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Fang Jin
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2020 – today
- 2024
- [c37]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: 4618-4629 - [i14]Qiyue Wang, Wu Xue, Xiaoke Zhang, Fang Jin, James K. Hahn:
Liver Fat Quantification Network with Body Shape. CoRR abs/2405.11386 (2024) - [i13]Kehan Sui, Jinxu Xiang, Fang Jin:
RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis. CoRR abs/2410.21641 (2024) - 2023
- [j25]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: 1-8 (2023) - [c36]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: 304-309 - [c35]Muzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin:
MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering. WWW 2023: 4020-4028 - [i12]Muzhe Guo, Feixu Yu, Tian Lan, Fang Jin:
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective. CoRR abs/2309.04707 (2023) - 2022
- [j24]Qiyue Wang, Wu Xue, Xiaoke Zhang, Fang Jin, James K. Hahn:
S2FLNet: Hepatic steatosis detection network with body shape. Comput. Biol. Medicine 140: 105088 (2022) - [j23]Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns From Social Media for Relapse Prevention. Computer 55(2): 23-33 (2022) - [j22]Muzhe Guo, Long Nguyen, Hongfei Du, Fang Jin:
When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies. Frontiers Big Data 5: 801998 (2022) - [j21]Fang Jin, Hui Ou:
Optimal portfolio selection with transaction costs in compound binomial model. Int. J. Appl. Decis. Sci. 15(1): 1-14 (2022) - [j20]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) - [c34]Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin:
Tutorial on Deep Learning Interpretation: A Data Perspective. CIKM 2022: 5156-5159 - [c33]Juntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin:
An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research. WSDM 2022: 1609-1612 - 2021
- [j19]Fang Jin, Xingrong Qin, Chunqiang Chen, Yanju Liu:
State Estimation of Networked Control Systems over Digital Communication Channels. Autom. Control. Comput. Sci. 55(2): 148-154 (2021) - [j18]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: 103866 (2021) - [j17]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): 4308 (2021) - [j16]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): 10441-10462 (2021) - [c32]Hongfei Du, Emre Barut, Fang Jin:
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. AAAI 2021: 12078-12085 - [c31]Hashim Abu-gellban, Yu Zhuang, Long Hoang Nguyen, Fang Jin, Zhenkai Zhang:
OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification. IEEE BigData 2021: 2857-2866 - [c30]Shang Zhao, Xiaoke Zhang, Fang Jin, James K. Hahn:
An Auxiliary Tasks Based Framework for Automated Medical Skill Assessment with Limited Data. EMBC 2021: 1613-1617 - [c29]Shunyan Luo, Emre Barut, Fang Jin:
Statistically Consistent Saliency Estimation. ICCV 2021: 725-733 - 2020
- [j15]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): 443-475 (2020) - [j14]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): 960 (2020) - [c28]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 - [c27]Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin:
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. ASONAM 2020: 941-943 - [c26]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 - [c25]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 - [c24]Zhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin:
Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet. IEEE BigData 2020: 3447-3452 - [c23]Hashim Abu-gellban, Long Hoang Nguyen, Mahdi Moghadasi, Zhenhe Pan, Fang Jin:
LiveDI: An Anti-theft Model Based on Driving Behavior. IH&MMSec 2020: 67-72 - [c22]Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Data Centers Job Scheduling with Deep Reinforcement Learning. PAKDD (2) 2020: 906-917 - [i11]Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin:
COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform. CoRR abs/2008.04285 (2020) - [i10]Hoang Long Nguyen, Zhenhe Pan, Hashim Abu-gellban, Fang Jin, Yuanlin Zhang:
Google Trends Analysis of COVID-19. CoRR abs/2011.03847 (2020)
2010 – 2019
- 2019
- [j13]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): 80-89 (2019) - [j12]Mehdi Jamali, Ali Nejat, Souparno Ghosh, Fang Jin, Guofeng Cao:
Social media data and post-disaster recovery. Int. J. Inf. Manag. 44: 25-37 (2019) - [c21]Zhou Yang, Long Hoang Nguyen, Fang Jin:
Opioid relapse prediction with GAN. ASONAM 2019: 560-567 - [c20]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 - [c19]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 - [c18]Long Hoang Nguyen, Siyuan Jiang, Hashim Abu-gellban, Hanxiang Du, Fang Jin:
NiPred: Need Predictor for Hurricane Disaster Relief. SSTD 2019: 190-193 - [c17]Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin:
Addict Free - A Smart and Connected Relapse Intervention Mobile App. SSTD 2019: 202-205 - [i9]Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Job Scheduling on Data Centers with Deep Reinforcement Learning. CoRR abs/1909.07820 (2019) - [i8]Long Hoang 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 abs/1909.08181 (2019) - [i7]Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin:
Discovering Opioid Use Patterns from Social Media for Relapse Prevention. CoRR abs/1912.01122 (2019) - [i6]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
- [j11]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): 20171251 (2018) - [j10]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): 1987 (2018) - [c16]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: 613-616 - [c15]Fang Jin, Hongchao Liu:
Detect Hidden Road Hazards combining Multiple Social Media Data. IEEE BigData 2018: 4559-4560 - [c14]Sisheng Liang, Long Hoang Nguyen, Fang Jin:
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. IEEE BigData 2018: 4561-4564 - [c13]Vinh The Nguyen, Tommy Dang, Fang Jin:
Predict Saturated Thickness using TensorBoard Visualization. EnvirVis@EuroVis 2018: 35-39 - [i5]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) - [i4]Long Hoang Nguyen, Zhou Yang, Jiazhen Zhu, Jia Li, Fang Jin:
Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning. CoRR abs/1811.05010 (2018) - [i3]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) - [i2]Sisheng Liang, Long Hoang Nguyen, Fang Jin:
A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting. CoRR abs/1811.09735 (2018) - [i1]Zhou Yang, Long Hoang Nguyen, Fang Jin:
Predicting Opioid Relapse Using Social Media Data. CoRR abs/1811.12169 (2018) - 2017
- [j9]Qing-Quan Liu, Fang Jin:
State estimation for networked control systems using fixed data rates. Int. J. Syst. Sci. 48(9): 1818-1828 (2017) - [c12]Long Hoang Nguyen, Andrew Salopek, Liang Zhao, Fang Jin:
A natural language normalization approach to enhance social media text reasoning. IEEE BigData 2017: 2019-2026 - [c11]Zhou Yang, Long Hoang Nguyen, Joshua Stuve, Guofeng Cao, Fang Jin:
Harvey flooding rescue in social media. IEEE BigData 2017: 2177-2185 - [c10]Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan:
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM 2017: 16-30 - [c9]Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan:
Absenteeism Detection in Social Media. SDM 2017: 606-614 - 2014
- [j8]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): 90-94 (2014) - [c8]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: 1660-1669 - [c7]Yan Li, Weilong Liu, Fang Jin:
Research of the Relationship between Privacy Concern and continuous Use Behavior in Online Personalized System. PACIS 2014: 252 - [c6]Fang Jin, Tadahiro Arima, Chikamune Wada:
Estimation and improvement of foot pressure measurement system for standing-up motion in elderly. SCIS&ISIS 2014: 1064-1067 - [p1]Edward A. Fox, Monika Akbar, Sherif Hanie El Meligy Abdelhamid, Noha Ibrahim Elsherbiny, Mohamed Magdy Gharib Farag, Fang Jin, Jonathan Leidig, Sai Tulasi Neppali:
Digital Libraries. Computing Handbook, 3rd ed. (2) 2014: 18: 1-23 - 2013
- [j7]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): 2328-2337 (2013) - [c5]Fang Jin, Edward R. Dougherty, Parang Saraf, Yang Cao, Naren Ramakrishnan:
Epidemiological modeling of news and rumors on Twitter. SNAKDD 2013: 8:1-8:9 - [c4]Fang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang, Naren Ramakrishnan:
Forex-foreteller: currency trend modeling using news articles. KDD 2013: 1470-1473 - 2012
- [j6]Qing-Quan Liu, Fang Jin:
Quantised output feedback control via limited capacity communication networks. Int. J. Syst. Sci. 43(12): 2288-2296 (2012) - [j5]Peide Liu, Fang Jin:
Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making. Inf. Sci. 205: 58-71 (2012) - [j4]Fang Jin, Qing-Quan Liu:
Quantized Feedback Control Over Packet Dropout Communication Channels. Inf. Technol. Control. 41(3): 229-238 (2012) - [j3]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): 159-168 (2012) - [j2]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): 509-522 (2012) - 2011
- [j1]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): 554-561 (2011)
2000 – 2009
- 2008
- [c3]Weilong Liu, Xin Zhang, Fang Jin:
Fuzzy Knowledge for Agent Oriented Knowledge Management in E-commerce. FSKD (5) 2008: 175-179 - 2007
- [c2]Fang Jin, Peide Liu, Xin Zhang:
The Evaluation Study of Knowledge Management Performance Based on Grey-AHP Method. SNPD (3) 2007: 444-449 - 2006
- [c1]Peide Liu, Fang Jin:
The Design of Smart Charger Based on Fuzzy Control Technology. ISDA (1) 2006: 314-319
Coauthor Index
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last updated on 2024-12-01 00:15 CET by the dblp team
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