Zhou Yang

26 papers A 1B 8Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Discovering Transmission Dynamics of COVID-19 in China.
CoRR
Zhou Yang, Edward Dougherty, Chen Zhang, Zhenhe Pan, Fang Jin
2025 B conf
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation.
IEEE Big Data
Zhou Yang, Shunyan Luo, Jiazhen Zhu, Fang Jin
2025 J jnl
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation.
CoRR
Zhou Yang, Shunyan Luo, Jiazhen Zhu, Fang Jin
2024 B conf
Explanation-based Adversarial Detection with Noise Reduction.
IEEE Big Data
Juntao Su, Zhou Yang, Zexin Ren, Fang Jin
2022 J jnl
Discovering Opioid Use Patterns From Social Media for Relapse Prevention.
Computer
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
2022 J jnl
Forecasting People's Needs in Hurricane Events from Social Network.
IEEE Trans. Big Data
Long Hoang Nguyen, Zhou Yang, Jia Li, Zhenhe Pan, Guofeng Cao, Fang Jin
2022 A conf
Tutorial on Deep Learning Interpretation: A Data Perspective.
CIKM
Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin
2020 B conf
An Interactive Platform to Track Global COVID-19 Epidemic.
ASONAM
Zhenhe Pan, Dhruv Mehta, Anubhav Tiwari, Ireddy Siddhartha, Zhou Yang, Fang Jin
2020 B conf
BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention.
ASONAM
Vinay Jayachandra Reddy, Rashmi Kesidi, Zhou Yang, Chen Zhang, Zhenhe Pan, Victor S. Sheng, Fang Jin
2020 B conf
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform.
ASONAM
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
2020 J jnl
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform.
CoRR
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
2020 B conf
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning.
ASONAM
Zhou Yang, Long Hoang Nguyen, Jiazhen Zhu, Zhenhe Pan, Jia Li, Fang Jin
2020 — conf
Data Centers Job Scheduling with Deep Reinforcement Learning.
PAKDD (2)
Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen
2020 — conf
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet.
IEEE BigData
Zhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin
2019 B conf
Addict Free - A Smart and Connected Relapse Intervention Mobile App.
SSTD
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
2019 J jnl
Addict Free - A Smart and Connected Relapse Intervention Mobile App.
CoRR
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
2019 J jnl
Discovering Opioid Use Patterns from Social Media for Relapse Prevention.
CoRR
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
2019 J jnl
Job Scheduling on Data Centers with Deep Reinforcement Learning.
CoRR
Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen
2019 B conf
Opioid relapse prediction with GAN.
ASONAM
Zhou Yang, Long Hoang Nguyen, Fang Jin
2019 — conf
Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction.
PAKDD (1)
Long Hoang Nguyen, Jiazhen Zhu, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin
2019 — conf
Twitter vs News: Concern Analysis of the 2018 California Wildfire Event.
COMPSAC (2)
Hanxiang Du, Long Hoang Nguyen, Zhou Yang, Hashim Abu-gellban, Xingyu Zhou, Wanli Xing, Guofeng Cao, Fang Jin
2018 J jnl
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning.
CoRR
Long Hoang Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin
2018 J jnl
Forecasting People's Needs in Hurricane Events from Social Network.
CoRR
Long Hoang Nguyen, Zhou Yang, Jia Li, Guofeng Cao, Fang Jin
2018 J jnl
Predicting Opioid Relapse Using Social Media Data.
CoRR
Zhou Yang, Long Hoang Nguyen, Fang Jin
2018 J jnl
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction.
CoRR
Long Hoang Nguyen, Jia Zhen, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin
2017 — conf
Harvey flooding rescue in social media.
IEEE BigData
Zhou Yang, Long Hoang Nguyen, Joshua Stuve, Guofeng Cao, Fang Jin