| Learning geographical preferences for point-of-interest recommendation B Liu, Y Fu, Z Yao, H Xiong Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 502 | 2013 |
| Point-of-interest recommendation in location based social networks with topic and location awareness B Liu, H Xiong Proceedings of the 2013 SIAM International Conference on Data Mining, 396-404, 2013 | 226 | 2013 |
| A General Geographical Probabilistic Factor Model for Point of Interest Recommendation B Liu, H Xiong, S Papadimitriou, Y Fu, Z Yao IEEE Transactions on Knowledge and Data Engineering 27 (5), 1167-1179, 2015 | 196 | 2015 |
| You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors NZ Gong, B Liu Proceedings of the 25th USENIX Security Symposium, 2016 | 136 | 2016 |
| Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference B Liu, D Kong, L Cen, NZ Gong, H Jin, H Xiong Proceedings of the Eighth ACM International Conference on Web Search and …, 2015 | 125 | 2015 |
| Unified Point-of-Interest Recommendation with Temporal Interval Assessment Y Liu, C Liu, B Liu, M Qu, H Xiong Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 122 | 2016 |
| Attribute inference attacks in online social networks NZ Gong, B Liu ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018 | 103 | 2018 |
| POI recommendation: A temporal matching between POI popularity and user regularity Z Yao, Y Fu, B Liu, Y Liu, H Xiong 2016 IEEE 16th international conference on data mining (ICDM), 549-558, 2016 | 102 | 2016 |
| Representing Urban Functions through Zone Embedding with Human Mobility Patterns Z Yao, Y Fu, B Liu, W Hu, H Xiong Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 66 | 2018 |
| Data Poisoning Attacks to Deep Learning Based Recommender Systems H Huang, J Mu, NZ Gong, Q Li, B Liu, M Xu Network and Distributed System Security Symposium (NDSS), 2021 | 53 | 2021 |
| User preference learning with multiple information fusion for restaurant recommendation Y Fu, B Liu, Y Ge, Z Yao, H Xiong Proceedings of the 2014 SIAM international conference on data mining, 470-478, 2014 | 51 | 2014 |
| Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-task Survival Analysis Approach B Liu, Y Li, Z Sun, S Ghosh, K Ng The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 40 | 2018 |
| Structural Analysis of User Choices for Mobile App Recommendation B Liu, Y Wu, NZ Gong, J Wu, H Xiong, M Ester ACM Transactions on Knowledge Discovery from Data 11 (2), 2016 | 37 | 2016 |
| Islet autoimmunity and HLA markers of presymptomatic and clinical type 1 diabetes: joint analyses of prospective cohort studies in Finland, Germany, Sweden, and the US V Anand, Y Li, B Liu, M Ghalwash, E Koski, K Ng, JL Dunne, J Jönsson, ... Diabetes Care 44 (10), 2269-2276, 2021 | 31 | 2021 |
| Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework B Hu, B Liu, NZ Gong, D Kong, H Jin Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 31 | 2015 |
| Incorporating social networks and user opinions for collaborative recommendation: local trust network based method B Liu, Z Yuan Proceedings of the workshop on context-aware movie recommendation, 53-56, 2010 | 29 | 2010 |
| Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach B Liu, Y Li, S Ghosh, Z Sun, K Ng, J Hu IEEE Transactions on Knowledge and Data Engineering 32 (7), 1276-1289, 2020 | 24* | 2020 |
| Personalized air travel prediction: A multi-factor perspective J Liu, B Liu, Y Liu, H Chen, L Feng, H Xiong, Y Huang ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-26, 2017 | 24 | 2017 |
| Integrated approach to model time series dynamics in complex physical systems H Chen, M Ding, B Liu, A Sharma, K Yoshihira, G Jiang US Patent 9,245,235, 2016 | 22 | 2016 |
| Modeling Heterogeneous Time Series Dynamics to Profile Big Sensor Data in Complex Physical Systems B Liu, H Chen, A Sharma, G Jiang, H Xiong 2013 IEEE International Conference on Big Data, 2013 | 22 | 2013 |
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUSTVerified email at ust.hk
