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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 |
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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 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 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 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 |
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2019 Conference Publication Causality discovery with domain knowledge for drug-drug interactions discoverySubpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin, Scells, Harrisen and Zuccon, Guido (2019). Causality discovery with domain knowledge for drug-drug interactions discovery. 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_46 |
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2019 Conference Publication Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networksZhang, Yanjun, Zhao, Xin, Li, Xue, Zhong, Mingyang, Curtis, Caitlin and Chen, Chen (2019). Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks. Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11-15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3290983 |
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2019 Journal Article Optimizing streaming graph partitioning via a heuristic greedy method and caching strategyLi, Qi, Zhong, Jiang, Cao, Zehong and Li, Xue (2019). Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optimization Methods and Software, 35 (6), 1-16. doi: 10.1080/10556788.2018.1553971 |
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2019 Conference Publication Learning private neural language modeling with attentive aggregationJi, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464 |
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2019 Conference Publication Exploiting centrality information with graph convolutions for network representation learningChen, Hongxu, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Peng, Wen-Chih and Li, Xue (2019). Exploiting centrality information with graph convolutions for network representation learning. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00059 |
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2019 Journal Article Modelling user attitudes using hierarchical sentiment-topic modelAlmars, Abdulqader, Li, Xue and Zhao, Xin (2019). Modelling user attitudes using hierarchical sentiment-topic model. Data and Knowledge Engineering, 119, 139-149. doi: 10.1016/j.datak.2019.01.005 |
