Fang Jin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 59

Top Topics

Reinforcement Learning

Saliency Estimation

Disaster Recovery

Top Venues

Publications

Qiyue Wang, Wu Xue, Xiaoke Zhang, Fang Jin, James K. Hahn
Liver Fat Quantification Network with Body Shape. CoRR (2024)
Muzhe Guo, Muhao Guo, Juntao Su, Junyu Chen, Jiaqian Yu, Jiaqi Wang, Hongfei Du, Parmanand Sahu, Ashwin Assysh Sharma, Fang Jin
Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching. WWW (2024)
Hui Yang, Fang Jin, Zhao Li, Pengwei Wen
Clustering Routing Optimization for Ant Colony Mobile Sensor Networks Based on Contention Window of MAC Layer. ICCCS (2023)
Yuan-Qiu Liu, Fang Jin, Kaifeng Dong, Junlei Song, Wenqin Mo, YaJuan Hui
Eccentric Optimization of Multisensor for SLAM-Integrated Navigation. IEEE Trans. Instrum. Meas. 72 (2023)
Muzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin
MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering. WWW (2023)
Muzhe Guo, Feixu Yu, Tian Lan, Fang Jin
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective. CoRR (2023)
Fang Jin, Hui Ou
Optimal portfolio selection with transaction costs in compound binomial model. Int. J. Appl. Decis. Sci. 15 (1) (2022)
Long H. 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) (2022)
Juntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin
An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research. WSDM (2022)
Qiyue Wang, Wu Xue, Xiaoke Zhang, Fang Jin, James K. Hahn
S2FLNet: Hepatic steatosis detection network with body shape. Comput. Biol. Medicine 140 (2022)
Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin
Tutorial on Deep Learning Interpretation: A Data Perspective. CIKM (2022)
Muzhe Guo, Long Nguyen, Hongfei Du, Fang Jin
When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies. Frontiers Big Data 5 (2022)
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
Discovering Opioid Use Patterns From Social Media for Relapse Prevention. Computer 55 (2) (2022)
Qiyue Wang, Wu Xue, Xiaoke Zhang, Fang Jin, James K. Hahn
Pixel-wise body composition prediction with a multi-task conditional generative adversarial network. J. Biomed. Informatics 120 (2021)
Hongfei Du, Emre Barut, Fang Jin
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. AAAI (2021)
Shunyan Luo, Emre Barut, Fang Jin
Statistically Consistent Saliency Estimation. ICCV (2021)
Yanxia Huang, Junlei Song, Wenqin Mo, Kaifeng Dong, Xiangning Wu, Jianyi Peng, Fang Jin
A Seismic Data Acquisition System Based on Wireless Network Transmission. Sensors 21 (13) (2021)
Mengyan Xing, Zhonghua Ma, Hanfang Fu, Fang Jin, Jing Wang, Yujie Hua, Li Han
Analysis of complications after transcatheter arterial chemoembolization based on deep learning. J. Supercomput. 77 (9) (2021)
Shang Zhao, Xiaoke Zhang, Fang Jin, James K. Hahn
An Auxiliary Tasks Based Framework for Automated Medical Skill Assessment with Limited Data. EMBC (2021)
Hashim Abu-gellban, Yu Zhuang, Long H. Nguyen, Fang Jin, Zhenkai Zhang
OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification. IEEE BigData (2021)
Fang Jin, Xingrong Qin, Chunqiang Chen, Yanju Liu
State Estimation of Networked Control Systems over Digital Communication Channels. Autom. Control. Comput. Sci. 55 (2) (2021)
Fang Jin, Xin Tu, JinChao Wang, Biao Yang, Kaifeng Dong, Wenqin Mo, YaJuan Hui, Junwen Peng, JieFeng Jiang, Lei Xu, Junlei Song
Noise Modeling and Simulation of Giant Magnetic Impedance (GMI) Magnetic Sensor. Sensors 20 (4) (2020)
Zhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet. IEEE BigData (2020)
Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24 (2) (2020)
Zhenhe Pan, Dhruv Mehta, Anubhav Tiwari, Siddhartha Ireddy, Zhou Yang, Fang Jin
An Interactive Platform to Track Global COVID-19 Epidemic. ASONAM (2020)
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)
Zhou Yang, Long H. Nguyen, Jiazhen Zhu, Zhenhe Pan, Jia Li, Fang Jin
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. ASONAM (2020)
Hashim Abu-gellban, Long H. Nguyen, Mahdi Moghadasi, Zhenhe Pan, Fang Jin
LiveDI: An Anti-theft Model Based on Driving Behavior. IH&MMSec (2020)
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. CoRR (2020)
Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen
Data Centers Job Scheduling with Deep Reinforcement Learning. PAKDD (2) (2020)
Hoang Long Nguyen, Zhenhe Pan, Hashim Abu-gellban, Fang Jin, Yuanlin Zhang
Google Trends Analysis of COVID-19. CoRR (2020)
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. ASONAM (2020)
Long H. Nguyen, Zhenhe Pan, Opeyemi Openiyi, Hashim Abu-gellban, Mahdi Moghadasi, Fang Jin
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning. CoRR (2019)
Zhou Yang, Long H. Nguyen, Fang Jin
Opioid relapse prediction with GAN. ASONAM (2019)
Mehdi Jamali, Ali Nejat, Souparno Ghosh, Fang Jin, Guofeng Cao
Social media data and post-disaster recovery. Int. J. Inf. Manag. 44 (2019)
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
Addict Free - A Smart and Connected Relapse Intervention Mobile App. CoRR (2019)
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)
Qingquan Liu, Zheyuan Bi, Rui Ding, Fang Jin
A Lower Bound on Data Rates for Observability and Stabilizability of Linear Systems. Autom. Control. Comput. Sci. 53 (1) (2019)
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
Discovering Opioid Use Patterns from Social Media for Relapse Prevention. CoRR (2019)
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)
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
Addict Free - A Smart and Connected Relapse Intervention Mobile App. SSTD (2019)
Long H. Nguyen, Siyuan Jiang, Hashim Abu-gellban, Hanxiang Du, Fang Jin
NiPred: Need Predictor for Hurricane Disaster Relief. SSTD (2019)
Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen
Job Scheduling on Data Centers with Deep Reinforcement Learning. CoRR (2019)
Long H. Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. CoRR (2018)
Long Hoang Nguyen, Rattikorn Hewett, Akbar Siami Namin, Nicholas Alvarez, Cristina Bradatan, Fang Jin
Smart and Connected Water Resource Management Via Social Media and Community Engagement. ASONAM (2018)
Sisheng Liang, Long H. Nguyen, Fang Jin
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. IEEE BigData (2018)
Zhou Yang, Long H. Nguyen, Fang Jin
Predicting Opioid Relapse Using Social Media Data. CoRR (2018)
Wenqin Mo, Huiyun Liu, Fang Jin, Junlei Song, Kaifeng Dong
Theoretical Analysis of a Microring Resonator Array with High Sensitivity and Large Dynamic Range Based on a Multi-Scale Technique. Sensors 18 (7) (2018)
Zhen Wang, Chao Sun, Fang Jin, Wenqin Mo, Junlei Song, Kaifeng Dong
A widely amplitude-adjustable chaotic oscillator based on a physical model of HP memristor. IEICE Electron. Express 15 (8) (2018)
Fang Jin, Hongchao Liu
Detect Hidden Road Hazards combining Multiple Social Media Data. IEEE BigData (2018)
Vinh The Nguyen, Tommy Dang, Fang Jin
Predict Saturated Thickness using TensorBoard Visualization. EnvirVis@EuroVis (2018)
Sisheng Liang, Long H. Nguyen, Fang Jin
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. CoRR (2018)
Long Hoang Nguyen, Zhou Yang, Jia Li, Guofeng Cao, Fang Jin
Forecasting People's Needs in Hurricane Events from Social Network. CoRR (2018)
Long H. 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 (2018)
Long Hoang Nguyen, Andrew Salopek, Liang Zhao, Fang Jin
A natural language normalization approach to enhance social media text reasoning. IEEE BigData (2017)
Zhou Yang, Long Hoang Nguyen, Joshua Stuve, Guofeng Cao, Fang Jin
Harvey flooding rescue in social media. IEEE BigData (2017)
Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM (2017)
Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan
Absenteeism Detection in Social Media. SDM (2017)
Qing-Quan Liu, Fang Jin
State estimation for networked control systems using fixed data rates. Int. J. Syst. Sci. 48 (9) (2017)
Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan
Modeling mass protest adoption in social network communities using geometric brownian motion. KDD (2014)
Fang Jin, Wei Wang, Liang Zhao, Edward R. Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan
Misinformation Propagation in the Age of Twitter. Computer 47 (12) (2014)
Yan Li, Weilong Liu, Fang Jin
Research of the Relationship between Privacy Concern and continuous Use Behavior in Online Personalized System. PACIS (2014)
Fang Jin, Tadahiro Arima, Chikamune Wada
Estimation and improvement of foot pressure measurement system for standing-up motion in elderly. SCIS&ISIS (2014)
Fang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang, Naren Ramakrishnan
Forex-foreteller: currency trend modeling using news articles. KDD (2013)
Fang Jin, Edward R. Dougherty, Parang Saraf, Yang Cao, Naren Ramakrishnan
Epidemiological modeling of news and rumors on Twitter. SNAKDD (2013)
Fang Jin, Guang-Rong Zhao, Qing-Quan Liu
Networked control of discrete-time linear systems over lossy digital communication channels. Int. J. Syst. Sci. 44 (12) (2013)
Xiangxin Zhu, Max Welling, Fang Jin, John S. Lowengrub
Predicting simulation parameters of biological systems using a Gaussian process model. Stat. Anal. Data Min. 5 (6) (2012)
Fang Jin, Qing-Quan Liu
Quantized Feedback Control Over Packet Dropout Communication Channels. Inf. Technol. Control. 41 (3) (2012)
Peide Liu, Fang Jin
Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making. Inf. Sci. 205 (2012)
Qing-Quan Liu, Fang Jin
Quantised output feedback control via limited capacity communication networks. Int. J. Syst. Sci. 43 (12) (2012)
Peide Liu, Xin Zhang, Fang Jin
A multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers hybrid harmonic averaging operators. J. Intell. Fuzzy Syst. 23 (5) (2012)
Peide Liu, Fang Jin, Xin Zhang, Yu Su, Minghe Wang
Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables. Knowl. Based Syst. 24 (4) (2011)
Weilong Liu, Xin Zhang, Fang Jin
Fuzzy Knowledge for Agent Oriented Knowledge Management in E-commerce. FSKD (5) (2008)
Fang Jin, Peide Liu, Xin Zhang
The Evaluation Study of Knowledge Management Performance Based on Grey-AHP Method. SNPD (3) (2007)
Peide Liu, Fang Jin
The Design of Smart Charger Based on Fuzzy Control Technology. ISDA (1) (2006)