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Bin Liu 0045
Person information
- affiliation: West Virginia University, Morgantown, WV, USA
- affiliation (former): IBM Thomas J. Watson Research Center, Center for Computational Health, Yorktown Heights, USA
- affiliation (PhD): Rutgers University, Piscataway, NJ, USA
Other persons with the same name
- Bin Liu — disambiguation page
- Bin Liu 0001
— Tsinghua University, Department of Computer Science and Technology, Laboratory of Broadband Network Switching Technology and Communications, Beijing, China (and 1 more)
- Bin Liu 0002 — NEC Labs America (and 1 more)
- Bin Liu 0003
- Bin Liu 0004 — Samsung (and 1 more)
- Bin Liu 0005 — GLC Asset Management (and 1 more)
- Bin Liu 0006 — University of California, Los Angeles, CA, USA
- Bin Liu 0007 — EDA Lab, Department of Computer Science and Technology, Tsinghua University
- Bin Liu 0008 — Information Engineering University, China
- Bin Liu 0009
- Bin Liu 0010 — Georgia Institute of Technology
- Bin Liu 0011 — Henan Agricultural University, Department of Management Science, Zhengzhou, China (and 1 more)
- Bin Liu 0012 — Telecom ParisTech, France
- Bin Liu 0013 — Huazhong University of Science and Technology
- Bin Liu 0014
- Bin Liu 0015 — State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University
- Bin Liu 0016
- Bin Liu 0017
- Bin Liu 0018 — Tongji University, Shanghai, China
- Bin Liu 0019
- Bin Liu 0021
- Bin Liu 0022
- Bin Liu 0023
- Bin Liu 0024
- Bin Liu 0025
- Bin Liu 0026
- Bin Liu 0027
- Bin Liu 0028
- Bin Liu 0029
- Bin Liu 0030
- Bin Liu 0031
- Bin Liu 0032
- Bin Liu 0033
- Bin Liu 0034
- Bin Liu 0035
- Bin Liu 0036
- Bin Liu 0037 — University of California, Davis, Department of Electrical and Computer Engineering, CA, USA
- Bin Liu 0038
- Bin Liu 0039
- Bin Liu 0040
- Bin Liu 0041
- Bin Liu 0042
- Bin Liu 0043 — Southeast University, Zhong-Da Hospital, Department of Radiology, Nanjing, China
- Bin Liu 0044 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Bin Liu 0046
- Bin Liu 0047
- Bin Liu 0048
- Bin Liu 0049
- Bin Liu 0050
- Bin Liu 0051
- Bin Liu 0052
- Bin Liu 0053
- Bin Liu 0054
- Bin Liu 0055
- Bin Liu 0056
- Bin Liu 0057
- Bin Liu 0058
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2020 – today
- 2024
- [j10]Chuanbo Hu, Bin Liu, Xin Li
Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. Inf. Manag. 61(7): 104010 (2024) - [i10]Chuanbo Hu, Bin Liu, Minglei Yin, Yilu Zhou, Xin Li:
Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps. CoRR abs/2407.06309 (2024) - 2023
- [j9]Chuanbo Hu, Bin Liu
Fine-grained classification of drug trafficking based on Instagram hashtags. Decis. Support Syst. 165: 113896 (2023) - [j8]Xingwei Zhang
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework. IEEE Trans. Comput. Soc. Syst. 10(5): 2847-2859 (2023) - [j7]Zijun Yao
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. 41(4): 99:1-99:29 (2023) - [c18]Mohsen Nayebi Kerdabadi
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. CIKM 2023: 1897-1906 - [i9]Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li:
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework. CoRR abs/2306.07992 (2023) - [i8]Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye:
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. CoRR abs/2307.03699 (2023) - [i7]Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao:
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. CoRR abs/2308.13104 (2023) - 2021
- [j6]Chuanbo Hu
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Trans. Intell. Syst. Technol. 12(5): 59:1-59:23 (2021) - [c17]Chuanbo Hu, Minglei Yin, Bin Liu
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CIKM 2021: 3838-3846 - [c16]Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu:
Data Poisoning Attacks to Deep Learning Based Recommender Systems. NDSS 2021 - [i6]Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu:
Data Poisoning Attacks to Deep Learning Based Recommender Systems. CoRR abs/2101.02644 (2021) - [i5]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. CoRR abs/2108.08301 (2021) - [i4]Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. CoRR abs/2108.08920 (2021) - 2020
- [j5]Bin Liu
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. 32(7): 1276-1289 (2020) - [c15]Bin Liu
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. IEEE BigData 2020: 1186-1195
2010 – 2019
- 2018
- [j4]Neil Zhenqiang Gong, Bin Liu
Attribute Inference Attacks in Online Social Networks. ACM Trans. Priv. Secur. 21(1): 3:1-3:30 (2018) - [j3]Jie Liu
Personalized Air Travel Prediction: A Multi-factor Perspective. ACM Trans. Intell. Syst. Technol. 9(3): 30:1-30:26 (2018) - [c14]Bin Liu
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI 2018: 101-108 - [c13]Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong:
Representing Urban Functions through Zone Embedding with Human Mobility Patterns. IJCAI 2018: 3919-3925 - [i3]Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR abs/1802.06476 (2018) - 2016
- [j2]Bin Liu
Structural Analysis of User Choices for Mobile App Recommendation. ACM Trans. Knowl. Discov. Data 11(2): 17:1-17:23 (2016) - [c12]Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong:
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. ICDM 2016: 549-558 - [c11]Yanchi Liu, Chuanren Liu
Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD 2016: 1015-1024 - [c10]Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong:
The Impact of Community Safety on House Ranking. SDM 2016: 459-467 - [c9]Neil Zhenqiang Gong, Bin Liu:
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. USENIX Security Symposium 2016: 979-995 - [i2]Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester:
Structural Analysis of User Choices for Mobile App Recommendation. CoRR abs/1605.07980 (2016) - [i1]Neil Zhenqiang Gong, Bin Liu:
You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. CoRR abs/1606.05893 (2016) - 2015
- [j1]Bin Liu
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Trans. Knowl. Data Eng. 27(5): 1167-1179 (2015) - [c8]Bing Hu, Bin Liu
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM 2015: 1111-1120 - [c7]Bin Liu
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM 2015: 315-324 - [c6]Spiros E. Papadimitriou, Evangelos E. Papalexakis
Remix in 3D Printing: What your Sources say About You. WWW (Companion Volume) 2015: 367-368 - 2014
- [c5]Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong:
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. SDM 2014: 470-478 - 2013
- [c4]Bin Liu, Haifeng Chen, Abhishek B. Sharma, Guofei Jiang, Hui Xiong:
Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems. IEEE BigData 2013: 631-638 - [c3]Bin Liu
Learning geographical preferences for point-of-interest recommendation. KDD 2013: 1043-1051 - [c2]Bin Liu
Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness. SDM 2013: 396-404
2000 – 2009
- 2008
- [c1]Qingming Yao, Hui Gao, Bin Liu, Fei-Yue Wang:
MODEL: moving object detection and localization in wireless networks based on small-scale fading. SenSys 2008: 451-452
Coauthor Index
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