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2019

Conference Publication

Identification of functional connectivity features in depression subtypes using a data-driven approach

Li, Xingjuan, Burnham, Samantha, Fripp, Jurgen, Li, Yu, Li, Xue, Fazlollahi, Amir and Bourgeat, Pierrick (2019). Identification of functional connectivity features in depression subtypes using a data-driven approach. International Workshop on Graph Learning in Medical Imaging (GLMI 2019), Shenzhen, China, 17-19 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35817-4_12

Identification of functional connectivity features in depression subtypes using a data-driven approach

2019

Conference Publication

DBRec: dual-bridging recommendation via discovering latent groups

Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Liu, Liangchen, Li, Chaojie, Chen, Weitong, Yang, Yin, Tu, Hongkui and Li, Xue (2019). DBRec: dual-bridging recommendation via discovering latent groups. CIKM '19, Beijing, China, 3-7 November 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357892

DBRec: dual-bridging recommendation via discovering latent groups

2019

Conference Publication

Personalised medicine in critical care using Bayesian reinforcement learning

Utomo, Chandra Prasetyo, Kurniawati, Hanna, Li, Xue and Pokharel, Suresh (2019). Personalised medicine in critical care using Bayesian reinforcement learning. ADMA 2019: Advanced Data Mining and Applications, Dalian, China, 21–23 November, 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_47

Personalised medicine in critical care using Bayesian reinforcement learning

2019

Conference Publication

Learning private neural language modeling with attentive aggregation

Ji, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464

Learning private neural language modeling with attentive aggregation

2019

Conference Publication

Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks

Zhang, Yanjun, Zhao, Xin, Li, Xue, Zhong, Mingyang, Curtis, Caitlin and Chen, Chen (2019). Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks. Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11-15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3290983

Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks

2019

Conference Publication

Exploiting centrality information with graph convolutions for network representation learning

Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Peng, Wen-Chih and Li, Xue (2019). Exploiting centrality information with graph convolutions for network representation learning. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00059

Exploiting centrality information with graph convolutions for network representation learning

2019

Conference Publication

RecKGC: Integrating Recommendation with Knowledge Graph Completion

Ma, Jingwei, Zhong, Mingyang, Wen, Jiahui, Chen, Weitong, Zhou, Xiaofang and Li, Xue (2019). RecKGC: Integrating Recommendation with Knowledge Graph Completion. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_18

RecKGC: Integrating Recommendation with Knowledge Graph Completion

2019

Conference Publication

AIR: Attentional intention-aware recommender systems

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Yan, Rui, Nguyen, Quoc Viet Hung and Li, Xue (2019). AIR: Attentional intention-aware recommender systems. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00035

AIR: Attentional intention-aware recommender systems

2019

Conference Publication

Causality discovery with domain knowledge for drug-drug interactions discovery

Subpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin, Scells, Harrisen and Zuccon, Guido (2019). Causality discovery with domain knowledge for drug-drug interactions discovery. 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_46

Causality discovery with domain knowledge for drug-drug interactions discovery

2018

Conference Publication

A combined feature approach for speaker segmentation using convolution neural network

Zhong, Jiang, Zhang, Pan and Li, Xue (2018). A combined feature approach for speaker segmentation using convolution neural network. 18th Pacific-Rim Conference on Multimedia, PCM 2017, Harbin, China, 28-29 September 2017. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-77383-4_54

A combined feature approach for speaker segmentation using convolution neural network

2018

Conference Publication

Learning Concept Hierarchy from Short Texts Using Context Coherence

Almars, Abdulqader, Li, Xue, Ibrahim, Ibrahim A. and Zhao, Xin (2018). Learning Concept Hierarchy from Short Texts Using Context Coherence. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, 12 - 15 November 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-02922-7_22

Learning Concept Hierarchy from Short Texts Using Context Coherence

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

2018

Conference Publication

Feature extraction for smart sensing using multi-perspectives transformation

Al-Maskari, Sanad, Ibrahim, Ibrahim A., Li, Xue, Abusham, Eimad and Almars, Abdulqader (2018). Feature extraction for smart sensing using multi-perspectives transformation. Australasian Database Conference, Gold Coast, QLD, Australia, 24-27 May 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-92013-9_19

Feature extraction for smart sensing using multi-perspectives transformation