The Design of Smart Charger Based on Fuzzy Control Technology. - Peide Liu; Fang Jin (ISDA (1), 2006)

The Evaluation Study of Knowledge Management Performance Based on Grey-AHP Method. - Fang Jin; Peide Liu; Xin Zhang (SNPD (3), 2007)

Fuzzy Knowledge for Agent Oriented Knowledge Management in E-commerce. - Weilong Liu; Xin Zhang; Fang Jin (FSKD (5), 2008)

Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables. - Peide Liu; Fang Jin; Xin Zhang; Yu Su; Minghe Wang (Knowl. Based Syst., 2011)

Quantised output feedback control via limited capacity communication networks. - Qing-Quan Liu 001; Fang Jin (Int. J. Syst. Sci., 2012)

Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making. - Peide Liu; Fang Jin (Inf. Sci., 2012)

Quantized Feedback Control Over Packet Dropout Communication Channels. - Fang Jin; Qing-Quan Liu 001 (Inf. Technol. Control., 2012)

A multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers hybrid harmonic averaging operators. - Peide Liu; Xin Zhang; Fang Jin (J. Intell. Fuzzy Syst., 2012)

Predicting simulation parameters of biological systems using a Gaussian process model. - Xiangxin Zhu; Max Welling; Fang Jin; John S. Lowengrub (Stat. Anal. Data Min., 2012)

Epidemiological modeling of news and rumors on Twitter. - Fang Jin; Edward R. Dougherty; Parang Saraf; Yang Cao 001; Naren Ramakrishnan (SNAKDD, 2013)

Forex-foreteller: currency trend modeling using news articles. - Fang Jin; Nathan Self; Parang Saraf; Patrick Butler; Wei Wang 064; Naren Ramakrishnan (KDD, 2013)

Networked control of discrete-time linear systems over lossy digital communication channels. - Fang Jin; Guang-Rong Zhao; Qing-Quan Liu 001 (Int. J. Syst. Sci., 2013)

Digital Libraries. - Edward A. Fox; Monika Akbar; Sherif Hanie El Meligy Abdelhamid; Noha Ibrahim Elsherbiny; Mohamed Magdy Gharib Farag; Fang Jin; Jonathan Leidig; Sai Tulasi Neppali (Computing Handbook, 3rd ed. (2), 2014)

Modeling mass protest adoption in social network communities using geometric brownian motion. - Fang Jin; Rupinder Paul Khandpur; Nathan Self; Edward R. Dougherty; Sheng Guo 002; Feng Chen 001; B. Aditya Prakash; Naren Ramakrishnan (KDD, 2014)

Research of the Relationship between Privacy Concern and continuous Use Behavior in Online Personalized System. - Yan Li; Weilong Liu; Fang Jin (PACIS, 2014)

Estimation and improvement of foot pressure measurement system for standing-up motion in elderly. - Fang Jin; Tadahiro Arima; Chikamune Wada (SCIS&ISIS, 2014)

Misinformation Propagation in the Age of Twitter. - Fang Jin; Wei Wang 064; Liang Zhao 002; Edward R. Dougherty; Yang Cao 001; Chang-Tien Lu; Naren Ramakrishnan (Computer, 2014)

A natural language normalization approach to enhance social media text reasoning. - Long Hoang Nguyen 002; Andrew Salopek; Liang Zhao 002; Fang Jin (IEEE BigData, 2017)

Harvey flooding rescue in social media. - Zhou Yang 002; Long Hoang Nguyen 002; Joshua Stuve; Guofeng Cao; Fang Jin (IEEE BigData, 2017)

Tracking Multiple Social Media for Stock Market Event Prediction. - Fang Jin; Wei Wang 064; Prithwish Chakraborty; Nathan Self; Feng Chen 001; Naren Ramakrishnan (ICDM, 2017)

Absenteeism Detection in Social Media. - Fang Jin; Feng Chen 001; Rupinder Paul Khandpur; Chang-Tien Lu; Naren Ramakrishnan (SDM, 2017)

State estimation for networked control systems using fixed data rates. - Qing-Quan Liu 001; Fang Jin (Int. J. Syst. Sci., 2017)

Smart and Connected Water Resource Management Via Social Media and Community Engagement. - Long Hoang Nguyen 002; Rattikorn Hewett; Akbar Siami Namin; Nicholas Alvarez; Cristina Bradatan; Fang Jin (ASONAM, 2018)

Detect Hidden Road Hazards combining Multiple Social Media Data. - Fang Jin; Hongchao Liu (IEEE BigData, 2018)

A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. - Sisheng Liang; Long Hoang Nguyen 002; Fang Jin (IEEE BigData, 2018)

Predict Saturated Thickness using TensorBoard Visualization. - Vinh The Nguyen 001; Tommy Dang; Fang Jin (EnvirVis@EuroVis, 2018)

Forecasting People's Needs in Hurricane Events from Social Network. - Long Hoang Nguyen 002; Zhou Yang 002; Jia Li; Guofeng Cao; Fang Jin (CoRR, 2018)

Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. - Long Hoang Nguyen 002; Zhou Yang 002; Jiazhen Zhu; Jia Li; Fang Jin (CoRR, 2018)

Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction. - Long Hoang Nguyen 002; Jia Zhen; Zhe Lin; Hanxiang Du; Zhou Yang 002; Wenxuan Guo; Fang Jin (CoRR, 2018)

Predicting Opioid Relapse Using Social Media Data. - Zhou Yang 002; Long Hoang Nguyen 002; Fang Jin (CoRR, 2018)

A widely amplitude-adjustable chaotic oscillator based on a physical model of HP memristor. - Zhen Wang; Chao Sun; Fang Jin; Wenqin Mo; Junlei Song; Kaifeng Dong (IEICE Electron. Express, 2018)

Theoretical Analysis of a Microring Resonator Array with High Sensitivity and Large Dynamic Range Based on a Multi-Scale Technique. - Wenqin Mo; Huiyun Liu; Fang Jin; Junlei Song; Kaifeng Dong (Sensors, 2018)

Opioid relapse prediction with GAN. - Zhou Yang 002; Long Hoang Nguyen 002; Fang Jin (ASONAM, 2019)

Twitter vs News: Concern Analysis of the 2018 California Wildfire Event. - Hanxiang Du; Long Hoang Nguyen 002; Zhou Yang 002; Hashim Abu-gellban; Xingyu Zhou; Wanli Xing; Guofeng Cao; Fang Jin (COMPSAC (2), 2019)

Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction. - Long Hoang Nguyen 002; Jiazhen Zhu; Zhe Lin; Hanxiang Du; Zhou Yang 002; Wenxuan Guo; Fang Jin (PAKDD (1), 2019)

NiPred: Need Predictor for Hurricane Disaster Relief. - Long Hoang Nguyen 002; Siyuan Jiang; Hashim Abu-gellban; Hanxiang Du; Fang Jin (SSTD, 2019)

Addict Free - A Smart and Connected Relapse Intervention Mobile App. - Zhou Yang 002; Vinay Jayachandra Reddy; Rashmi Kesidi; Fang Jin (SSTD, 2019)

A Lower Bound on Data Rates for Observability and Stabilizability of Linear Systems. - Qingquan Liu 001; Zheyuan Bi; Rui Ding 004; Fang Jin (Autom. Control. Comput. Sci., 2019)

Job Scheduling on Data Centers with Deep Reinforcement Learning. - Sisheng Liang; Zhou Yang 002; Fang Jin; Yong Chen (CoRR, 2019)

Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning. - Long Hoang Nguyen 002; Zhenhe Pan; Opeyemi Openiyi; Hashim Abu-gellban; Mahdi Moghadasi; Fang Jin (CoRR, 2019)

Social media data and post-disaster recovery. - Mehdi Jamali; Ali Nejat; Souparno Ghosh; Fang Jin; Guofeng Cao (Int. J. Inf. Manag., 2019)

An Interactive Platform to Track Global COVID-19 Epidemic. - Zhenhe Pan; Dhruv Mehta; Anubhav Tiwari; Ireddy Siddhartha; Zhou Yang 002; Fang Jin (ASONAM, 2020)

BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention. - Vinay Jayachandra Reddy; Rashmi Kesidi; Zhou Yang 002; Chen Zhang 009; Zhenhe Pan; Victor S. Sheng; Fang Jin (ASONAM, 2020)

Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. - Zhou Yang 002; Long Hoang Nguyen 002; Jiazhen Zhu; Zhenhe Pan; Jia Li; Fang Jin (ASONAM, 2020)

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. - Zhou Yang 002; Jiwei Xu; Zhenhe Pan; Fang Jin (ASONAM, 2020)

Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet. - Zhou Yang 002; Zhenhe Pan; Sisheng Liang; Fang Jin (IEEE BigData, 2020)

LiveDI: An Anti-theft Model Based on Driving Behavior. - Hashim Abu-gellban; Long Hoang Nguyen 002; Mahdi Moghadasi; Zhenhe Pan; Fang Jin (IH&MMSec, 2020)

Data Centers Job Scheduling with Deep Reinforcement Learning. - Sisheng Liang; Zhou Yang 002; Fang Jin; Yong Chen (PAKDD (2), 2020)

Google Trends Analysis of COVID-19. - Hoang Long Nguyen 002; Zhenhe Pan; Hashim Abu-gellban; Fang Jin; Yuanlin Zhang 002 (CoRR, 2020)

Online flu epidemiological deep modeling on disease contact network. - Liang Zhao 002; Jiangzhuo Chen; Feng Chen 001; Fang Jin; Wei Wang 064; Chang-Tien Lu; Naren Ramakrishnan (GeoInformatica, 2020)

Noise Modeling and Simulation of Giant Magnetic Impedance (GMI) Magnetic Sensor. - Fang Jin; Xin Tu; JinChao Wang; Biao Yang; Kaifeng Dong; Wenqin Mo; YaJuan Hui; Junwen Peng; JieFeng Jiang; Lei Xu; Junlei Song (Sensors, 2020)

Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. - Hongfei Du; Emre Barut; Fang Jin (AAAI, 2021)

OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification. - Hashim Abu-gellban; Yu Zhuang; Long Hoang Nguyen 002; Fang Jin; Zhenkai Zhang 002 (IEEE BigData, 2021)

An Auxiliary Tasks Based Framework for Automated Medical Skill Assessment with Limited Data. - Shang Zhao 001; Xiaoke Zhang; Fang Jin; James K. Hahn (EMBC, 2021)

Statistically Consistent Saliency Estimation. - Shunyan Luo; Emre Barut; Fang Jin (ICCV, 2021)

State Estimation of Networked Control Systems over Digital Communication Channels. - Fang Jin; Xingrong Qin; Chunqiang Chen; Yanju Liu (Autom. Control. Comput. Sci., 2021)

Pixel-wise body composition prediction with a multi-task conditional generative adversarial network. - Qiyue Wang; Wu Xue; Xiaoke Zhang; Fang Jin; James K. Hahn (J. Biomed. Informatics, 2021)

A Seismic Data Acquisition System Based on Wireless Network Transmission. - Yanxia Huang; Junlei Song; Wenqin Mo; Kaifeng Dong; Xiangning Wu; Jianyi Peng; Fang Jin (Sensors, 2021)

Analysis of complications after transcatheter arterial chemoembolization based on deep learning. - Mengyan Xing; Zhonghua Ma; Hanfang Fu; Fang Jin; Jing Wang; Yujie Hua; Li Han (J. Supercomput., 2021)

Tutorial on Deep Learning Interpretation: A Data Perspective. - Zhou Yang 002; Ninghao Liu; Xia Ben Hu; Fang Jin (CIKM, 2022)

An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research. - Juntao Su; Edward T. Dougherty; Shuang Jiang; Fang Jin (WSDM, 2022)

S2FLNet: Hepatic steatosis detection network with body shape. - Qiyue Wang; Wu Xue; Xiaoke Zhang; Fang Jin; James K. Hahn (Comput. Biol. Medicine, 2022)

Discovering Opioid Use Patterns From Social Media for Relapse Prevention. - Zhou Yang 002; Spencer Bradshaw; Rattikorn Hewett; Fang Jin (Computer, 2022)

When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies. - Muzhe Guo; Long Nguyen; Hongfei Du; Fang Jin (Frontiers Big Data, 2022)

Optimal portfolio selection with transaction costs in compound binomial model. - Fang Jin; Hui Ou (Int. J. Appl. Decis. Sci., 2022)

Forecasting People's Needs in Hurricane Events from Social Network. - Long Hoang Nguyen 002; Zhou Yang 002; Jia Li; Zhenhe Pan; Guofeng Cao; Fang Jin (IEEE Trans. Big Data, 2022)

Clustering Routing Optimization for Ant Colony Mobile Sensor Networks Based on Contention Window of MAC Layer. - Hui Yang; Fang Jin; Zhao Li; Pengwei Wen (ICCCS, 2023)

MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering. - Muzhe Guo; Muhao Guo; Edward T. Dougherty; Fang Jin (WWW, 2023)

Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective. - Muzhe Guo; Feixu Yu; Tian Lan; Fang Jin (CoRR, 2023)

Eccentric Optimization of Multisensor for SLAM-Integrated Navigation. - Yuan-Qiu Liu; Fang Jin; Kaifeng Dong; Junlei Song; Wenqin Mo; YaJuan Hui (IEEE Trans. Instrum. Meas., 2023)

Explanation-based Adversarial Detection with Noise Reduction. - Juntao Su; Zhou Yang 002; Zexin Ren; Fang Jin (IEEE Big Data, 2024)

Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching. - Muzhe Guo; Muhao Guo; Juntao Su; Junyu Chen; Jiaqian Yu; Jiaqi Wang; Hongfei Du; Parmanand Sahu; Ashwin Assysh Sharma; Fang Jin (WWW, 2024)

Liver Fat Quantification Network with Body Shape. - Qiyue Wang; Wu Xue; Xiaoke Zhang; Fang Jin; James K. Hahn (CoRR, 2024)

RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis. - Kehan Sui; Jinxu Xiang; Fang Jin (CoRR, 2024)

Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis. - Juntao Su; Syed Muhammad Anwar; Fang Jin (ISBI, 2025)

Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation. - Gangliang Zhong; Fang Jin; Liang Ma; Yongfeng Yang; Baogui Zhang; Dan Cao; Jin Li; Nianming Zuo; Lingzhong Fan; Zhengyi Yang 002; Tianzi Jiang (Neuroinformatics, 2025)

SmoothSinger: A Conditional Diffusion Model for Singing Voice Synthesis with Multi-Resolution Architecture. - Kehan Sui; Jinxu Xiang; Fang Jin (CoRR, 2025)