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ORCIDXiao Liu 0016
Person information
- affiliation: Arizona State University, Department of Information Systems, Tempe, AZ, USA
- affiliation (former): University of Utah, Salt Lake City, UT, USA
- affiliation (former): University of Arizona, Tucson, AZ, USA
Other persons with the same name
- Xiao Liu — disambiguation page
- Xiao Liu 0001
![[0000-0001-5514-021X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5514-021X")
— University College London, Department of Electronic and Electrical Engineering, UK - Xiao Liu 0002 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, China (and 4 more)
- Xiao Liu 0003 — South China University of Technology, School of Civil and Transportation Engineering, Guangzhou, China
- Xiao Liu 0004 — Deakin University, School of Information Technology, Melbourne, Australia (and 3 more)
- Xiao Liu 0005 — Tongji University, School of Economics and Management, Shanghai, China
- Xiao Liu 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xiao Liu 0007 — Central South University, School of Information Science and Engineering, Changsha, China
- Xiao Liu 0009 — University of Technology of Compiègne, France
- Xiao Liu 0010 — Virginia Tech, Blacksburg, VA, USA
- Xiao Liu 0011 — University of California, Berkeley, CA, USA (and 1 more)
- Xiao Liu 0012 — Zhejiang University, College of Computer Science, Hangzhou, China
- Xiao Liu 0013 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiao Liu 0014 — Xiamen University, China
- Xiao Liu 0015 — Carnegie Mellon University, Tepper School of Business, Pittsburgh, PA, USA
- Xiao Liu 0017 — University of International Business and Economics, School of Banking and Finance, Beijing, China
- Xiao Liu 0018 — Queen Mary University of London, School of Electronic Engineering and Computer Science, London, UK
- Xiao Liu 0019 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Xiao Liu 0020 — Dalhousie University, Department of Electrical and Computer Engineering, Halifax, Canada
- Xiao Liu 0021 — Shanxi Transportation Research Institute, Shanxi Engineering Research Center for Road Intelligent Monitoring, Taiyuan, China
- Xiao Liu 0022 — Baidu Inc., Department of Computer Vision Technology, Beijing, China
- Xiao Liu 0023 — Sun Yat-sen University, Guangdong Key Laboratory of Information Security Technology, Guangzhou, China
- Xiao Liu 0024 — University of Maryland Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
- Xiao Liu 0025 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 1 more)
- Xiao Liu 0026 — China University of Geosciences, Three Gorges Research Center for Geo-Hazards of the Ministry of Education, Wuhan, China
- Xiao Liu 0027 — Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Xiao Liu 0028 — Beihang University, School of Biological Science and Medical Engineering, Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing, China
- Xiao Liu 0029 — Microsoft Research Asia, Beijing, China (and 1 more)
- Xiao Liu 0030 — University of Massachusetts Amherst, MA, USA (and 1 more)
- Xiao Liu 0031 — National University of Defense Technology, College of Computer Science and Technology, Changsha, China
- Xiao Liu 0032 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- Xiao Liu 0033 — University of California San Diego, La Jolla, CA, USA
- Xiao Liu 0034 — University of California, Davis, CA, USA
- Xiao Liu 0035 — National University of Singapore, Department of Computer Science, Singapore
- Xiao Liu 0036 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Xiao Liu 0037 — University of Edinburgh, School of Engineering, UK (and 1 more)
- Xiao Liu 0038 — Albora Technologies, London, UK (and 1 more)
- Xiao Liu 0039 — Pennsylvania State University, Department of Biomedical Engineering, Institute for CyberScience, PA, USA (and 2 more)
- Xiao Liu 0040 — Tomorrow Advancing Life, TAL, Education Group, Beijing, China (and 1 more)
- Xiao Liu 0041 — Chongqing University, School of Microelectronics and Communication Engineering, China
- Xiao Liu 0042 — Megvii Technology Inc., Face++, Beijing, China
- Xiao Liu 0043 — Nanjing University of Science and Technology, Department of Cyber Science and Engineering, China
- Xiao Liu 0044 — University of Arkansas, Department of Industrial Engineering, Fayetteville, AR, USA
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2020 – today
- 2023
[j6]Jiaheng Xie, Yidong Chai, Xiao Liu:
Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. 40(2): 541-579 (2023)- 2022
- [j5]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng, Xiao Fang:
Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. MIS Q. 46(1): 341-372 (2022) - [c14]Jiaheng Xie, Yidong Chai, Xiao Liu:
An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS 2022: 1-10 - 2021
- [j4]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. J. Manag. Inf. Syst. 38(1): 166-195 (2021) - [e3]Aravinda Garimella, Prasanna P. Karhade, Abhishek Kathuria, Xiao Liu, Jennifer J. Xu, Kexin Zhao:
The Role of e-Business during the Time of Grand Challenges - 19th Workshop on e-Business, WeB 2020, Virtual Event, December 12, 2020, Revised Selected Papers. Lecture Notes in Business Information Processing 418, Springer 2021, ISBN 978-3-030-79453-8 [contents] - [i1]Jiaheng Xie, Yidong Chai, Xiao Liu:
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR abs/2101.01076 (2021) - 2020
- [e2]Karl R. Lang, Jennifer J. Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan:
Smart Business: Technology and Data Enabled Innovative Business Models and Practices - 18th Workshop on e-Business, WeB 2019, Munich, Germany, December 14, 2019, Revised Selected Papers. Lecture Notes in Business Information Processing 403, Springer 2020, ISBN 978-3-030-67780-0 [contents]
2010 – 2019
- 2019
- [c13]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. ICIS 2019 - [c12]Jiaheng Xie, Zhu Zhang, Xiao Liu, Daniel Zeng:
Understanding Opioid Addiction with Similarity Network-Based Deep Learning. ICSH 2019: 134-141 - [c11]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. ICSH 2019: 294-301 - [e1]Jennifer J. Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan:
The Ecosystem of e-Business: Technologies, Stakeholders, and Connections - 17th Workshop on e-Business, WeB 2018, Santa Clara, CA, USA, December 12, 2018, Revised Selected Papers. Lecture Notes in Business Information Processing 357, Springer 2019, ISBN 978-3-030-22783-8 [contents] - 2018
- [j3]Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng:
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. J. Am. Medical Informatics Assoc. 25(1): 72-80 (2018) - 2017
- [c10]Jiaheng Xie, Xiao Liu, Daniel Zeng, Xiao Fang:
Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. ICIS 2017 - 2016
- [b1]Xiao Liu:
Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance. University of Arizona, Tucson, USA, 2016 - [c9]Xiao Liu, Hsinchun Chen:
AZPharm MetaAlert: A Meta-learning Framework for Pharmacovigilance. ICSH 2016: 147-154 - 2015
- [j2]Xiao Liu, Hsinchun Chen:
Identifying Adverse Drug Events from Patient Social Media: A Case Study for Diabetes. IEEE Intell. Syst. 30(3): 44-51 (2015) - [j1]Xiao Liu, Hsinchun Chen:
A research framework for pharmacovigilance in health social media: Identification and evaluation of patient adverse drug event reports. J. Biomed. Informatics 58: 268-279 (2015) - [c8]Xiao Liu, Hsinchun Chen:
Identifying Novel Adverse Drug Events from Health Social Media Using Distant Supervision. AMIA 2015 - [c7]Qiaozhen Guo, Wayne Wei Huang, Kai Huang, Xiao Liu:
Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media. ICSH 2015: 131-142 - [c6]Grace Samtani, Lubaina Maimoon, Joshua Chuang, Casper Nybroe, Xiao Liu, Uffe Kock Wiil, Shu-Hsing Li, Hsinchun Chen:
DiabeticLink: An Internationally Collaborative Cyber-Enabled Patient Empowerment Platform. ICSH 2015: 299-310 - 2014
- [c5]Xinhuan Chen, Yong Zhang, Chunxiao Xing, Xiao Liu, Hsinchun Chen:
Diabetes-Related Topic Detection in Chinese Health Websites Using Deep Learning. ICSH 2014: 13-24 - [c4]Xiao Liu, Jing Liu, Hsinchun Chen:
Identifying Adverse Drug Events from Health Social Media: A Case Study on Heart Disease Discussion Forums. ICSH 2014: 25-36 - [c3]Yanshen Yin, Yong Zhang, Xiao Liu, Yan Zhang, Chunxiao Xing, Hsinchun Chen:
HealthQA: A Chinese QA Summary System for Smart Health. ICSH 2014: 51-62 - [c2]Joshua Chuang, Owen Hsiao, Pei-Lin Wu, Jean Chen, Xiao Liu, Haily De La Cruz, Shu-Hsing Li, Hsinchun Chen:
DiabeticLink: An Integrated and Intelligent Cyber-Enabled Health Social Platform for Diabetic Patients. ICSH 2014: 63-74 - 2013
- [c1]Xiao Liu, Hsinchun Chen:
AZDrugMiner: An Information Extraction System for Mining Patient-Reported Adverse Drug Events in Online Patient Forums. ICSH 2013: 134-150
Coauthor Index
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