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2020 – today
- 2025
[j131]Guixian Zhang
, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025)- 2024
- [j130]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) - [j129]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) - [j128]Zhining Shi, Christopher W. K. Chow, Jing Gao, Ke Xing, Jixue Liu, Jiuyong Li:
Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations. Sensors 24(6): 1857 (2024) - [j127]Sha Lu, Eriita G. Jones, Liang Zhao, Yu Sun, A. Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O'Hehir, Stefan Peters:
Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9629-9640 (2024) - [j126]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) - [j125]Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu:
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning. IEEE Trans. Knowl. Data Eng. 36(12): 9065-9079 (2024) - [j124]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) - [j123]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) - [j122]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) - [c117]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 - [c116]Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li:
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. AAAI 2024: 12235-12243 - [c115]Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang:
Multi-view Graph Neural Network for Fair Representation Learning. APWeb/WAIM (3) 2024: 208-223 - [c114]David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu:
Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness. CIKM 2024: 560-569 - [c113]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 - [c112]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR 2024 - [i57]Jixue Liu, Jiuyong Li, Stefan Peters, Liang Zhao:
A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery. CoRR abs/2406.13105 (2024) - [i56]Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng:
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR abs/2408.07219 (2024) - [i55]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR abs/2408.09646 (2024) - [i54]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu:
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR abs/2408.09651 (2024) - [i53]Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen:
Estimating Peer Direct and Indirect Effects in Observational Network Data. CoRR abs/2408.11492 (2024) - [i52]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) - [i51]Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic:
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift. CoRR abs/2409.12428 (2024) - [i50]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) - [i49]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR abs/2409.20052 (2024) - [i48]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Towards Fair Graph Representation Learning in Social Networks. CoRR abs/2410.11493 (2024) - [i47]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. CoRR abs/2410.12366 (2024) - [i46]Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du:
Mitigating Dual Latent Confounding Biases in Recommender Systems. CoRR abs/2410.12451 (2024) - [i45]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Linking Model Intervention to Causal Interpretation in Model Explanation. CoRR abs/2410.15648 (2024) - 2023
- [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [c111]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 - [c110]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. AAAI 2023: 10666-10674 - [c109]Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Causal Disentanglement for Adversarial Defense. AI (1) 2023: 315-327 - [c108]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 - [c107]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. ICDM 2023: 51-60 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - [e11]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] - [i44]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - [i43]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) - [i42]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) - [i41]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) - [i40]Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Norman Mueller, Simon Oliver:
Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery. CoRR abs/2310.01711 (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
- [j109]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) - [j108]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) - [j107]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) - [j106]Jixue Liu, Jiuyong Li, Lin Liu:
FastOPM - A practical method for partial match of time series. Pattern Recognit. 130: 108808 (2022) - [j105]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) - [j104]Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Simon Oliver, Norman Mueller:
Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model. Remote. Sens. 14(13): 3047 (2022) - [j103]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) - [c100]Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Randomize Adversarial Defense in a Light Way. IEEE Big Data 2022: 1080-1089 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [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
- [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [c93]Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment Effect Estimation with Disentangled Latent Factors. AAAI 2021: 10923-10930 - [c92]Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu:
Training Neural Networks with Random Noise Images for Adversarial Robustness. CIKM 2021: 3358-3362 - [c91]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 - [c90]Jiuyong Li, Aniello Castiglione:
Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: xxi - [c89]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 - [c88]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 - [c87]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 - [e10]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] - [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
- [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [c86]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 - [c85]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 - [c84]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 - [c83]Weijia Zhang, Lin Liu, Jiuyong Li:
Robust Multi-Instance Learning with Stable Instances. ECAI 2020: 1682-1689 - [c82]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 - [c81]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) 2020: 660-673 - [c80]Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
Evidence Weighted Tree Ensembles for Text Classification. SIGIR 2020: 1737-1740 - [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)
2010 – 2019
- 2019
- [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering context specific causal relationships. Intell. Data Anal. 23(4): 917-931 (2019) - [j79]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) - [j78]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) - [j77]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Privacy preserving serial publication of transactional data. Inf. Syst. 82: 53-70 (2019) - [j76]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) - [j75]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) - [j74]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) - [j73]Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui:
Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 10(5): 45:1-45:3 (2019) - [c79]Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
A Semantics Aware Random Forest for Text Classification. CIKM 2019: 1061-1070 - [c78]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 - [c77]Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang:
Semantic Explanations in Ensemble Learning. PAKDD (1) 2019: 29-41 - [c76]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 - [e9]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] - [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
- [j72]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) - [j71]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) - [j70]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) - [j69]Tao Hoang, Jixue Liu, Elizabeth Roughead, Nicole Pratt, Jiuyong Li:
Supervised signal detection for adverse drug reactions in medication dispensing data. Comput. Methods Programs Biomed. 161: 25-38 (2018) - [j68]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) - [j67]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 101-115 (2018) - [j66]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 157-171 (2018) - [j65]Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li:
Multi-label relational classification via node and label correlation. Neurocomputing 292: 72-81 (2018) - [j64]Junqiang Liu, Xingxing Zhang, Benjamin C. M. Fung, Jiuyong Li, Farkhund Iqbal:
Opportunistic mining of top-n high utility patterns. Inf. Sci. 441: 171-186 (2018) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]Huawen Liu, Xuelong Li, Jiuyong Li, Shichao Zhang:
Efficient Outlier Detection for High-Dimensional Data. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2451-2461 (2018) - [c75]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le:
Effective Outlier Detection based on Bayesian Network and Proximity. IEEE BigData 2018: 134-139 - [c74]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 - [c73]Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li:
Information Propagation Trees for Protest Event Prediction. PAKDD (3) 2018: 777-789 - [c72]Mark J. Carman, Mark Koerber, Jiuyong Li, Kim-Kwang Raymond Choo, Helen Ashman:
Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting. TrustCom/BigDataSE 2018: 184-190 - [c71]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 - [c70]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 - [e8]Zhongzhi Shi, Eunika Mercier-Laurent, Jiuyong Li:
Intelligent Information Processing IX - 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings. IFIP Advances in Information and Communication Technology 538, Springer 2018, ISBN 978-3-030-00827-7 [contents] - [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) - 2017
- [j58]Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li:
Computational methods for identifying miRNA sponge interactions. Briefings Bioinform. 18(4): 577-590 (2017) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu:
Causal Decision Trees. IEEE Trans. Knowl. Data Eng. 29(2): 257-271 (2017) - [j50]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) - [c69]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 - [c68]Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Saisai Ma, Yizhao Han:
Discrimination detection by causal effect estimation. IEEE BigData 2017: 1087-1094 - [c67]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 - [c66]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Utility Aware Clustering for Publishing Transactional Data. PAKDD (2) 2017: 481-494 - [c65]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 - [c64]Jiuyong Li:
Beyond Understanding and Prediction: Data Mining for Action. WWW (Companion Volume) 2017: 1361 - 2016
- [j49]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Detecting signals of detrimental prescribing cascades from social media. Artif. Intell. Medicine 71: 43-56 (2016) - [j48]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) - [j47]Jiuyong Li, Muzammil M. Baig, A. H. M. Sarowar Sattar, Xiaofeng Ding, Jixue Liu, Millist W. Vincent:
A hybrid approach to prevent composition attacks for independent data releases. Inf. Sci. 367-368: 324-336 (2016) - [j46]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Mining combined causes in large data sets. Knowl. Based Syst. 92: 104-111 (2016) - [j45]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) - [j44]Kun Zhang, Jiuyong Li, Elias Bareinboim, Bernhard Schölkopf, Judea Pearl:
Preface to the ACM TIST Special Issue on Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 7(2): 17:1-17:3 (2016) - [j43]Ke Deng, Jianxin Li, Chaoyi Pang, Jiuyong Li, Xiaofang Zhou:
Access Time Oracle for Planar Graphs. IEEE Trans. Knowl. Data Eng. 28(8): 1959-1970 (2016) - [c63]Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman:
An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. ADC 2016: 283-294 - [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
- [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 - [j42]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) - [j41]Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin:
R-U policy frontiers for health data de-identification. J. Am. Medical Informatics Assoc. 22(5): 1029-1041 (2015) - [j40]Youqiang Sun, Jiuyong Li, Jixue Liu, Christopher W. K. Chow, Bing-Yu Sun, Rujing Wang:
Using causal discovery for feature selection in multivariate numerical time series. Mach. Learn. 101(1-3): 377-395 (2015) - [j39]Bing-Yu Sun, Hailei Wang, Wenbo Li, Hui-Jing Wang, Jiuyong Li, Zhiqiang Du:
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression. Neural Process. Lett. 41(1): 139-155 (2015) - [c62]Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye:
Conditional Differential Dependencies (CDDs). ADBIS 2015: 3-17 - [c61]Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye:
Efficient Discovery of Differential Dependencies Through Association Rules Mining. ADC 2015: 3-15 - [c60]Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu:
Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation. ADC 2015: 41-53 - [c59]Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li:
Efficient Mining of Non-derivable Emerging Patterns. ADC 2015: 244-256 - [c58]Junqiang Liu, Jiuyong Li, Shijian Xu, Benjamin C. M. Fung:
Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption. DaWaK 2015: 70-81 - [c57]Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu:
STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction. ICDS 2015: 103-111 - [p4]Jiuyong Li, Sarowar A. Sattar, Muzammil M. Baig, Jixue Liu, Raymond Heatherly, Qiang Tang, Bradley A. Malin:
Methods to Mitigate Risk of Composition Attack in Independent Data Publications. Medical Data Privacy Handbook 2015: 179-200 - [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]Jiuyong Li, Saisai Ma, Thuc Duy Le, Lin Liu, Jixue Liu:
Causal Decision Trees. CoRR abs/1508.03812 (2015) - [i4]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) - [i3]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Mining Combined Causes. CoRR abs/1508.07092 (2015) - [i2]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
- [j38]Bing Liu, Jiuyong Li, Murray J. Cairns:
Identifying miRNAs, targets and functions. Briefings Bioinform. 15(1): 1-19 (2014) - [j37]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) - [j36]Youqiang Sun, Jiuyong Li, Jixue Liu, Bing-Yu Sun, Christopher W. K. Chow:
An improvement of symbolic aggregate approximation distance measure for time series. Neurocomputing 138: 189-198 (2014) - [j35]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) - [j34]Jiuyong Li, Jixue Liu, Hannu Toivonen, Kenji Satou, Youqiang Sun, Bing-Yu Sun:
Discovering statistically non-redundant subgroups. Knowl. Based Syst. 67: 315-327 (2014) - [j33]A. H. M. Sarowar Sattar, Jiuyong Li, Jixue Liu, Raymond Heatherly, Bradley A. Malin:
A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments. Knowl. Based Syst. 67: 361-372 (2014) - [c56]Selasi Kwashie, Jixue Liu, Jiuyong Li, Feiyue Ye:
Mining Differential Dependencies: A Subspace Clustering Approach. ADC 2014: 50-61 - [c55]Vincent Mwintieru Nofong, Jixue Liu, Jiuyong Li:
A Study on the Applications of Emerging Sequential Patterns. ADC 2014: 62-73 - [c54]S. M. Masud Karim, Lin Liu, Jiuyong Li:
Discovering Collective Group Relationships. ADC 2014: 110-121 - [c53]Hong-Cheu Liu, Millist W. Vincent, Jixue Liu, Jiuyong Li:
Logics for Representing Data Mining Tasks in Inductive Databases. ADC 2014: 214-222 - [c52]Xiaofeng Ding, Jianhong Jia, Jiuyong Li, Jixue Liu, Hai Jin:
Top-k Similarity Matching in Large Graphs with Attributes. DASFAA (2) 2014: 156-170 - [e7]Ashfaqur Rahman, Jeremiah D. Deng, Jiuyong Li:
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014. ACM 2014, ISBN 978-1-4503-3159-3 [contents] - 2013
- [j32]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) - [j31]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) - [j30]Jiuyong Li, Jixue Liu, Hannu Toivonen, Jianming Yong:
Effective Pruning for the Discovery of Conditional Functional Dependencies. Comput. J. 56(3): 378-392 (2013) - [j29]Jixue Liu, Feiyue Ye, Jiuyong Li, Junhu Wang:
On discovery of functional dependencies from data. Data Knowl. Eng. 86: 146-159 (2013) - [j28]A. H. M. Sarowar Sattar, Jiuyong Li, Xiaofeng Ding, Jixue Liu, Millist W. Vincent:
A general framework for privacy preserving data publishing. Knowl. Based Syst. 54: 276-287 (2013) - [c51]Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu:
A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition. APWeb 2013: 151-162 - [c50]Jiuyong Li:
From Association Analysis to Causal Discovery. MLSDA@AUS-AI 2013: 1 - [c49]Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, Bradley A. Malin:
Efficient discovery of de-identification policy options through a risk-utility frontier. CODASPY 2013: 59-70 - [c48]Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin:
Distributed Anonymization for Multiple Data Providers in a Cloud System. DASFAA (1) 2013: 346-360 - [c47]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun:
Mining Causal Association Rules. ICDM Workshops 2013: 114-123 - [c46]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 - [e6]Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7867, Springer 2013, ISBN 978-3-642-40318-7 [contents] - [i1]Jixue Liu, Selasi Kwashie, Jiuyong Li, Feiyue Ye, Millist W. Vincent:
Discovery of Approximate Differential Dependencies. CoRR abs/1309.3733 (2013) - 2012
- [j27]Junpeng Zhang, Bing Liu, Jianfeng He, Lei Ma, Jiuyong Li:
Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model. Comput. Biol. Medicine 42(4): 428-437 (2012) - [j26]Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang:
Satisfying Privacy Requirements Before Data Anonymization. Comput. J. 55(4): 422-437 (2012) - [j25]Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang:
An approximate microaggregation approach for microdata protection. Expert Syst. Appl. 39(2): 2211-2219 (2012) - [j24]Vu Anh Tran, José Carlos Clemente, Duc Thuan Nguyen, Jiuyong Li, Xuan Tho Dang, Thi Tu Kien Le, Thi Lan Anh Nguyen, Thammakorn Saethang, Mamoru Kubo, Yoichi Yamada, Kenji Satou:
IMPACT: A Novel Clustering Algorithm based on Attraction. J. Comput. 7(3): 653-665 (2012) - [j23]Jixue Liu, Jiuyong Li, Chengfei Liu, Yongfeng Chen:
Discover Dependencies from Data - A Review. IEEE Trans. Knowl. Data Eng. 24(2): 251-264 (2012) - [c45]Qi Zhang, Junpeng Zhang, Jianmei Gao, Jianfeng He, Xinmin Yan, Lei Ma, Xianwen Zhang, Jiuyong Li:
A Study of the Single Point Mutation Loci in the Hepatitis B Virus Sequences via Optimal Risk and Preventive Sets with Weights. APWeb 2012: 460-471 - [c44]Muzammil M. Baig, Jiuyong Li, Jixue Liu, Xiaofeng Ding, Hua Wang:
Data Privacy against Composition Attack. DASFAA (1) 2012: 320-334 - [c43]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 - [c42]Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu:
Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework. SEC 2012: 400-411 - [e5]Yanchang Zhao, Jiuyong Li, Paul J. Kennedy, Peter Christen:
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012. CRPIT 134, Australian Computer Society 2012, ISBN 978-1-921770-14-2 [contents] - 2011
- [j22]Xiaoxun Sun, Hua Wang, Jiuyong Li, Yanchun Zhang:
Injecting purpose and trust into data anonymisation. Comput. Secur. 30(5): 332-345 (2011) - [j21]Xiaoxun Sun, Hua Wang, Jiuyong Li, Jian Pei:
Publishing anonymous survey rating data. Data Min. Knowl. Discov. 23(3): 379-406 (2011) - [j20]Jiuyong Li, Jixue Liu, Muzammil M. Baig, Raymond Chi-Wing Wong:
Information based data anonymization for classification utility. Data Knowl. Eng. 70(12): 1030-1045 (2011) - [j19]Junpeng Zhang, Jianfeng He, Lei Ma, Jiuyong Li:
ORPSW: a new classifier for gene expression data based on optimal risk and preventive patterns. J. Comput. 6(6): 1198-1205 (2011) - [j18]Bing-Yu Sun, Zhi-Hua Zhu, Jiuyong Li, Bin Linghu:
Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1671-1677 (2011) - [c41]Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang:
Cloning for privacy protection in multiple independent data publications. CIKM 2011: 885-894 - [c40]Han Jiao, Jixue Liu, Jiuyong Li:
Recognize Trustworthy Web Services Via Institutions. ICEIS (4) 2011: 187-190 - [c39]Han Jiao, Jixue Liu, Jiuyong Li, Chengfei Liu:
A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories. TrustCom 2011: 344-351 - [p3]Xiaoxun Sun, Hua Wang, Jiuyong Li:
Validating Privacy Requirements in Large Survey Rating Data. Next Generation Data Technologies for Collective Computational Intelligence 2011: 445-469 - [e4]Jiuyong Li:
AI 2010: Advances in Artificial Intelligence - 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings. Lecture Notes in Computer Science 6464, Springer 2011, ISBN 978-3-642-17431-5 [contents] - 2010
- [j17]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) - [j16]Bing-Yu Sun, Jiuyong Li, Desheng Dash Wu, Xiaoming Zhang, Wenbo Li:
Kernel Discriminant Learning for Ordinal Regression. IEEE Trans. Knowl. Data Eng. 22(6): 906-910 (2010) - [j15]Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao:
Feature fusion using locally linear embedding for classification. IEEE Trans. Neural Networks 21(1): 163-168 (2010) - [c38]Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou:
On the Effectiveness of Gene Selection for Microarray Classification Methods. ACIIDS (2) 2010: 300-309 - [c37]Zhujin Zhang, Lin Liu, Jiuyong Li, Zheng Zhang:
Spectral representation of DNA sequences and its application. BIC-TA 2010: 1023-1027 - [c36]Xiaoxun Sun, Hua Wang, Jiuyong Li:
Satisfying Privacy Requirements: One Step before Anonymization. PAKDD (1) 2010: 181-188 - [p2]Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang, Junhu Wang:
Privacy Protection for Genomic Data: Current Techniques and Challenges. Advances in Intelligent Information Systems 2010: 175-193 - [p1]Jinsong Leng, Chee Peng Lim, Jiuyong Li, Dongguang Li, Lakhmi C. Jain:
A Role-Based Cognitive Architecture for Multi-Agent Teaming. Agent and Multi-agent Technology for Internet and Enterprise Systems 2010: 229-255
2000 – 2009
- 2009
- [j14]Jiuyong Li, Ada Wai-Chee Fu, Paul Fahey:
Efficient discovery of risk patterns in medical data. Artif. Intell. Medicine 45(1): 77-89 (2009) - [j13]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) - [j12]Faten Khalil, Jiuyong Li, Hua Wang:
An integrated model for next page access prediction. Int. J. Knowl. Web Intell. 1(1/2): 48-80 (2009) - [j11]Bing Liu, Jiuyong Li, Anna Tsykin:
Discovery of functional miRNA-mRNA regulatory modules with computational methods. J. Biomed. Informatics 42(4): 685-691 (2009) - [j10]Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang:
(alpha, k)-anonymous data publishing. J. Intell. Inf. Syst. 33(2): 209-234 (2009) - [c35]Xiaoxun Sun, Hua Wang, Jiuyong Li:
Microdata Protection Through Approximate Microaggregation. ACSC 2009: 149-156 - [c34]Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang:
Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data. AusDM 2009: 159-166 - [c33]Phillip Lock, Nicolas Le Mercier, Jiuyong Li, Markus Stumptner:
Building a Generic Graph-based Descriptor Set for use in Drug Discovery. AusDM 2009: 167-174 - [c32]Xiaoxun Sun, Hua Wang, Jiuyong Li:
Injecting purpose and trust into data anonymisation. CIKM 2009: 1541-1544 - [c31]Xiaoxun Sun, Hua Wang, Jiuyong Li, David Ross:
Achieving P-Sensitive K-Anonymity via Anatomy. ICEBE 2009: 199-205 - [c30]Junhu Wang, Kewen Wang, Jiuyong Li:
Finding Irredundant Contained Rewritings of Tree Pattern Queries Using Views. APWeb/WAIM 2009: 113-125 - 2008
- [j9]Jinsong Leng, Jiuyong Li, Lakhmi C. Jain:
A role-oriented BDI framework for real-time multiagent teaming. Intell. Decis. Technol. 2(4): 205-217 (2008) - [j8]Yingyi Bu, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Lei Chen, Jiuyong Li:
Privacy preserving serial data publishing by role composition. Proc. VLDB Endow. 1(1): 845-856 (2008) - [j7]Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius Truta:
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing. Trans. Data Priv. 1(2): 53-66 (2008) - [j6]Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies. IEEE Trans. Knowl. Data Eng. 20(9): 1181-1194 (2008) - [c29]Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius Truta, Ping Li:
(p+, α)-sensitive k-anonymity: A new enhanced privacy protection model. CIT 2008: 59-64 - [c28]Faten Khalil, Jiuyong Li, Hua Wang:
Integrating recommendation models for improved web page prediction accuracy. ACSC 2008: 91-100 - [c27]Xiaoxun Sun, Hua Wang, Jiuyong Li:
On the Complexity of Restricted k-anonymity Problem. APWeb 2008: 287-296 - [c26]Xiaoxun Sun, Hua Wang, Jiuyong Li:
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata. Australasian Conference on Artificial Intelligence 2008: 461-469 - [c25]Xiaoxun Sun, Hua Wang, Jiuyong Li:
Priority Driven K-Anonymisation for Privacy Protection. AusDM 2008: 73-78 - [c24]Hua Wang, Jianming Yong, Jiuyong Li, Min Peng:
Authorization approaches for advanced permission-role assignments. CSCWD 2008: 277-282 - [c23]Jianming Yong, Jiuyong Li, Hua Wang:
Portable devices of security and privacy preservation for e-learning. CSCWD 2008: 1029-1034 - [c22]Jinsong Leng, Jiuyong Li, Lakhmi C. Jain:
A Role-Based Framework for Multi-agent Teaming. KES (3) 2008: 642-649 - [e3]John F. Roddick, Jiuyong Li, Peter Christen, Paul J. Kennedy:
Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings. CRPIT 87, Australian Computer Society 2008, ISBN 978-1-920682-68-2 [contents] - 2007
- [c21]Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong:
A Fast Algorithm for Finding Correlation Clusters in Noise Data. PAKDD 2007: 639-647 - [e2]Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams:
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings. CRPIT 70, Australian Computer Society 2007, ISBN 978-1-920682-51-4 [contents] - 2006
- [j5]Jiuyong Li, Jason Jones:
Using multiple and negative target rules to make classifiers more understandable. Knowl. Based Syst. 19(6): 438-444 (2006) - [j4]Jiuyong Li:
On Optimal Rule Discovery. IEEE Trans. Knowl. Data Eng. 18(4): 460-471 (2006) - [j3]Jiuyong Li:
Robust Rule-Based Prediction. IEEE Trans. Knowl. Data Eng. 18(8): 1043-1054 (2006) - [c20]Hua Wang, Jiuyong Li, Ron Addie, Stijn Dekeyser, Richard Watson:
A framework for role-based group deligation in distributed environments. ACSC 2006: 321-328 - [c19]Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Grant Daggard:
A Comparative Study of Classification Methods For Microarray Data Analysis. AusDM 2006: 33-37 - [c18]Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon:
Analysis of Breast Feeding Data Using Data Mining Methods. AusDM 2006: 47-52 - [c17]Faten Khalil, Jiuyong Li, Hua Wang:
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses. AusDM 2006: 177-184 - [c16]Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures. DaWaK 2006: 405-416 - [c15]Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang:
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. KDD 2006: 754-759 - [c14]Jiuyong Li, Jason Jones:
Classification Using Multiple and Negative Target Rules. KES (1) 2006: 212-219 - [c13]Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard:
Combined Gene Selection Methods for Microarray Data Analysis. KES (1) 2006: 976-983 - [e1]Peter Christen, Paul J. Kennedy, Jiuyong Li, Simeon J. Simoff, Graham J. Williams:
Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings. CRPIT 61, Australian Computer Society 2006, ISBN 1-920-68242-2 [contents] - 2005
- [c12]Hong Hu, Jiuyong Li:
Using Association Rules to Make Rule-based Classifiers Robust. ADC 2005: 47-54 - [c11]Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi Huang:
Finding Similar Patterns in Microarray Data. Australian Conference on Artificial Intelligence 2005: 1272-1276 - [c10]Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman:
Mining risk patterns in medical data. KDD 2005: 770-775 - [c9]Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman:
Representing Association Classification Rules Mined from Health Data. KES (3) 2005: 1225-1231 - 2004
- [j2]Jiuyong Li, Hong Shen, Rodney W. Topor:
Mining Informative Rule Set for Prediction. J. Intell. Inf. Syst. 22(2): 155-174 (2004) - 2003
- [c8]Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman:
Association Rule Discovery with Unbalanced Class Distributions. Australian Conference on Artificial Intelligence 2003: 221-232 - [c7]Jiuyong Li, Yanchun Zhang:
Direct Interesting Rule Generation. ICDM 2003: 155-162 - 2002
- [j1]Jiuyong Li, Hong Shen, Rodney W. Topor:
Mining the optimal class association rule set. Knowl. Based Syst. 15(7): 399-405 (2002) - [c6]Jiuyong Li, Rodney W. Topor, Hong Shen:
Construct robust rule sets for classification. KDD 2002: 564-569 - 2001
- [c5]Jiuyong Li, Hong Shen, Rodney W. Topor:
Mining the Smallest Association Rule Set for Predictions. ICDM 2001: 361-368 - [c4]Jiuyong Li, Hong Shen, Rodney W. Topor:
Mining Optimal Class Association Rule Set. PAKDD 2001: 364-375
1990 – 1999
- 1999
- [c3]Jiuyong Li, Hong Shen, Rodney W. Topor:
An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining. ICSC 1999: 41-50 - [c2]Jiuyong Li, Hong Shen, Paul Pritchard:
Mining Significant Association Rules (Short Version). PDPTA 1999: 1458-1461 - [c1]Jiuyong Li, Hong Shen, Paul Pritchard:
Knowledge Network Based Association Discovery (Preliminary Version). PDPTA 1999: 1558-1563
Coauthor Index
[j130] [j129] [j122] [c117] [c113] [i52] [i50] [i45] [j120] [j119] [j118] [j114] [j110] [c111] [c108] [c106] [c105] [c102] [e11] [i43] [i41] [i39] [i36] [j109] [j107] [c99] [c97] [c96] [c95] [i35] [i34] [i33] [i31] [i30] [j102] [j101] [j100] [j99] [j98] [j96] [c91] [c89] [c88] [c87] [e10] [j93] [j91] [j90] [j89] [j88] [c86] [c85] [c84] [c82] [c81] [i26] [i24] [i23] [i22] [i17] [j85] [j84] [j83] [j82] [j80] [j78] [j76] [j74] [c78] [e9] [i15] [j72] [j71] [j70] [c75] [c74] [i10] [i9] [i8] [j58] [j57] [j56] [j55] [j54] [j51] [j50] [c68] [c67] [j48] [j46] [j45] [b1] [j42] [i6] [i5] [i4] [i3] [i2] [j37] [j35] [j32] [j31] [c47] [c43]
[j130] [j129] [j128] [j127] [j124] [j122] [c117] [c114] [c113] [c112] [i57] [i52] [i51] [i50] [i45] [j121] [j120] [j118] [j114] [j112] [j110] [c111] [c110] [c109] [c108] [c107] [c106] [c104] [c103] [c102] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [j109] [j107] [j106] [j104] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [i35] [i34] [i33] [i32] [i31] [i30] [j96] [c92] [c91] [c88] [j91] [j86] [c85] [c84] [c82] [c81] [c80] [i26] [i24] [i23] [i20] [i19] [i17] [j81] [j77] [j75] [c79] [c77] [i15] [i14] [j69] [j67] [j66] [c73] [c71] [c70] [i9] [i8] [j53] [j51] [c69] [c68] [c66] [c65] [j49] [j47] [j45] [c63] [i7] [j40] [c62] [c61] [c60] [c59] [c57] [p4] [i5] [i4] [j36] [j34] [j33] [c56] [c55] [c53] [c52] [j30] [j29] [j28] [c51] [c48] [c47] [c46] [i1] [j23] [c44] [c42] [j20] [c41] [c40] [c39] [p2] [c34]
[j131] [j130] [j129] [j126] [j125] [j124] [j123] [j122] [c117] [c116] [c114] [c113] [c112] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [j121] [j120] [j119] [j118] [j117] [j116] [j115] [j114] [j113] [j112] [j111] [j110] [c111] [c110] [c109] [c108] [c107] [c106] [c104] [c103] [c102] [c101] [i44] [i43] [i42] [i41] [i39] [i38] [i37] [i36] [j109] [j108] [j107] [j106] [j105] [j103] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [i35] [i34] [i33] [i32] [i31] [i30] [j102] [j101] [j100] [j99] [j98] [j97] [j96] [j95] [c93] [c92] [c91] [c88] [i29] [i28] [i27] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [c79] [c77] [c76] [i16] [i15] [i14] [i13] [j72] [j71] [j70] [j68] [j65] [j63] [j62] [j61] [j60] [c75] [c74] [c73] [c71] [c70] [i12] [i11] [i10] [i9] [i8] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [c69] [c68] [c67] [c66] [c65] [j48] [j46] [j45] [i7] [b1] [j42] [i6] [i5] [i4] [i3] [i2] [j37] [j35] [c54] [j32] [j31] [c47] [c46] [c43] [j17] [c37] [j13]
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