j46] [j45] [j44] [c31] [c30] [c29] [c27] [c26] [e7] [i23] [i22] [i21] [i20] [j43] [j42] [c25] [c24] [c23] [c20] [i19] [i18] [i17] [i16] [i15] [j41] [j40] [j37] [j36] [j35] [j34] [c19] [c18] [c17] [c16] [e5] [j31] [j30] [j29] [j28] [j27] [c15] [c14] [c13] [c12] [c9] [i14] [i13] [i12] [i11] [i10] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [c8] [e2] [i9] [j18] [j17] [j16] [c7] [c5] [i8] [i7] [i6] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c4] [c3] [j8] [j7] [j6] [b1] [j5] [i5] [i4] [i3] [i2] [i1] [j4] [j3] [j2] [j1] [c2] [c1]
[j51] [j50] [j49] [c34] [c33] [i25] [i24] [j48] [j47] [j46] [j45] [j44] [c31] [c30] [c29] [c26] [i23] [i22] [i21] [i20] [j43] [j42] [c25] [c24] [c23] [c22] [c21] [c20] [e6] [i19] [i18] [i17] [i16] [i15] [j41] [j40] [j37] [j36] [j35] [j34] [c19] [c17] [j31] [j30] [j29] [j28] [j27] [c15] [c14] [c13] [c12] [c10] [c9] [e4] [i14] [i13] [i12] [i11] [i10] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [e3] [i9] [j18] [j17] [j16] [c7] [c6] [c5] [e1] [i8] [i7] [i6] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c4] [c3] [j8] [j7] [j6] [b1] [j5] [i5] [i4] [i3] [i2] [i1] [j4] [j3] [j2] [j1] [c2] [c1]
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