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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

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

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

Learning from less for better: semi-supervised activity recognition via shared structure discovery

Yao, Lina, Nie, Feiping, Sheng, Quan Z., Gu, Tao, Li, Xue and Wang, Sen (2016). Learning from less for better: semi-supervised activity recognition via shared structure discovery. 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12-16 September 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2971648.2971701

Learning from less for better: semi-supervised activity recognition via shared structure discovery

2016

Conference Publication

When sensor meets tensor: filling missing sensor values through a tensor approach

Ruan, Wenjie, Xu, Peipei, Sheng, Quan Z., Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). When sensor meets tensor: filling missing sensor values through a tensor approach. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983900

When sensor meets tensor: filling missing sensor values through a tensor approach

2016

Conference Publication

Outlier detection via minimum spanning tree

Tang, Xin, Huang, Wei, Li, Xue, Li, Shengli and Liu, Yuewen (2016). Outlier detection via minimum spanning tree. Pacific Asia Conference on Information Systems, PACIS, Chiayi, Taiwan, 27 June - 1 July 2016. Pacific Asia Conference on Information Systems.

Outlier detection via minimum spanning tree

2016

Conference Publication

Preface

Li, Jinyan, Li, Xue and Wang, Shuliang (2016). Preface. 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, Gold Coast, QLD, Australia, 12 - 15 December 2016. Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-49586-6

Preface

2016

Conference Publication

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Li, Xue, Wang, Sen and Yang, Zhi (2016). Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength. 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015, Melbourne, Victoria, Australia, 14- 17 December 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPADS.2015.23

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

2016

Conference Publication

Classification based on compressive multivariate time series

Utomo, Chandra, Li, Xue and Wang, Sen (2016). Classification based on compressive multivariate time series. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_16

Classification based on compressive multivariate time series

2016

Conference Publication

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

Ruan, Wenjie, Sheng, Quan Z., Xu, Peipei, Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). Forecasting seasonal time series using weighted gradient RBF network based autoregressive model. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983899

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

2016

Conference Publication

Empowering truth discovery with multi-truth prediction

Wang, Xianzhi, Sheng, Quan Z., Yao, Lina, Li, Xue, Fang, Xiu Susie, Xu, Xiaofei and Benatallah, Boualem (2016). Empowering truth discovery with multi-truth prediction. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983767

Empowering truth discovery with multi-truth prediction

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

2016

Conference Publication

Truth discovery via exploiting implications from multi-source data

Wang, Xianzhi, Sheng, Quan Z., Yao, Lina, Li, Xue, Fang, Xiu Susie, Xu, Xiaofei and Benatallah, Boualem (2016). Truth discovery via exploiting implications from multi-source data. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983791

Truth discovery via exploiting implications from multi-source data