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2018

Conference Publication

Automated explanations of user-expected trends for aggregate queries

Ibrahim, Ibrahim A., Li, Xue, Zhao, Xin, Maskari, Sanad Al, Albarrak, Abdullah M. and Zhang, Yanjun (2018). Automated explanations of user-expected trends for aggregate queries. Pacific-Asia Conference, PAKDD, Melbourne, VIC, Australia, 3-6 June 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-93034-3_48

Automated explanations of user-expected trends for aggregate queries

2018

Conference Publication

Streaming graph partitioning for large graphs with limited memory

Li, Qi, Zhong, Jiang, Zheng, Linjiang and Li, Xue (2018). Streaming graph partitioning for large graphs with limited memory. 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12-15 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ISPA/IUCC.2017.00193

Streaming graph partitioning for large graphs with limited memory

2018

Conference Publication

Similarity computing on electronic health records

Pokharel, Suresh, Li, Xue, Zhao, Zin, Adhikari, Anoj and Li, Yu (2018). Similarity computing on electronic health records. Pacific Asia Conference on Information Systems, Yokohama, Japan, 26 - 30 June 2018. Pacific Asia Conference on Information Systems.

Similarity computing on electronic health records

2018

Conference Publication

Vertical and sequential sentiment analysis of micro-blog topic

Wan, Shuo, Li, Bohan, Zhang, Anman, Wang, Kai and Li, Xue (2018). Vertical and sequential sentiment analysis of micro-blog topic. 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, Nanjing, China, 16-18 November 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-05090-0_30

Vertical and sequential sentiment analysis of micro-blog topic

2017

Journal Article

Structured deep hashing with convolutional neural networks for fast person re-identification

Wu, Lin , Wang, Yang, Ge, Zongyuan, Hu, Qichang and Li, Xue (2017). Structured deep hashing with convolutional neural networks for fast person re-identification. Computer Vision and Image Understanding, 167, 63-73. doi: 10.1016/j.cviu.2017.11.009

Structured deep hashing with convolutional neural networks for fast person re-identification

2017

Journal Article

基于启发策略的动态平衡图划分算法

Li, Qi, Zhong, Jiang and Li, Xue (2017). 基于启发策略的动态平衡图划分算法. Jisuanji Yanjiu yu Fazhan, 54 (12), 2851-2857. doi: 10.7544/issn1000-1239.2017.20160690

基于启发策略的动态平衡图划分算法

2017

Journal Article

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Li, Xue and Benattalah, Boualem (2017). Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. Acm Transactions On Intelligent Systems and Technology, 8 (5) 62, 1-25. doi: 10.1145/3035967

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

2017

Journal Article

Answering why-not questions on semantic multimedia queries

Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6

Answering why-not questions on semantic multimedia queries

2017

Journal Article

A multiview learning framework with a linear computational cost

Xue, Xiaowei, Nie, Feiping, Li, Zhihui, Wang, Sen, Li, Xue and Yao, Min (2017). A multiview learning framework with a linear computational cost. IEEE Transactions on Cybernetics, 48 (8), 2416-2425. doi: 10.1109/TCYB.2017.2739423

A multiview learning framework with a linear computational cost

2017

Journal Article

Collaborative text categorization via exploiting sparse coefficients

Yao, Lina, Sheng, Quan Z., Wang, Xianzhi, Wang, Shengrui, Li, Xue and Wang, Sen (2017). Collaborative text categorization via exploiting sparse coefficients. World Wide Web: internet and web information systems, 21 (2), 1-22. doi: 10.1007/s11280-017-0460-2

Collaborative text categorization via exploiting sparse coefficients

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

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

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