MODEL: moving object detection and localization in wireless networks based on small-scale fading. - Qingming Yao; Hui Gao; Bin Liu 045; Fei-Yue Wang 001 (SenSys, 2008)

Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems. - Bin Liu 045; Haifeng Chen; Abhishek B. Sharma; Guofei Jiang; Hui Xiong 001 (IEEE BigData, 2013)

Learning geographical preferences for point-of-interest recommendation. - Bin Liu 045; Yanjie Fu; Zijun Yao 001; Hui Xiong 001 (KDD, 2013)

Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness. - Bin Liu 045; Hui Xiong 001 (SDM, 2013)

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. - Yanjie Fu; Bin Liu 045; Yong Ge; Zijun Yao 001; Hui Xiong 001 (SDM, 2014)

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. - Bing Hu 001; Bin Liu 045; Neil Zhenqiang Gong; Deguang Kong; Hongxia Jin (CIKM, 2015)

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. - Bin Liu 045; Deguang Kong; Lei Cen; Neil Zhenqiang Gong; Hongxia Jin; Hui Xiong 001 (WSDM, 2015)

Remix in 3D Printing: What your Sources say About You. - Spiros E. Papadimitriou; Evangelos E. Papalexakis; Bin Liu 045; Hui Xiong 001 (WWW (Companion Volume), 2015)

A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. - Bin Liu 045; Hui Xiong 001; Spiros Papadimitriou; Yanjie Fu; Zijun Yao 001 (IEEE Trans. Knowl. Data Eng., 2015)

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. - Zijun Yao 001; Yanjie Fu; Bin Liu 045; Yanchi Liu; Hui Xiong 001 (ICDM, 2016)

Unified Point-of-Interest Recommendation with Temporal Interval Assessment. - Yanchi Liu; Chuanren Liu; Bin Liu 045; Meng Qu; Hui Xiong 001 (KDD, 2016)

The Impact of Community Safety on House Ranking. - Zijun Yao 001; Yanjie Fu; Bin Liu 045; Hui Xiong 001 (SDM, 2016)

You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. - Neil Zhenqiang Gong; Bin Liu 045 (USENIX Security Symposium, 2016)

Structural Analysis of User Choices for Mobile App Recommendation. - Bin Liu 045; Yao Wu; Neil Zhenqiang Gong; Junjie Wu 002; Hui Xiong 001; Martin Ester (ACM Trans. Knowl. Discov. Data, 2016)

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. - Bin Liu 045; Ying Li 053; Zhaonan Sun; Soumya Ghosh; Kenney Ng (AAAI, 2018)

Representing Urban Functions through Zone Embedding with Human Mobility Patterns. - Zijun Yao 001; Yanjie Fu; Bin Liu 045; Wangsu Hu; Hui Xiong 001 (IJCAI, 2018)

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. - Bin Liu 045; Ying Li 053; Soumya Ghosh; Zhaonan Sun; Kenney Ng; Jianying Hu (CoRR, 2018)

Attribute Inference Attacks in Online Social Networks. - Neil Zhenqiang Gong; Bin Liu 045 (ACM Trans. Priv. Secur., 2018)

Personalized Air Travel Prediction: A Multi-factor Perspective. - Jie Liu 007; Bin Liu 045; Yanchi Liu; Huipeng Chen; Lina Feng; Hui Xiong 001; Yalou Huang (ACM Trans. Intell. Syst. Technol., 2018)

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. - Ying Li 053; Bin Liu 045; Vibha Anand; Markus Lundgren; Kenney Ng; Marian Rewers; Riitta Veijola; Mohamed F. Ghalwash (AMIA, 2020)

Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. - Bin Liu 045; Ying Li 053; Kenney Ng (IEEE BigData, 2020)

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. - Bin Liu 045; Ying Li 053; Soumya Ghosh; Zhaonan Sun; Kenney Ng; Jianying Hu (IEEE Trans. Knowl. Data Eng., 2020)

Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. - Chuanbo Hu; Minglei Yin; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (CIKM, 2021)

Data Poisoning Attacks to Deep Learning Based Recommender Systems. - Hai Huang 014; Jiaming Mu; Neil Zhenqiang Gong; Qi Li 002; Bin Liu 045; Mingwei Xu (NDSS, 2021)

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. - Chuanbo Hu; Minglei Yin; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (ACM Trans. Intell. Syst. Technol., 2021)

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. - Mohsen Nayebi Kerdabadi; Arya Hadizadeh Moghaddam; Bin Liu 045; Mei Liu; Zijun Yao 001 (CIKM, 2023)

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework. - Minglei Yin; Bin Liu 045; Neil Zhenqiang Gong; Xin Li 005 (CoRR, 2023)

Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. - Chuanbo Hu; Bin Liu 045; Xin Li 005; Yanfang Ye 001 (CoRR, 2023)

Fine-grained classification of drug trafficking based on Instagram hashtags. - Chuanbo Hu; Bin Liu 045; Yanfang Ye 001; Xin Li 005 (Decis. Support Syst., 2023)

Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework. - Xingwei Zhang; Xiaolong Zheng 001; Bin Liu 045; Xiao Wang 002; Wenji Mao; Daniel Dajun Zeng; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. - Zijun Yao 001; Bin Liu 045; Fei Wang 001; Daby Sow; Ying Li 053 (ACM Trans. Inf. Syst., 2023)

Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps. - Chuanbo Hu; Bin Liu 045; Minglei Yin; Yilu Zhou; Xin Li 005 (CoRR, 2024)

SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation. - Mohsen Nayebi Kerdabadi; Arya Hadizadeh Moghaddam; Bin Liu 045; Mei Liu; Zijun Yao 001 (CoRR, 2024)

Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. - Chuanbo Hu; Bin Liu 045; Xin Li 005; Yanfang Ye 001; Minglei Yin (Inf. Manag., 2024)

Discovering Time-aware Hidden Dependencies with Personalized Graphical Structure in Electronic Health Records. - Arya Hadizadeh Moghaddam; Mohsen Nayebi Kerdabadi; Bin Liu 045; Mei Liu; Zijun Yao 001 (ACM Trans. Knowl. Discov. Data, 2025)