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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

2016

Journal Article

An approach to feature selection for continuous features of objects

Hong-Wei, Wang, Guo-He, Li and Xue, Li (2016). An approach to feature selection for continuous features of objects. International Journal of Multimedia and Ubiquitous Engineering, 11 (4), 67-78. doi: 10.14257/ijmue.2016.11.4.08

An approach to feature selection for continuous features of objects

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

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

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

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

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

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

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

Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

Yao, Lina, Sheng, Quan Z., Li, Xue, Wang, Sen, Gu, Tao, Ruan, Wenjie and Zou, Wan (2016). Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data. 15th IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, United States, 14-17 November 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2015.102

Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

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

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

2015

Journal Article

Multi-label classification via learning a unified object-label graph with sparse representation

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Gao, Byron J., Li, Xue and Wang, Sen (2015). Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web, 19 (6), 1-25. doi: 10.1007/s11280-015-0376-7

Multi-label classification via learning a unified object-label graph with sparse representation

2015

Journal Article

Compact representation for large-scale unconstrained video analysis

Wang, Sen, Pan, Pingbo, Long, Guodong, Chen, Weitong, Li, Xue and Sheng, Quan Z. (2015). Compact representation for large-scale unconstrained video analysis. World Wide Web, 19 (2), 231-246. doi: 10.1007/s11280-015-0354-0

Compact representation for large-scale unconstrained video analysis