Bin Liu
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Journal Papers

  1. Knowledge-prompted ChatGPT: Enhancing Drug Trafficking Detection on Social Media
    Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye, Minglei Yin
    Information & Management (I&M), Vol. 61, No. 6, pp. 104010, 2024.

  2. Ontology-Aware Prescription Recommendation in Treatment Pathways using Multi-Evidence Healthcare Data
    Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
    ACM Transactions on Information Systems (TOIS), Vol. 41, No. 4, Article 99, 2023.

  3. Fine-grained Classification of Drug Trafficking Based on Instagram Hashtags
    Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li
    Decision Support Systems (DSS), Vol. 165, pp. 113896, 2023.

  4. Towards Human-machine Recognition Alignment: An Adversarilly Robust Multi-modal Retrieval Hashing Framework
    Xingwei Zhang, Xiaolong Zheng, Bin Liu, Xiao Wang, Wenji Mao, Daniel Dajun Zeng, Fei-Yue Wang
    IEEE Transactions on Computational Social Systems (TCSS), vol. 10, no. 5, pp. 2847-2859, Oct. 2023.

  5. Spatiotemporal Correlation Analysis of Hydraulic Fracturing and Stroke in the United States
    Chuanbo Hu, Bin Liu, Shuo Wang, Zhenduo Zhu, Amelia Adcock, James Simpkins, Xin Li
    International Journal of Environmental Research and Public Health, Vol.19, No.17, 2022.

  6. Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
    Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
    ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 12, No. 5, 2021

  7. Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S.
    Vibha Anand, Ying Li, Bin Liu, Mohamed Ghalwash, Eileen Koski, Kenney Ng, Jessica L. Dunne, Josefine Jönsson, Christiane Winkler, Mikael Knip, Jorma Toppari, Jorma Ilonen, Michael B. Killian, Brigitte I. Frohnert, Markus Lundgren, Anette-Gabriele Ziegler, William Hagopian, Riitta Veijola, Marian Rewers
    Diabetes Care, Vol. 44, No. 10, pp. 2269–2276, 2021 (Impact factor: 19.11)

  8. Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach
    Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.32, No.7, pp. 1276–1289, 2020.

  9. Attribute Inference Attacks in Online Social Networks
    Neil Zhenqiang Gong, Bin Liu
    ACM Transactions on Privacy and Security (TOPS), Vol. 21, No. 1, Article 3, 2018.

  10. Personalized Air Travel Prediction: A Multi-factor Perspective
    Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
    ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 9, No. 3, Article 30, 2017.

  11. Structural Analysis of User Choices for Mobile App Recommendation
    Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, and Martin Ester
    ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 11, No. 2, Article 17, 2016.

  12. A General Geographical Probabilistic Factor Model for Point of Interest Recommendation
    Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, and Zijun Yao
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.27, No.5, pp. 1167–1179, 2015.

Conference Papers

  1. Contrastive Learning of Temporality Distinctiveness for Survival Analysis in Electronic Health Records
    Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu and Zijun Yao
    ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023.

  2. Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
    Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
    ACM International Conference on Information and Knowledge Management (CIKM 2021), November 2021.
    Best Applied Paper Award Runner Up

  3. Data Poisoning Attacks to Deep Learning Based Recommender Systems
    Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
    Network and Distributed System Security Symposium (NDSS 2021), February 2021.

  4. Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning
    Bin Liu, Ying Li, Kenney Ng
    2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020 (15.5% acceptance rate).

  5. Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology
    Ying Li*, Bin Liu*, Vibha Anand, Jessica L. Dunne, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed Ghalwash
    AMIA 2020 Annual Symposium (AMIA 2020), 2020. (* equal contributions)

  6. Representing Urban Functions through Zone Embedding with Human Mobility Patterns
    Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, and Hui Xiong
    27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July, 2018.

  7. Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-task Survival Analysis Approach
    Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
    Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, February, 2018. (24.5% acceptance rate)

  8. POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
    Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong
    2016 IEEE Conference on Data Mining (ICDM 2016), Barcelona, Spain, December, 2016.

  9. Unified Point-of-Interest Recommendation with Temporal Interval Assessment
    Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
    22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, CA, August, 2016.

  10. You Are Who You Know and How You Behave: Attribute Inference Attacks via Users’ Social Friends and Behaviors
    Neil Zhenqiang Gong, Bin Liu
    25th USENIX Security Symposium (USENIX Security ’16), Austin, TX, August, 2016 (15.6% acceptance rate)[slides].

  11. The Impact of Community Safety on House Ranking
    Zijun Yao, Yanjie Fu, Bin Liu, and Hui Xiong
    2016 SIAM International Conference on Data Mining (SDM 2016), Miami, Florida, May, 2016.

  12. Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework
    Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, and Hongxia Jin
    24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct, 2015. (full paper, 17.9% acceptance)

  13. Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
    Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, and Hui Xiong
    Eighth ACM International Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China, February, 2015. (full paper, 16.4% acceptance)

  14. User Preference Learning with Multiple Information Fusion for Restaurant Recommendation
    Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao and Hui Xiong
    2014 SIAM International Conference on Data Mining (SDM 2014), Philadelphia, PA, April, 2014.

  15. Modeling Heterogeneous Time Series Dynamics to Profile Big Sensor Data in Complex Physical Systems
    Bin Liu, Haifeng Chen, Abhishek Sharma, Guofei Jiang and Hui Xiong
    2013 IEEE International Conference on Big Data (IEEE BigData 2013), Santa Clara, CA, 2013. (regular paper, acceptance rate 17.37%).

  16. Learning Geographical Preferences for Point-of-Interest Recommendation
    Bin Liu, Yanjie Fu, Zijun Yao and Hui Xiong
    19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013), Chicago IL, 2013. (full paper, 17.4% acceptance).

  17. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness
    Bin Liu and Hui Xiong
    2013 SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May, 2013. (full paper, oral acceptance 14.37%).