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2017

Journal Article

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

Wang, Sen, Li, Xue, Chang, Xiaojun, Yao, Lina, Sheng, Quan Z. and Long, Guodong (2017). Learning multiple diagnosis codes for ICU patients with local disease correlation mining. ACM Transactions on Knowledge Discovery from Data, 11 (3) 31, 1-21. doi: 10.1145/3003729

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

2017

Book Chapter

Building Entity Graphs for the Web of Things Management

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Li, Xue, Benatallah, Boualem and Wang, Xianzhi (2017). Building Entity Graphs for the Web of Things Management. Managing the Web of Things: Linking the Real World to the Web. (pp. 275-303) Cambridge, MA, United States: Elsevier . doi: 10.1016/B978-0-12-809764-9.00013-5

Building Entity Graphs for the Web of Things Management

2017

Conference Publication

Group recommender model based on preference interaction

Zheng, Wei, Li, Bohan, Wang, Yanan, Yin, Hongzhi, Li, Xue, Guan, Donghai and Qin, Xiaolin (2017). Group recommender model based on preference interaction. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_10

Group recommender model based on preference interaction

2017

Conference Publication

Past, present, and future trend of GPU computing in deep learning on medical images

Haryanto, Toto, Suhartanto, Hem and Lie, Xue (2017). Past, present, and future trend of GPU computing in deep learning on medical images. 9th International Conference on Advanced Computer Science and Information Systems (ICACSIS), Jakarta, Indonesia, 28-29 October 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICACSIS.2017.8355007

Past, present, and future trend of GPU computing in deep learning on medical images

2017

Conference Publication

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion

Ruan, Wenjie, Xu, Peipei, Sheng, Quan Z., Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2017). Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion. 22nd International Conference on Database Systems for Advanced Applications (DASFAA), Suzhou Peoples R China, Mar 27-30, 2017. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. doi: 10.1007/978-3-319-55753-3_38

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion

2017

Conference Publication

Generating life course trajectory sequences with recurrent neural networks and application to early detection of social disadvantage

Wu, Lin, Haynes, Michele, Smith, Andrew, Chen, Tong and Li, Xue (2017). Generating life course trajectory sequences with recurrent neural networks and application to early detection of social disadvantage. Advanced Data Mining and Applications 13th International Conference, Singapore, November 5–6, 2017. Heidelberg, Germany: Springer . doi: 10.1007/978-3-319-69179-4_16

Generating life course trajectory sequences with recurrent neural networks and application to early detection of social disadvantage

2017

Conference Publication

Uncovering locally discriminative structure for feature analysis

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Yao, Lina (2017). Uncovering locally discriminative structure for feature analysis. 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy, 19 - 23 September 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46128-1_18

Uncovering locally discriminative structure for feature analysis

2017

Conference Publication

Structured sentiment analysis

Almars, Abdulqader, Li, Xue, Zhao, Xin, Ibrahim, Ibrahim A., Yuan, Weiwei and Li, Bohan (2017). Structured sentiment analysis. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_49

Structured sentiment analysis

2017

Conference Publication

People opinion topic model: opinion based user clustering in social networks

Chen, Hongxu, Yin, Hongzhi, Li, Xue, Wang, Meng, Chen, Weitong and Chen, Tong (2017). People opinion topic model: opinion based user clustering in social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051159

People opinion topic model: opinion based user clustering in social networks

2017

Conference Publication

Advancing public health genomics

Li, Xue, Zhao, Xin and Zhong, Mingyang (2017). Advancing public health genomics. 2016 International Workshop on Big Data and Information Security, IWBIS 2016, Jakarta, Indonesia, 18 - 19 October 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IWBIS.2016.7872883

Advancing public health genomics

2017

Conference Publication

Predicting clinical outcomes of Alzheimer’s disease from complex brain networks

Li, Xingjuan, Li, Yu and Li, Xue (2017). Predicting clinical outcomes of Alzheimer’s disease from complex brain networks. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore,, November 5, 2017-November 6, 2017. CHAM: Springer Verlag. doi: 10.1007/978-3-319-69179-4_36

Predicting clinical outcomes of Alzheimer’s disease from complex brain networks

2017

Conference Publication

PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking

Wang, Meng, Zhang, Jiaheng, Liu, Jun, Hu, Wei, Wang, Sen, Li, Xue and Liu, Wenqiang (2017). PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking. The Semantic Web – ISWC 2017: 16th International Semantic Web Conference Vienna, Austria, October 21–25, 2017 Proceedings, Part II, Vienna, Austria, 21-25 October 2017. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-319-68204-4_23

PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking

2016

Journal Article

Diagnosis code assignment using sparsity-based disease correlation embedding

Wang, Sen, Chang, Xiaojun, Li, Xue, Long, Guodong, Yao, Lina and Sheng, Quan Z. (2016). Diagnosis code assignment using sparsity-based disease correlation embedding. IEEE Transactions on Knowledge and Data Engineering, 28 (12), 3191-3202. doi: 10.1109/TKDE.2016.2605687

Diagnosis code assignment using sparsity-based disease correlation embedding

2016

Conference Publication

Opinion search engine

Li, Xue (2016). Opinion search engine. 14th Australasian Data Mining Conference, AusDM 2016, Canberra, ACT, Australia, 6 - 8 December 2016. Brisbane, QLD, Australia: Australian Computer Society.

Opinion search engine

2016

Journal Article

Constrained recommendations for query visualizations

Ibrahim, Ibrahim A., Albarrak, Abdullah M. and Li, Xue (2016). Constrained recommendations for query visualizations. Knowledge and Information Systems, 51 (2), 1-31. doi: 10.1007/s10115-016-1001-5

Constrained recommendations for query visualizations

2016

Journal Article

Mining health examination records - a graph-based approach

Chen, Ling, Li, Xue, Sheng, Quan Z, Peng, Wen-Chih, Bennett, John, Hu, Hsiao-Yun and Huang, Nicole (2016). Mining health examination records - a graph-based approach. IEEE Transactions on Knowledge and Data Engineering, 28 (9) 7463501, 2423-2437. doi: 10.1109/TKDE.2016.2561278

Mining health examination records - a graph-based approach

2016

Journal Article

Guest editorial: web of things

Sheng, Quan Z., Li, Xue, Ngu, Anne H. H., Qin, Yongrui and Xie, Dong (2016). Guest editorial: web of things. Information Systems Frontiers, 18 (4), 639-643. doi: 10.1007/s10796-016-9677-3

Guest editorial: web of things

2016

Journal Article

Fast distant support vector data description

Ling, Ping, You, Xiangyang, Gao, Dajin, Gao, Tao and Li, Xue (2016). Fast distant support vector data description. Memetic Computing, 9 (1), 1-12. doi: 10.1007/s12293-016-0189-y

Fast distant support vector data description

2016

Journal Article

Things of interest recommendation by leveraging heterogeneous relations in the internet of things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H. H. and Li, Xue (2016). Things of interest recommendation by leveraging heterogeneous relations in the internet of things. ACM Transactions on Internet Technology, 16 (2) 9, 1-25. doi: 10.1145/2837024

Things of interest recommendation by leveraging heterogeneous relations in the internet of things

2016

Journal Article

Multi-task support vector machines for feature selection with shared knowledge discovery

Wang, Sen, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Chen, Weitong (2016). Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Processing, 120, 746-753. doi: 10.1016/j.sigpro.2014.12.012

Multi-task support vector machines for feature selection with shared knowledge discovery