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2020 – today
- 2023
[j17]Cuihong Wen
, Shaowu Liu, Shuai Liu, Ali Asghar Heidari, Mohammad Hijji, Carmen Zarco, Khan Muhammad:
ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans. Comput. Biol. Medicine 153: 106338 (2023)- [j16]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Causal Optimal Transport for Treatment Effect Estimation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4083-4095 (2023) - 2022
- [j15]Hongjian Wu, Shaowu Liu, Xinliang Xie, Yicha Zhang, Hanlin Liao, Sihao Deng:
A framework for a knowledge based cold spray repairing system. J. Intell. Manuf. 33(6): 1639-1647 (2022) - [j14]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [j13]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep treatment-adaptive network for causal inference. VLDB J. 31(5): 1127-1142 (2022) - 2021
- [j12]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - [j11]Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu:
Leveraging unstructured call log data for customer churn prediction. Knowl. Based Syst. 212: 106586 (2021) - [c24]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [i3]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep Treatment-Adaptive Network for Causal Inference. CoRR abs/2112.13502 (2021) - 2020
- [j10]Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu:
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404: 304-316 (2020) - [j9]Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu:
Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. 10(1): 82 (2020) - [c23]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c22]Dhruv Aditya Mittal, Shaowu Liu, Guandong Xu:
Electricity Price Forecasting using Convolution and LSTM Models. BESC 2020: 1-4 - [c21]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180 - [c20]Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. WWW 2020: 1217-1227 - [i2]Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang:
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR abs/2006.16789 (2020) - [i1]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR abs/2009.06231 (2020)
2010 – 2019
- 2019
- [j8]Ziqi Yan, Qiong Wu, Meng Ren, Jiqiang Liu, Shaowu Liu, Shuo Qiu:
Locally private Jaccard similarity estimation. Concurr. Comput. Pract. Exp. 31(24) (2019) - [j7]Nhi N. Y. Vo, Xuezhong He, Shaowu Liu, Guandong Xu:
Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decis. Support Syst. 124 (2019) - [j6]Ziqi Yan, Jiqiang Liu, Shaowu Liu:
DPWeVote: differentially private weighted voting protocol for cloud-based decision-making. Enterp. Inf. Syst. 13(2): 236-256 (2019) - [c19]Zili Zhou, Shaowu Liu, Guandong Xu, Wu Zhang:
On Completing Sparse Knowledge Base with Transitive Relation Embedding. AAAI 2019: 3125-3132 - [c18]Jun Yin, Shaowu Liu, Qian Li, Guandong Xu:
Prediction and Analysis of Rumour's Impact on Social Media. BESC 2019: 1-6 - [c17]Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu:
Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. BESC 2019: 1-2 - 2018
- [c16]Rhys Biddle, Shaowu Liu, Peter Tilocca, Guandong Xu:
Automated Underwriting in Life Insurance: Predictions and Optimisation. ADC 2018: 135-146 - [c15]Rhys Biddle, Shaowu Liu, Guandong Xu:
Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses. BESC 2018: 30-31 - [c14]Nhi N. Y. Vo, Shaowu Liu, James Brownlow, Charles Chu, Ben Culbert, Guandong Xu:
Client Churn Prediction with Call Log Analysis. DASFAA (2) 2018: 752-763 - [c13]Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang:
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD (2) 2018: 222-234 - [c12]Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu:
Social Spammer Detection: A Multi-Relational Embedding Approach. PAKDD (1) 2018: 615-627 - [c11]Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu:
Multimodal Mixture Density Boosting Network for Personality Mining. PAKDD (1) 2018: 644-655 - 2017
- [j5]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 523-546 (2017) - [j4]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 547 (2017) - [c10]Shaowu Liu, Guandong Xu, Xiao Zhu, Zili Zhou:
Towards simplified insurance application via sparse questionnaire optimization. BESC 2017: 1-2 - [c9]Zili Zhou, Guandong Xu, Xiao Zhu, Shaowu Liu:
Latent factor analysis for low-dimensional implicit preference prediction. BESC 2017: 1-2 - [c8]Dali Zhu, Na Pang, Gang Li, Shaowu Liu:
NotiFi: A ubiquitous WiFi-based abnormal activity detection system. IJCNN 2017: 1766-1773 - [c7]Shaowu Liu, Na Pang, Guandong Xu, Huan Liu:
Collaborative Filtering via Different Preference Structures. KSEM 2017: 309-321 - [c6]Na Pang, Dali Zhu, Gang Li, Shaowu Liu:
WarnFi: Non-invasive wifi-based abnormal activity sensing using non-parametric model. MILCOM 2017: 800-805 - 2016
- [c5]Dali Zhu, Na Pang, Gang Li, Shaowu Liu:
WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices. HPCC/SmartCity/DSS 2016: 562-569 - 2015
- [c4]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Preference Relation-based Markov Random Fields for Recommender Systems. ACML 2015: 157-172 - 2014
- [j3]Veelasha Moonsamy, Jia Rong, Shaowu Liu:
Mining permission patterns for contrasting clean and malicious android applications. Future Gener. Comput. Syst. 36: 122-132 (2014) - [c3]Shaowu Liu, Truyen Tran, Gang Li:
Ordinal Random Fields for Recommender Systems. ACML 2014 - 2013
- [c2]Veelasha Moonsamy, Jia Rong, Shaowu Liu, Gang Li, Lynn Margaret Batten:
Contrasting Permission Patterns between Clean and Malicious Android Applications. SecureComm 2013: 69-85 - 2012
- [j2]Huy Quan Vu, Shaowu Liu, Xinghua Yang, Zhi Li, Yongli Ren:
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. J. Networks 7(6): 908-917 (2012) - [j1]Huy Quan Vu, Gang Li, Nadezda Sukhorukova, Gleb Beliakov, Shaowu Liu, Carole Philippe, Hélène Amiel, Adrien Ugon:
K-Complex Detection Using a Hybrid-Synergic Machine Learning Method. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1478-1490 (2012) - [c1]Shaowu Liu, Jiyong Wei, Shouwei Wang:
Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database. ADMA 2012: 625-634
Coauthor Index
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