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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

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

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

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

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

2015

Conference Publication

Invariant event tracking on social networks

Unankard, Sayan, Li, Xue and Long, Guodong (2015). Invariant event tracking on social networks. 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, Hanoi, Vietnam, 20-23 April 2015. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-18123-3_31

Invariant event tracking on social networks

2015

Conference Publication

An integrated Bayesian approach for effective multi-truth discovery

Wang, Xianzhi, Sheng, Quan Z., Fang, Xiu Susie, Yao, Lina, Xu, Xiaofei and Li, Xue (2015). An integrated Bayesian approach for effective multi-truth discovery. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806443

An integrated Bayesian approach for effective multi-truth discovery

2015

Conference Publication

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

Ruan, Wenjie, Yao, Lina, Sheng, Quan Z., Falkner, Nickolas J.G., Li, Xue and Gu, Tao (2015). TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MOBIQUITOUS 2015, Coimbra, Portugal, 22-24 July 2015. Gent, Belgium: ICST. doi: 10.4108/eai.22-7-2015.2260072

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

2015

Conference Publication

Unsupervised feature analysis with class margin optimization

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Yao, Lina, Li, Xue and Sheng, Quan Z. (2015). Unsupervised feature analysis with class margin optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 7-11 September 2015. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-23528-8_24

Unsupervised feature analysis with class margin optimization

2015

Conference Publication

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Gu, Tao, Li, Xue, Falkner, Nickolas J.G. and Yang, Zhi (2015). RF-care: device-free posture recognition for elderly people using a passive RFID tag array. 12th International Conference on Mobile and Ubiquitous Systems, Coimbra, Portugal, 22-24 July 2015. ICST. doi: 10.4108/icst.mobiquitous.2015.260064

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

2015

Conference Publication

Approximate truth discovery via problem scale reduction

Wang, Xianzhi, Sheng, Quan Z., Fang, Xiu Susie, Li, Xue, Xu, Xiaofei and Yao, Lina (2015). Approximate truth discovery via problem scale reduction. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806444

Approximate truth discovery via problem scale reduction

2014

Conference Publication

Dynamic background learning through deep auto-encoder networks

Xu, Pei, Liu, Qihe, Ye, Mao, Yang, Yi, Li, Xue and Ding, Jian (2014). Dynamic background learning through deep auto-encoder networks. 2014 ACM Conference on Multimedia, MM 2014, Orlando, FL, United States, 3 - 7 November 2014. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2647868.2654914

Dynamic background learning through deep auto-encoder networks