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2019 Conference Publication Distributionally Robust Semi-Supervised Learning for People-Centric SensingChen, Kaixuan, Yao, Lina, Zhang, Dalin, Chang, Xiaojun, Long, Guodong and Wang, Sen (2019). Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI United States, 27 January – 1 February 2019. Menlo Park, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v33i01.33013321 |
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2019 Conference Publication Deep interpretable mortality model for intensive care unit risk predictionShi, Zhenkun, Chen, Weitong, Liang, Shining, Zuo, Wanli, Yue, Lin and Wang, Sen (2019). Deep interpretable mortality model for intensive care unit risk prediction. International Conference on Advanced Data Mining and Applications, Dalian, China, 21-23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_45 |
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2019 Conference Publication Detecting suicidal ideation with data protection in online communitiesJi, Shaoxiong, Long, Guodong, Pan, Shirui, Zhu, Tianqing, Jiang, Jing and Wang, Sen (2019). Detecting suicidal ideation with data protection in online communities. DASFAA 2019: Database Systems for Advanced Applications , Chiang Mai, Thailand, 22-25 April, 2019. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-18590-9_17 |
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2018 Conference Publication Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention ModelZhang, Dalin, Yao, Lina, Chen, Kaixuan and Wang, Sen (2018). Ready for Use : Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM '18: The 27th ACM International Conference on Information and Knowledge Management, Torino, Italy, 22 - 26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3269259 |
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2018 Conference Publication Multi-modality Sensor Data Classification with Selective AttentionZhang, Xiang, Yao, Lina, Huang, Chaoran, Wang, Sen, Tan, Mingkui, Long, Guodong and Wang, Can (2018). Multi-modality Sensor Data Classification with Selective Attention. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/432 |
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2018 Conference Publication A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on TwitterZhao, Yunwei, Wang, Can, Chi, Chi-Hung, Lam, Kwok-Yan and Wang, Sen (2018). A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/169 |
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2018 Conference Publication NeuRec: On Nonlinear Transformation for Personalized RankingZhang, Shuai, Yao, Lina, Sun, Aixin, Wang, Sen, Long, Guodong and Dong, Manqing (2018). NeuRec: On Nonlinear Transformation for Personalized Ranking. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/510 |
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2018 Conference Publication Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence ModelingShen, Tao, Zhou, Tianyi, Long, Guodong, Jiang, Jing, Wang, Sen and Zhang, Chengqi (2018). Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13-19 July 2018. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2018/604 |
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2018 Conference Publication Trace ratio optimization with feature correlation mining for multiclass discriminant analysisBoroujeni, Forough Rezaei, Wang, Sen, Li, Zhihui, West, Nicholas, Stantic, Bela, Yao, Lina and Long, Guodong (2018). Trace ratio optimization with feature correlation mining for multiclass discriminant analysis. 32nd AAAI Conference on Artificial Intelligence, New Orleans, LA, United States, 2 - 7 February 2018. Palo Alto, CA United States: AAAI press. doi: 10.1609/aaai.v32i1.11805 |
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2018 Conference Publication Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interfaceZhang, Dalin, Yao, Lina, Zhang, Xiang, Wang, Sen, Chen, Weitong and Boots, Robert (2018). Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, LA, United States, 2-7 February 2018. Palo Alto, CA, United States: AAAI press. doi: 10.1609/aaai.v32i1.11496 |
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2018 Conference Publication Fuzzy integral optimization with deep Q-network for EEG-based intention recognitionZhang, Dalin, Yao, Lina, Wang, Sen, Chen, Kaixuan, Yang, Zheng and Benatallah, Boualem (2018). Fuzzy integral optimization with deep Q-network for EEG-based intention recognition. 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, 25–28 May 2023. Weinheim, Germany: Springer. doi: 10.1007/978-3-319-93034-3_13 |
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2018 Conference Publication EEG-based motion intention recognition via multi-task RNNsChen, 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 |
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2018 Conference Publication Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care UnitChen, 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 |
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2017 Conference Publication Provenance-based rumor detectionDuong, Chi Thang, Nguyen, Quoc Viet Hung, Wang, Sen and Stantic, Bela (2017). Provenance-based rumor detection. 28th Australasian Database Conference, ADC 2017, Brisbane, QLD Australia, 25–28 September 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-68155-9_10 |
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2017 Conference Publication PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linkingWang, 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 |
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2017 Conference Publication Uncovering locally discriminative structure for feature analysisWang, 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 |
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2017 Conference Publication Multi-view correlated feature learning by uncovering shared componentXue, Xiaowei, Nie, Feiping, Wang, Sen, Chang, Xiaojun, Stantic, Bela and Yao, Min (2017). Multi-view correlated feature learning by uncovering shared component. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA United States, 4–9 February 2017. Washington, DC United States: AAAI Press. doi: 10.1609/aaai.v31i1.10823 |
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2017 Conference Publication Improving chinese sentiment analysis via segmentation-based representation using parallel CNNHao, Yazhou, Zheng, Qinghua, Lan, Yangyang, Li, Yufei, Wang, Meng, Wang, Sen and Li, Chen (2017). Improving chinese sentiment analysis via segmentation-based representation using parallel CNN. 13th International Conference on Advanced Data Mining and Applications ADMA 2017, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-69179-4_47 |
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2016 Conference Publication Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing dataYao, 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 |
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2016 Conference Publication Classification based on compressive multivariate time seriesUtomo, 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 |
