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2021 Conference Publication Privacy-preserving gradient descent for distributed genome-wide analysisZhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20 |
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2021 Journal Article Source data‐free domain adaptation of object detector through domain‐specific perturbationXiong, Lin, Ye, Mao, Zhang, Dan, Gan, Yan, Li, Xue and Zhu, Yingying (2021). Source data‐free domain adaptation of object detector through domain‐specific perturbation. International Journal of Intelligent Systems, 36 (8), 3746-3766. doi: 10.1002/int.22434 |
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2021 Journal Article Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approachHu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Wang, Sen, Li, Xue, Wu, Tianqi, Jarin, Sams and Zhang, Ming-Xing (2021). Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 52 (7), 2873-2884. doi: 10.1007/s11661-021-06279-5 |
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2021 Journal Article Suicidal ideation and mental disorder detection with attentive relation networksJi, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y |
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2021 Conference Publication Alignment-Free Video Compression Artifact ReductionLuo, Dengyan, Ye, Mao, Chen, Shengjie and Li, Xue (2021). Alignment-Free Video Compression Artifact Reduction. IEEE International Conference on Visual Communications and Image Processing (VCIP) - Visual Communications in the Era of AI and Limited Resources, Munich, Germany, 5-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/VCIP53242.2021.9675384 |
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2021 Conference Publication Welcome from the ICBK 2021 ChairsChen, Lei, Manjon, Baltasar Fernandez, Gong, Zhiguo, Li, Xue, Öǧüdücü, Sule Gündüz and Wu, Xindong (2021). Welcome from the ICBK 2021 Chairs. 12th IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, 7-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICKG52313.2021.00005 |
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2020 Conference Publication Learning causal Bayesian networks from textMoghimifar, Farhad, Rahimi, Afshin, Baktashmotlagh, Mahsa and Li, Xue (2020). Learning causal Bayesian networks from text. The 18th Annual Workshop of the Australasian Language Technology Association, Virtual, 14-15 January 2021. Australasian Language Technology Association. |
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2020 Journal Article Suicidal ideation detection: a review of machine learning methods and applicationsJi, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467 |
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2020 Journal Article A time-critical topic model for predicting the survival time of sepsis patientsGuo, Wenping, Xu, Zhuoming, Ye, Xijian, Zhang, Shiqing, Zhao, Xiaoming and Li, Xue (2020). A time-critical topic model for predicting the survival time of sepsis patients. Scientific Programming, 2020 (1) 8884539, 1-13. doi: 10.1155/2020/8884539 |
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2020 Journal Article Bidirectional generative transductive zero-shot learningLi, Xinpeng, Zhang, Dan, Ye, Mao, Li, Xue, Dou, Qiang and Lv, Qiao (2020). Bidirectional generative transductive zero-shot learning. Neural Computing and Applications, 33 (10), 5313-5326. doi: 10.1007/s00521-020-05322-7 |
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2020 Journal Article Editorial for application-driven knowledge acquisitionLi, Xue, Wang, Sen and Li, Bohan (2020). Editorial for application-driven knowledge acquisition. World Wide Web, 23 (5), 2649-2651. doi: 10.1007/s11280-020-00827-6 |
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2020 Journal Article Temporal tree representation for similarity computation between medical patientsPokharel, Suresh, Zuccon, Guido, Li, Xue, Utomo, Chandra Prasetyo and Li, Yu (2020). Temporal tree representation for similarity computation between medical patients. Artificial Intelligence in Medicine, 108 101900, 101900. doi: 10.1016/j.artmed.2020.101900 |
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2020 Other Outputs PrivColl: Practical Privacy-Preserving Collaborative Machine LearningZhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan KL (2020). PrivColl: Practical Privacy-Preserving Collaborative Machine Learning. |
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2020 Journal Article Differentially private collaborative coupling learning for recommender systemsZhang, Yanjun, Bai, Guangdong, Zhong, Mingyang, Li, Xue and Ko, Ryan K. L. (2020). Differentially private collaborative coupling learning for recommender systems. IEEE Intelligent Systems, 36 (1) 9130104, 1-1. doi: 10.1109/MIS.2020.3005930 |
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2020 Journal Article Joint personalized Markov chains with social network embedding for cold-start recommendationZhang, Yijia, Shi, Zhenkun, Zuo, Wanli, Yue, Lin, Liang, Shining and Li, Xue (2020). Joint personalized Markov chains with social network embedding for cold-start recommendation. Neurocomputing, 386, 208-220. doi: 10.1016/j.neucom.2019.12.046 |
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2020 Journal Article Social boosted recommendation with folded bipartite network embeddingChen, Hongxu, Yin, Hongzhi, Chen, Tong, Wang, Weiqing, Li, Xue and Hu, Xia (2020). Social boosted recommendation with folded bipartite network embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (2), 914-926. doi: 10.1109/tkde.2020.2982878 |
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2020 Conference Publication Sequence-aware factorization machines for temporal predictive analyticsChen, Tong, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Peng, Wen-Chih, Li, Xue and Zhou, Xiaofang (2020). Sequence-aware factorization machines for temporal predictive analytics. 2020 IEEE 36th International Conference on Data Engineering, Dallas, Texas, United States, 20-24 April 2020. LOS ALAMITOS: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00125 |
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2020 Conference Publication Adaptive two-dimensional embedded image clusteringLi, Zhihui, Yao, Lina, Wang, Sen, Kanhere, Salil, Li, Xue and Zhang, Huaxiang (2020). Adaptive two-dimensional embedded image clustering. The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, NY, United States, 7-12 February 2020. Palo Alto, CA, United States: AAAI Press. |
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2020 Journal Article IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care unitsShi, Zhenkun, Zuo, Wanli, Liang, Shining, Zuo, Xianglin, Yue, Lin and Li, Xue (2020). IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units. IEEE Access, 8 8962342, 15423-15435. doi: 10.1109/aCCESS.2020.2967417 |
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2020 Conference Publication PrivColl: practical privacy-preserving collaborative machine learningZhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2020). PrivColl: practical privacy-preserving collaborative machine learning. European Symposium on Research in Computer Security, Guildford, United Kingdom, 14-18 September 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58951-6_20 |
