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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 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 |
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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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2019 Conference Publication Identification of functional connectivity features in depression subtypes using a data-driven approachLi, Xingjuan, Burnham, Samantha, Fripp, Jurgen, Li, Yu, Li, Xue, Fazlollahi, Amir and Bourgeat, Pierrick (2019). Identification of functional connectivity features in depression subtypes using a data-driven approach. International Workshop on Graph Learning in Medical Imaging (GLMI 2019), Shenzhen, China, 17-19 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35817-4_12 |
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2019 Conference Publication Personalised medicine in critical care using Bayesian reinforcement learningUtomo, Chandra Prasetyo, Kurniawati, Hanna, Li, Xue and Pokharel, Suresh (2019). Personalised medicine in critical care using Bayesian reinforcement learning. ADMA 2019: Advanced Data Mining and Applications, Dalian, China, 21–23 November, 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_47 |
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2019 Conference Publication DBRec: dual-bridging recommendation via discovering latent groupsMa, Jingwei, Wen, Jiahui, Zhong, Mingyang, Liu, Liangchen, Li, Chaojie, Chen, Weitong, Yang, Yin, Tu, Hongkui and Li, Xue (2019). DBRec: dual-bridging recommendation via discovering latent groups. CIKM '19, Beijing, China, 3-7 November 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357892 |
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2019 Journal Article Hierarchical representation learning for big complex multimedia dataWu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2019). Hierarchical representation learning for big complex multimedia data. Multimedia Tools and Applications, 78 (21), 30535-30535. doi: 10.1007/s11042-019-08137-4 |
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2019 Journal Article Graph partitioning in the implementation and performance optimization of a hybrid memory system 图划分在混合内存系统的实现与性能优化Li, Qi, Zhong, Jiang and Li, Xue (2019). Graph partitioning in the implementation and performance optimization of a hybrid memory system 图划分在混合内存系统的实现与性能优化. Jisuanji Xuebao/Chinese Journal of Computers, 42 (11), 2481-2498. doi: 10.11897/SP.J.1016.2019.02481 |
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2019 Journal Article Online sales prediction via trend alignment-based multitask recurrent neural networksChen, Tong, Yin, Hongzhi, Chen, Hongxu, Wang, Hao, Zhou, Xiaofang and Li, Xue (2019). Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowledge and Information Systems, 62 (6), 2139-2167. doi: 10.1007/s10115-019-01404-8 |
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2019 Journal Article MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learningMa, Jingwei, Wen, Jiahui, Zhong, Mingyang, Chen, Weitong and Li, Xue (2019). MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning. Data Science and Engineering, 4 (3), 240-253. doi: 10.1007/s41019-019-00101-4 |
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2019 Journal Article A Dynamic Top-k Query Based on the Improved Grid Multi-Dimensional Index TTI 一种基于改进网格多维TTI索引的动态Top-k查询算法Deng, Dan-Ping, Qin, Xiao-Lin, Li, Bo-Han, Zheng, Wei, Liu, Liang and Li, Xue (2019). A Dynamic Top-k Query Based on the Improved Grid Multi-Dimensional Index TTI 一种基于改进网格多维TTI索引的动态Top-k查询算法. Jisuanji Xuebao/Chinese Journal of Computers, 42 (8), 1827-1844. doi: 10.11897/SP.J.1016.2019.01827 |
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2019 Journal Article Where-and-when to look: deep siamese attention networks for video-based person re-identificationWu, Lin, Wang, Yang, Gao, Junbin and Li, Xue (2019). Where-and-when to look: deep siamese attention networks for video-based person re-identification. IEEE Transactions on Multimedia, 21 (6) 8506428, 1412-1424. doi: 10.1109/TMM.2018.2877886 |
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2019 Journal Article Memory management mechanism for hybrid memory architecture based on new non-volatile memoryLi, Qi, Zhong, Jiang, Li, Xue and Li, Qing (2019). Memory management mechanism for hybrid memory architecture based on new non-volatile memory. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 47 (3), 664-670. doi: 10.3969/j.issn.0372-2112.2019.03.021 |
