Publications by topic

[by year][by topic]

Healthcare analytics

• 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 for the T1DI Study Group
  Diabetes Care, 2021 (Impact factor: 16.02)

• 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).

• 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)

• 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.

• 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)

Recommender systems

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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)

• 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.

• 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).

• 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%).

Privacy/Security

• 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.

• 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.

• 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].

• 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)

• 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)

Multimodal Learning (Vision + Language)

• 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)

• 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), 2021

Spatio-Temporal Analytics

• 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.

• 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.

• 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%).

Workshop, Poster and Miscellaneous

• Predicting Onset of Type 1 Diabetes using a Novel Interaction Model
  Bin Liu, Vibha Anand, Mohamed Ghalwash, Kenney Ng, Jessica Dunne, Riitta Veijola, Marian Rewers, Markus Lundgren, for the T1DI Study Group
  American Diabetes Association’s 79th Scientific Sessions (ADA 2019)
  

• Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity
  Bin Liu, Mohamed Ghalwash, Vibha Anand, Eileen Koski, Kenney Ng, Jessica Dunne, Markus Lundgren, Helena Elding Larsson, William Hagopian, Riitta Veijola, Brigitte I Frohnert, for the T1DI Study Group
  American Diabetes Association’s 79th Scientific Sessions (ADA 2019)

• Remix in 3D Printing: What your Sources say About You
  Spiros Papadimitriou, Evangelos Papalexakis, Bin Liu, and Hui Xiong
  24th International Conference on World Wide Web Companion, (WWW ’15 Web Science Track), Florence, Italy, May 2015

• Incorporating Social Networks and User Opinions for Collaborative Recommendation: Local Trust Network based Method
  Bin Liu and Zheng Yuan
  ACM RecSys’10 Workshop on Context-aware Movie Recommendation, (CAMRa ’10), pages 53-56, 2010.

Patents

• Integrated Approach to Model Time Series Dynamics in Complex Physical Systems
  Haifeng Chen, Min Ding, Bin Liu, Abhishek Sharma, Kenji Yoshihira, Guofei Jiang
  US 9,245,235, granted, 2016.

• Data analytic engine towards the self-management of complex physical systems
  Haifeng Chen, Min Ding, Bin Liu, Abhishek Sharma, Kenji Yoshihira, Guofei Jiang
  US 14/050,808, filed.