Bin Liu

According to our database, Bin Liu authored at least 28 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.

Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li

ACM Trans. Inf. Syst., October, 2023

Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework.

Xingwei Zhang, Xiaolong Zheng, Bin Liu, Xiao Wang, Wenji Mao, Daniel Dajun Zeng, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., October, 2023

Fine-grained classification of drug trafficking based on Instagram hashtags.

Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li

Decis. Support Syst., 2023

Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media.

Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye

CoRR, 2023

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records.

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion.

Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye

ACM Trans. Intell. Syst. Technol., 2021

Data Poisoning Attacks to Deep Learning Based Recommender Systems.

Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach.

Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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 Trans. Knowl. Data Eng., 2020

Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning.

Bin Liu, Ying Li, Kenney Ng

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Personalized Air Travel Prediction: A Multi-factor Perspective.

Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang

ACM Trans. Intell. Syst. Technol., 2018

Attribute Inference Attacks in Online Social Networks.

Neil Zhenqiang Gong, Bin Liu

ACM Trans. Priv. Secur., 2018

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.

Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

CoRR, 2018

Representing Urban Functions through Zone Embedding with Human Mobility Patterns.

Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Structural Analysis of User Choices for Mobile App Recommendation.

Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester

ACM Trans. Knowl. Discov. Data, 2016

You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.

Neil Zhenqiang Gong, Bin Liu

Proceedings of the 25th USENIX Security Symposium, 2016

The Impact of Community Safety on House Ranking.

Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.

Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.

Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.

Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao

IEEE Trans. Knowl. Data Eng., 2015

Remix in 3D Printing: What your Sources say About You.

Spiros E. Papadimitriou, Evangelos E. Papalexakis, Bin Liu, Hui Xiong

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.

Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.

Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.

Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness.

Bin Liu, Hui Xiong

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Learning geographical preferences for point-of-interest recommendation.

Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems.

Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013