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2020

Journal Article

Differentially private collaborative coupling learning for recommender systems

Zhang, 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

Differentially private collaborative coupling learning for recommender systems

2020

Journal Article

Joint personalized Markov chains with social network embedding for cold-start recommendation

Zhang, 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

Joint personalized Markov chains with social network embedding for cold-start recommendation

2020

Journal Article

Social boosted recommendation with folded bipartite network embedding

Chen, 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

Social boosted recommendation with folded bipartite network embedding

2020

Conference Publication

Adaptive two-dimensional embedded image clustering

Li, 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.

Adaptive two-dimensional embedded image clustering

2020

Conference Publication

Sequence-aware factorization machines for temporal predictive analytics

Chen, 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

Sequence-aware factorization machines for temporal predictive analytics

2020

Journal Article

IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units

Shi, 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

IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units

2020

Conference Publication

PrivColl: practical privacy-preserving collaborative machine learning

Zhang, 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

PrivColl: practical privacy-preserving collaborative machine learning

2019

Conference Publication

Identification of functional connectivity features in depression subtypes using a data-driven approach

Li, 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

Identification of functional connectivity features in depression subtypes using a data-driven approach

2019

Conference Publication

DBRec: dual-bridging recommendation via discovering latent groups

Ma, 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

DBRec: dual-bridging recommendation via discovering latent groups

2019

Journal Article

Hierarchical representation learning for big complex multimedia data

Wu, 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

Hierarchical representation learning for big complex multimedia data

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

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

2019

Conference Publication

Personalised medicine in critical care using Bayesian reinforcement learning

Utomo, 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

Personalised medicine in critical care using Bayesian reinforcement learning

2019

Journal Article

Online sales prediction via trend alignment-based multitask recurrent neural networks

Chen, 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

Online sales prediction via trend alignment-based multitask recurrent neural networks

2019

Journal Article

MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning

Ma, 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

MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning

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

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

2019

Journal Article

Where-and-when to look: deep siamese attention networks for video-based person re-identification

Wu, 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

Where-and-when to look: deep siamese attention networks for video-based person re-identification

2019

Journal Article

Memory management mechanism for hybrid memory architecture based on new non-volatile memory

Li, 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

Memory management mechanism for hybrid memory architecture based on new non-volatile memory

2019

Conference Publication

RecKGC: Integrating Recommendation with Knowledge Graph Completion

Ma, Jingwei, Zhong, Mingyang, Wen, Jiahui, Chen, Weitong, Zhou, Xiaofang and Li, Xue (2019). RecKGC: Integrating Recommendation with Knowledge Graph Completion. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_18

RecKGC: Integrating Recommendation with Knowledge Graph Completion

2019

Conference Publication

AIR: Attentional intention-aware recommender systems

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Yan, Rui, Nguyen, Quoc Viet Hung and Li, Xue (2019). AIR: Attentional intention-aware recommender systems. 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.2019.00035

AIR: Attentional intention-aware recommender systems

2019

Conference Publication

Causality discovery with domain knowledge for drug-drug interactions discovery

Subpaiboonkit, 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

Causality discovery with domain knowledge for drug-drug interactions discovery