Bin Liu

44 papers A* 7A 7Misc 2Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation.
CoRR
Minglei Yin, Chuanbo Hu, Bin Liu, Neil Zhenqiang Gong, Yanfang Ye, Xin Li
2026 J jnl
Multimodal chain-of-thought reasoning with large language models to protect children from age-inappropriate apps.
Inf. Manag.
Chuanbo Hu, Bin Liu, Minglei Yin, Yilu Zhou, Xin Li
2025 J jnl
Discovering Time-aware Hidden Dependencies with Personalized Graphical Structure in Electronic Health Records.
ACM Trans. Knowl. Discov. Data
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Bin Liu, Mei Liu, Zijun Yao
2025 J jnl
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework.
ACM Trans. Manag. Inf. Syst.
Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
2024 J jnl
Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media.
Inf. Manag.
Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye, Minglei Yin
2024 J jnl
Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps.
CoRR
Chuanbo Hu, Bin Liu, Minglei Yin, Yilu Zhou, Xin Li
2024 J jnl
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation.
CoRR
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023 A conf
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records.
CIKM
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023 J jnl
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records.
CoRR
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao
2023 J jnl
Fine-grained classification of drug trafficking based on Instagram hashtags.
Decis. Support Syst.
Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li
2023 J jnl
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.
ACM Trans. Inf. Syst.
Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
2023 J jnl
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework.
CoRR
Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
2023 J jnl
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework.
IEEE Trans. Comput. Soc. Syst.
Xingwei Zhang, Xiaolong Zheng, Bin Liu, Xiao Wang, Wenji Mao, Daniel Dajun Zeng, Fei-Yue Wang
2023 J jnl
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media.
CoRR
Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye
2021 A* conf
Data Poisoning Attacks to Deep Learning Based Recommender Systems.
NDSS
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
2021 J jnl
Data Poisoning Attacks to Deep Learning Based Recommender Systems.
CoRR
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
2021 A conf
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach.
CIKM
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021 J jnl
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach.
CoRR
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021 J jnl
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion.
CoRR
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2021 J jnl
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion.
ACM Trans. Intell. Syst. Technol.
Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye
2020 J jnl
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach.
IEEE Trans. Knowl. Data Eng.
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2020 Misc conf
Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology.
AMIA
Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash
2020 — conf
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning.
IEEE BigData
Bin Liu, Ying Li, Kenney Ng
2018 J jnl
Attribute Inference Attacks in Online Social Networks.
ACM Trans. Priv. Secur.
Neil Zhenqiang Gong, Bin Liu
2018 A* conf
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach.
AAAI
Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
2018 J jnl
Personalized Air Travel Prediction: A Multi-factor Perspective.
ACM Trans. Intell. Syst. Technol.
Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
2018 A* conf
Representing Urban Functions through Zone Embedding with Human Mobility Patterns.
IJCAI
Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong
2018 J jnl
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.
CoRR
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2016 A* conf
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.
ICDM
Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong
2016 J jnl
Structural Analysis of User Choices for Mobile App Recommendation.
CoRR
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016 J jnl
Structural Analysis of User Choices for Mobile App Recommendation.
ACM Trans. Knowl. Discov. Data
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016 A conf
The Impact of Community Safety on House Ranking.
SDM
Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong
2016 A* conf
Unified Point-of-Interest Recommendation with Temporal Interval Assessment.
KDD
Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
2016 A* conf
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.
USENIX Security Symposium
Neil Zhenqiang Gong, Bin Liu
2016 J jnl
You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.
CoRR
Neil Zhenqiang Gong, Bin Liu
2015 J jnl
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng.
Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao
2015 A conf
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.
WSDM
Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong
2015 A conf
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.
CIKM
Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin
2015 — conf
Remix in 3D Printing: What your Sources say About You.
WWW (Companion Volume)
Spiros E. Papadimitriou, Evangelos E. Papalexakis, Bin Liu, Hui Xiong
2014 A conf
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.
SDM
Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong
2013 A* conf
Learning geographical preferences for point-of-interest recommendation.
KDD
Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong
2013 — conf
Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems.
IEEE BigData
Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong
2013 A conf
Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness.
SDM
Bin Liu, Hui Xiong
2008 Misc conf
MODEL: moving object detection and localization in wireless networks based on small-scale fading.
SenSys
Qingming Yao, Hui Gao, Bin Liu, Fei-Yue Wang