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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

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

EEG-based motion intention recognition via multi-task RNNs

Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32

EEG-based motion intention recognition via multi-task RNNs

2018

Conference Publication

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

Chen, Tong, Chen, Hongxu and Li, Xue (2018). Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC, Australia, 3 June 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_10

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

2018

Conference Publication

Interesting recommendations based on hierarchical visualizations of medical data

Ibrahim, Ibrahim A., Almars, Abdulqader M., Pokharel, Suresh, Zhao, Xin and Li, Xue (2018). Interesting recommendations based on hierarchical visualizations of medical data. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC Australia, June 3 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-04503-6_6

Interesting recommendations based on hierarchical visualizations of medical data

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

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

Chen, Weitong, Wang, Sen, Long, Guodong, Yao, Lina, Sheng, Quan Z. and Li, Xue (2018). Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17 - 20 November 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2018.00111

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

2018

Conference Publication

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

Utomo, Chandra Prasetyo, Li, Xue and Chen, Weitong (2018). Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states. 39th International Conference on Information Systems, ICIS 2018, San Francisco, CA United States, 13-16 December 2018. Atlanta, GA United States: Association for Information Systems.

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

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

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

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

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

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

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

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

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

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

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

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

Conference Publication

Classification with quantification for air quality monitoring

Al-Maskari, Sanad, Belisle, Eve, Li, Xue, Le Digabel, Sebastien, Nawahda, Amin and Zhong, Jiang (2016). Classification with quantification for air quality monitoring. 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, Auckland, New Zealand, 19 - 22 April 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-31753-3_46

Classification with quantification for air quality monitoring