Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database. - Shaowu Liu; Jiyong Wei; Shouwei Wang (ADMA, 2012)

Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. - Huy Quan Vu; Shaowu Liu; Xinghua Yang; Zhi Li 021; Yongli Ren (J. Networks, 2012)

K-Complex Detection Using a Hybrid-Synergic Machine Learning Method. - Huy Quan Vu; Gang Li 009; Nadezda Sukhorukova; Gleb Beliakov; Shaowu Liu; Carole Philippe; Hélène Amiel; Adrien Ugon (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Contrasting Permission Patterns between Clean and Malicious Android Applications. - Veelasha Moonsamy; Jia Rong; Shaowu Liu; Gang Li 009; Lynn Margaret Batten (SecureComm, 2013)

Ordinal Random Fields for Recommender Systems. - Shaowu Liu; Truyen Tran 001; Gang Li 009 (ACML, 2014)

Mining permission patterns for contrasting clean and malicious android applications. - Veelasha Moonsamy; Jia Rong; Shaowu Liu (Future Gener. Comput. Syst., 2014)

WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices. - Dali Zhu; Na Pang; Gang Li 009; Shaowu Liu (HPCC/SmartCity/DSS, 2016)

Towards simplified insurance application via sparse questionnaire optimization. - Shaowu Liu; Guandong Xu; Xiao Zhu; Zili Zhou (BESC, 2017)

Latent factor analysis for low-dimensional implicit preference prediction. - Zili Zhou; Guandong Xu; Xiao Zhu; Shaowu Liu (BESC, 2017)

NotiFi: A ubiquitous WiFi-based abnormal activity detection system. - Dali Zhu; Na Pang; Gang Li 009; Shaowu Liu (IJCNN, 2017)

Collaborative Filtering via Different Preference Structures. - Shaowu Liu; Na Pang; Guandong Xu; Huan Liu 001 (KSEM, 2017)

WarnFi: Non-invasive wifi-based abnormal activity sensing using non-parametric model. - Na Pang; Dali Zhu; Gang Li 009; Shaowu Liu (MILCOM, 2017)

Preference Relation-based Markov Random Fields for Recommender Systems. - Shaowu Liu; Gang Li 009; Truyen Tran 001; Yuan Jiang 001 (Mach. Learn., 2017)

Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. - Shaowu Liu; Gang Li 009; Truyen Tran 001; Yuan Jiang 001 (Mach. Learn., 2017)

Automated Underwriting in Life Insurance: Predictions and Optimisation. - Rhys Biddle; Shaowu Liu; Peter Tilocca; Guandong Xu (ADC, 2018)

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses. - Rhys Biddle; Shaowu Liu; Guandong Xu (BESC, 2018)

Client Churn Prediction with Call Log Analysis. - Nhi N. Y. Vo; Shaowu Liu; James Brownlow; Charles Chu; Ben Culbert; Guandong Xu (DASFAA (2), 2018)

Multimodal Mixture Density Boosting Network for Personality Mining. - Nhi N. Y. Vo; Shaowu Liu; Xuezhong He; Guandong Xu (PAKDD (1), 2018)

Social Spammer Detection: A Multi-Relational Embedding Approach. - Jun Yin 005; Zili Zhou; Shaowu Liu; Zhiang Wu 001; Guandong Xu (PAKDD (1), 2018)

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. - Zili Zhou; Shaowu Liu; Guandong Xu; Xing Xie 001; Jun Yin 005; Yidong Li; Wu Zhang (PAKDD (2), 2018)

On Completing Sparse Knowledge Base with Transitive Relation Embedding. - Zili Zhou; Shaowu Liu; Guandong Xu; Wu Zhang (AAAI, 2019)

Prediction and Analysis of Rumour's Impact on Social Media. - Jun Yin 005; Shaowu Liu; Qian Li 003; Guandong Xu (BESC, 2019)

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. - Ming Zhao; Yangyang Shu; Shaowu Liu; Guandong Xu (BESC, 2019)

Locally private Jaccard similarity estimation. - Ziqi Yan; Qiong Wu; Meng Ren; Jiqiang Liu; Shaowu Liu; Shuo Qiu (Concurr. Comput. Pract. Exp., 2019)

Deep learning for decision making and the optimization of socially responsible investments and portfolio. - Nhi N. Y. Vo; Xuezhong He; Shaowu Liu; Guandong Xu (Decis. Support Syst., 2019)

DPWeVote: differentially private weighted voting protocol for cloud-based decision-making. - Ziqi Yan; Jiqiang Liu; Shaowu Liu (Enterp. Inf. Syst., 2019)

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. - Md. Rafiqul Islam 004; Shaowu Liu; Imran Razzak; Muhammad Ashad Kabir; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (BESC, 2020)

Electricity Price Forecasting using Convolution and LSTM Models. - Dhruv Aditya Mittal; Shaowu Liu; Guandong Xu (BESC, 2020)

Joint Relational Dependency Learning for Sequential Recommendation. - Xiangmeng Wang; Qian Li 003; Wu Zhang; Guandong Xu; Shaowu Liu; Wenhao Zhu (PAKDD (1), 2020)

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. - Rhys Biddle; Aditya Joshi; Shaowu Liu; Cécile Paris; Guandong Xu (WWW, 2020)

Causality Learning: A New Perspective for Interpretable Machine Learning. - Guandong Xu; Tri Dung Duong; Qian Li 003; Shaowu Liu; Xianzhi Wang 001 (CoRR, 2020)

Learning with privileged information for photo aesthetic assessment. - Yangyang Shu; Qian Li 003; Shaowu Liu; Guandong Xu (Neurocomputing, 2020)

Deep learning for misinformation detection on online social networks: a survey and new perspectives. - Md. Rafiqul Islam 004; Shaowu Liu; Xianzhi Wang 001; Guandong Xu (Soc. Netw. Anal. Min., 2020)

Causal-Aware Generative Imputation for Automated Underwriting. - Qian Li 003; Tri Dung Duong; Zhichao Wang 001; Shaowu Liu; Dingxian Wang; Guandong Xu (CIKM, 2021)

Leveraging multi-level dependency of relational sequences for social spammer detection. - Jun Yin 005; Qian Li 003; Shaowu Liu; Zhiang Wu 001; Guandong Xu (Neurocomputing, 2021)

Leveraging unstructured call log data for customer churn prediction. - Nhi N. Y. Vo; Shaowu Liu; Xitong Li; Guandong Xu (Knowl. Based Syst., 2021)

A framework for a knowledge based cold spray repairing system. - Hongjian Wu; Shaowu Liu; Xinliang Xie; Yicha Zhang; Hanlin Liao; Sihao Deng (J. Intell. Manuf., 2022)

V-SVR+: Support Vector Regression With Variational Privileged Information. - Yangyang Shu; Qian Li 003; Chang Xu 002; Shaowu Liu; Guandong Xu (IEEE Trans. Multim., 2022)

Deep treatment-adaptive network for causal inference. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (VLDB J., 2022)

ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans. - Cuihong Wen; Shaowu Liu; Shuai Liu 002; Ali Asghar Heidari; Mohammad Hijji; Carmen Zarco; Khan Muhammad 001 (Comput. Biol. Medicine, 2023)

Causal Optimal Transport for Treatment Effect Estimation. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2023)