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ORCIDZhou Yang 0002
Person information
- affiliation: George Washington University, Washington, D.C., USA
- affiliation (former): Texas Tech University, Department of Computer Science, Lubbock, TX, USA
Other persons with the same name
- Zhou Yang — disambiguation page
- Zhou Yang 0001
![[0000-0002-0089-5866]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0089-5866")
— South China Normal University, School of Mathematical Sciences, Guangzhou, China - Zhou Yang 0003 — Singapore Management University, Singapore
- Zhou Yang 0004 — Xi'an Jiaotong University, Department of Computer Science and Technology, China (and 1 more)
- Zhou Yang 0005 — South China Agricultural University, College of Engineering, Guangzhou, China (and 1 more)
- Zhou Yang 0006 — Xi'an Jiaotong University, Department of Computer Science, China (and 1 more)
- Zhou Yang 0007 — Tsinghua University, Department of Civil Engineering, Beijing, China
- Zhou Yang 0008 — Nanjing University of Posts and Telecommunication, Institute of Advanced Technology, China
- Zhou Yang 0009 — Anhui University, School of Electronic and Information Engineering, Hefei, China
- Zhou Yang 0010 — Northeastern University, School of Mechanical Engineering & Automation, Shenyang, China
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2020 – today
- 2022
[j2]Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns From Social Media for Relapse Prevention. Computer 55(2): 23-33 (2022)- [j1]Long Hoang Nguyen, Zhou Yang, Jia Li, Zhenhe Pan, Guofeng Cao, Fang Jin:
Forecasting People's Needs in Hurricane Events from Social Network. IEEE Trans. Big Data 8(1): 229-240 (2022) - [c12]Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin:
Tutorial on Deep Learning Interpretation: A Data Perspective. CIKM 2022: 5156-5159 - 2020
- [c11]Zhou Yang, Long Hoang Nguyen, Jiazhen Zhu, Zhenhe Pan, Jia Li, Fang Jin:
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. ASONAM 2020: 565-572 - [c10]Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin:
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. ASONAM 2020: 941-943 - [c9]Vinay Jayachandra Reddy, Rashmi Kesidi, Zhou Yang, Chen Zhang, Zhenhe Pan, Victor S. Sheng, Fang Jin:
BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention. ASONAM 2020: 944-947 - [c8]Zhenhe Pan, Dhruv Mehta, Anubhav Tiwari, Ireddy Siddhartha, Zhou Yang, Fang Jin:
An Interactive Platform to Track Global COVID-19 Epidemic. ASONAM 2020: 948-951 - [c7]Zhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin:
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet. IEEE BigData 2020: 3447-3452 - [c6]Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Data Centers Job Scheduling with Deep Reinforcement Learning. PAKDD (2) 2020: 906-917 - [i8]Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin:
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. CoRR abs/2008.04285 (2020)
2010 – 2019
- 2019
- [c5]Zhou Yang, Long Hoang Nguyen, Fang Jin:
Opioid relapse prediction with GAN. ASONAM 2019: 560-567 - [c4]Hanxiang Du, Long Hoang Nguyen, Zhou Yang, Hashim Abu-gellban, Xingyu Zhou, Wanli Xing, Guofeng Cao, Fang Jin:
Twitter vs News: Concern Analysis of the 2018 California Wildfire Event. COMPSAC (2) 2019: 207-212 - [c3]Long Hoang Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin:
Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction. PAKDD (1) 2019: 343-354 - [c2]Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin:
Addict Free - A Smart and Connected Relapse Intervention Mobile App. SSTD 2019: 202-205 - [i7]Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Job Scheduling on Data Centers with Deep Reinforcement Learning. CoRR abs/1909.07820 (2019) - [i6]Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns from Social Media for Relapse Prevention. CoRR abs/1912.01122 (2019) - [i5]Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin:
Addict Free - A Smart and Connected Relapse Intervention Mobile App. CoRR abs/1912.01130 (2019) - 2018
- [i4]Long Hoang Nguyen, Zhou Yang, Jia Li, Guofeng Cao, Fang Jin:
Forecasting People's Needs in Hurricane Events from Social Network. CoRR abs/1811.04577 (2018) - [i3]Long Hoang Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin:
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. CoRR abs/1811.05010 (2018) - [i2]Long Hoang Nguyen, Jia Zhen, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin:
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction. CoRR abs/1811.06665 (2018) - [i1]Zhou Yang, Long Hoang Nguyen, Fang Jin:
Predicting Opioid Relapse Using Social Media Data. CoRR abs/1811.12169 (2018) - 2017
- [c1]Zhou Yang, Long Hoang Nguyen, Joshua Stuve, Guofeng Cao, Fang Jin:
Harvey flooding rescue in social media. IEEE BigData 2017: 2177-2185
Coauthor Index
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