Fang Jin
Fang Jin
Dept. of Statistics, George Washington University
Verified email at - Homepage
Cited by
Cited by
Epidemiological modeling of news and rumors on twitter
F Jin, E Dougherty, P Saraf, Y Cao, N Ramakrishnan
Proceedings of the 7th workshop on social network mining and analysis, 1-9, 2013
Misinformation propagation in the age of twitter
F Jin, W Wang, L Zhao, E Dougherty, Y Cao, CT Lu, N Ramakrishnan
Computer 47 (12), 90-94, 2014
Social media data and post-disaster recovery
M Jamali, A Nejat, S Ghosh, F Jin, G Cao
International Journal of Information Management 44, 25-37, 2019
Computing Handbook: Information Systems and Information Technology
H Topi, A Tucker, EA Fox, M Akbar, SHEM Abdelhamid, NI Elsherbiny, ...
Computing Handbook 2, 18-1, 2014
Forex-foreteller: Currency trend modeling using news articles
F Jin, N Self, P Saraf, P Butler, W Wang, N Ramakrishnan
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
A multi-variable stacked long-short term memory network for wind speed forecasting
S Liang, L Nguyen, F Jin
2018 IEEE international conference on big data (Big Data), 4561-4564, 2018
Twitter vs news: Concern analysis of the 2018 california wildfire event
H Du, L Nguyen, Z Yang, H Abu-Gellban, X Zhou, W Xing, G Cao, F Jin
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019
Forecasting people’s needs in hurricane events from social network
L Nguyen, Z Yang, J Li, Z Pan, G Cao, F Jin
IEEE Transactions on Big Data 8 (1), 229-240, 2019
Harvey Flooding Rescue in Social Media
Z Yang, L Nguyen, J Stuve, G Cao, F Jin
Proceedings of the IEEE International Conference on Big Data, Boston, 2017
Tracking multiple social media for stock market event prediction
F Jin, W Wang, P Chakraborty, N Self, F Chen, N Ramakrishnan
Advances in Data Mining. Applications and Theoretical Aspects: 17th …, 2017
Data centers job scheduling with deep reinforcement learning
S Liang, Z Yang, F Jin, Y Chen
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction
L Nguyen, J Zhu, Z Lin, H Du, Z Yang, W Guo, F Jin
The 23rd Pacific-Asia conference on Knowledge Discovery and Data Mining …, 2019
Modeling mass protest adoption in social network communities using geometric brownian motion
F Jin, RP Khandpur, N Self, E Dougherty, S Guo, F Chen, BA Prakash, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Online flu epidemiological deep modeling on disease contact network
L Zhao, J Chen, F Chen, F Jin, W Wang, CT Lu, N Ramakrishnan
GeoInformatica 24, 443-475, 2020
Social media data and housing recovery following extreme natural hazards
M Jamali, A Nejat, S Moradi, S Ghosh, G Cao, F Jin
International Journal of Disaster Risk Reduction 51, 101788, 2020
Livedi: An anti-theft model based on driving behavior
H Abu-Gellban, L Nguyen, M Moghadasi, Z Pan, F Jin
Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia …, 2020
Self-boosted time-series forecasting with multi-task and multi-view learning
LH Nguyen, Z Pan, O Openiyi, H Abu-gellban, M Moghadasi, F Jin
arXiv preprint arXiv:1909.08181, 2019
Coordinating disaster emergency response with heuristic reinforcement learning
L Nguyen, Z Yang, J Zhu, J Li, F Jin
arXiv preprint arXiv:1811.05010, 2018
Predict Saturated Thickness using TensorBoard Visualization
V Nguyen, T Dang, F Jin
Visualization in Environmental Sciences 2018 workshop, 2018
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks
H Du, E Barut, J Fang
Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
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