Jie Tao

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 63

Top Venues

HICSS

IEEE Trans. Syst. Man Cybern. Syst.

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Kanlun Wang, Lina Zhou, Jie Tao
Beyond the Social Media Contents: The Role of Social Interactions in Stance Detection. HICSS (2024)
Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. Neural Networks 169 (2024)
Jie Tao, Lina Zhou
Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning-Based Time-Series Analysis. IEEE Trans. Engineering Management 70 (3) (2023)
Lina Zhou, Jie Tao, Dongsong Zhang
Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19. Inf. Syst. Frontiers 25 (2) (2023)
Jie Tao, Zehui Xiao, Jiawei Chen, Ming Lin, Renquan Lu, Peng Shi, Xiaofeng Wang
Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity. IEEE Trans. Cybern. 53 (3) (2023)
Lina Zhou, Jie Tao, Kanlun Wang
On Left and Right: Understanding the Discourse of Presidential Election in Social Media Communities. HICSS (2023)
Jie Tao, Lina Zhou, Kevin Hickey
Making sense of the black-boxes: Toward interpretable text classification using deep learning models. J. Assoc. Inf. Sci. Technol. 74 (6) (2023)
Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach. Neural Networks 161 (2023)
Shuo Zheng, Chunmei Liu, Ali Abd El-Aty, Shenghan Hu, Xueshan Bai, Jin Sun, Xunzhong Guo, Jie Tao
Design and implementation of a 6-DOF robot flexible bending system. Robotics Comput. Integr. Manuf. 84 (2023)
Rachel Hakes, Yueyang Zhao, Xing Fang, Jie Tao
Toward an Explainable Artificial Intelligence Approach to Enhance Medical Imaging Classification Models. K-CAP (2023)
Zenan Wang, Jie Tao, Jun Tian, Jun Wei, Ying Hu
Surface-Acoustic-Wave (SAW)-Driven Device for Three-Dimensional Cell Manipulation. IEEE Trans. Biomed. Eng. 70 (3) (2023)
Jie Tao, Muxi Xu, Depeng Chen, Zehui Xiao, Hongxia Rao, Yong Xu
Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems. IEEE Trans. Cybern. 53 (12) (2023)
Zhenyu Wu, Jieren Pei, Xuexi Zhang, Jie Tao, Renquan Lu
Fuzzy adaptive event-triggered synchronization of complex dynamical networks via switched pinning control. Inf. Sci. 649 (2023)
Sixian Chan, Yu Wang, Jian Tao, Xiaolong Zhou, Jie Tao, Qike Shao
MLPT: Multilayer Perceptron based Tracking. SMC (2022)
Jie Tao, Yaocai Wu, Qike Shao, Shihang Yan
Multi-scale Feature Based Densely Channel Attention Network for Vision-Based Haze Visibility Detection. ICIRA (4) (2022)
Zehui Xiao, Zhenyu Wu, Jie Tao
Asynchronous filtering for Markov jump systems within finite time: A general event-triggered communication. Commun. Nonlinear Sci. Numer. Simul. 114 (2022)
Kang Wu, Jie Tao, Dalian Yang, Hewen Chen, Shilei Yin, Chixin Xiao
Rolling Bearing Fault Diagnosis Method Based on Multiple Efficient Channel Attention Capsule Network. ICAIS (1) (2022)
Zhenyu Wu, Jiawei Chen, Xuexi Zhang, Zehui Xiao, Jie Tao, Xiaofeng Wang
Dynamic event-triggered synchronization of complex networks with switching topologies: Asynchronous observer-based case. Appl. Math. Comput. 435 (2022)
Shuyou Wu, Zhengxiao Wu, Xiaohong Wu, Jie Tao, Yonggen Gu
Queuing-Based Federation and Optimization for Cloud Resource Sharing. Inf. 13 (8) (2022)
Jie Tao, Zehui Xiao, Zeyu Li, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang
Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Jie Tao, Zehui Xiao, Hong-Xia Rao, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang
Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems. IEEE Trans. Syst. Man Cybern. Syst. 52 (6) (2022)
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152 (2022)
Dylan Meyer, Jie Tao, Alison Kris
Tune Down the Misinformation, Please: Generating Corrective Messages for COVID-19 Misinformation. HICSS (2022)
Jie Tao, Hancheng Yu, Shuangjing Ni, Xueyun Chen, Yuhai Zheng
A lane line detection method based on adaptive ROI selection for smart networked vehicles. ICIT (2021)
Jie Tao, Chaoyou Wei, Jun Wu, Xiaofeng Wang, Peng Shi
Nonfragile Observer-Based Control for Markovian Jump Systems Subject to Asynchronous Modes. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Jie Tao, Xing Fang, Lina Zhou
Unsupervised Deep Learning for Fake Content Detection in Social Media. HICSS (2021)
Jie Tao, Changhua Wang, Xihao Zhu, Ling Qi, Hancheng Yu
Research and design of ETC operation status evaluation system based on SOM-MQE. ICIT (2021)
Amit V. Deokar, Jie Tao
OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs. Inf. Syst. Frontiers 23 (3) (2021)
Lina Zhou, Jie Tao, Evan Lai, Dongsong Zhang
Do Fake News Between Different Languages Talk Alike? A Case Study of COVID-19 Related Fake News. SKM (2021)
Xiaohong Wu, Yonggen Gu, Jie Tao, Guoqiang Li, Jingti Han, Naixue Xiong
An Effective Data-Driven Cloud Resource Procurement Scheme With Personalized Reserve Prices. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
Jie Tao, Xing Fang
Toward multi-label sentiment analysis: a transfer learning based approach. J. Big Data 7 (1) (2020)
Kevin Hickey, Lina Zhou, Jie Tao
Dissecting Moneyball: Improving Classification Model Interpretability in Baseball Pitch Prediction. HICSS (2020)
Chao Lu, Jie Tao, Qiuxian An, Xiao-Dong Lai
A second-order cone programming based robust data envelopment analysis model for the new-energy vehicle industry. Ann. Oper. Res. 292 (1) (2020)
Jie Tao, Lina Zhou
A Weakly Supervised WordNet-Guided Deep Learning Approach to Extracting Aspect Terms from Online Reviews. ACM Trans. Manag. Inf. Syst. 11 (3) (2020)
Jie Tao, Zheng-Guang Wu, Hongye Su, Yuanqing Wu
Reliable Control for Two-Dimensional Systems Subject to Extended Dissipativity. IEEE Trans. Syst. Man Cybern. Syst. 50 (7) (2020)
Fan Chen, Ruoqi Hu, Jiaoxiong Xia, Jie Tao
Processing on Structural Data Faultage in Data Fusion. Data 5 (1) (2020)
Jie Tao, Lixing Yang, Zheng-Guang Wu, Xiaofeng Wang, Hongye Su
Lebesgue-Approximation Model Predictive Control of Nonlinear Sampled-Data Systems. IEEE Trans. Autom. Control. 65 (10) (2020)
Jie Tao, Lina Zhou, Conor Feeney
I Understand What You Are Saying: Leveraging Deep Learning Techniques for Aspect Based Sentiment Analysis. HICSS (2019)
Jie Tao, Renquan Lu, Zheng-Guang Wu, Yuan-Qing Wu
Reliable Control Against Sensor Failures for Markov Jump Systems With Unideal Measurements. IEEE Trans. Syst. Man Cybern. Syst. 49 (2) (2019)
Xing Fang, Jie Tao
A Transfer Learning based Approach for Aspect Based Sentiment Analysis. SNAMS (2019)
Jie Tao, Zheng-Guang Wu, Hongye Su, Yuanqing Wu, Dan Zhang
Asynchronous and Resilient Filtering for Markovian Jump Neural Networks Subject to Extended Dissipativity. IEEE Trans. Cybern. 49 (7) (2019)
Jie Tao, Renquan Lu, Hongye Su, Peng Shi, Zheng-Guang Wu
Asynchronous Filtering of Nonlinear Markov Jump Systems With Randomly Occurred Quantization via T-S Fuzzy Models. IEEE Trans. Fuzzy Syst. 26 (4) (2018)
Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu
Filtering of T-S Fuzzy Systems With Nonuniform Sampling. IEEE Trans. Syst. Man Cybern. Syst. 48 (12) (2018)
Renquan Lu, Jie Tao, Peng Shi, Hongye Su, Zheng-Guang Wu, Yong Xu
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Yong Xu, Renquan Lu, Peng Shi, Jie Tao, Shengli Xie
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Jie Tao, Shaobo Zhang, Dalian Yang
The Safety Detection for Double Tapered Roller Bearing Based on Deep Learning. SpaCCS (2018)
Yonggen Gu, Dingding Hou, Xiaohong Wu, Jie Tao, Yanqiong Zhang
Decentralized Transaction Mechanism Based on Smart Contract in Distributed Data Storage. Inf. 9 (11) (2018)
Li Chen, Jiaoxiong Xia, Jie Tao
Cultivating Computational Thinking Among Students Of Liberal Art In Basic Computer Courses. ICSAI (2018)
Jie Tao, Zheng-Guang Wu, Yuan-Qing Wu
Filtering of two-dimensional periodic Roesser systems subject to dissipativity. Inf. Sci. (2018)
Zhongming Ma, Jie Tao, Jing Hu
The dynamics of Wikipedia article revisions: an analysis of revision activities and patterns. Int. J. Data Min. Model. Manag. 9 (4) (2017)
Jie Tao, Renquan Lu, Peng Shi, Hongye Su, Zheng-Guang Wu
Dissipativity-Based Reliable Control for Fuzzy Markov Jump Systems With Actuator Faults. IEEE Trans. Cybern. 47 (9) (2017)
Yonggen Gu, Jie Tao, Xiaohong Wu, Xiaolong Ma
Online mechanism with latest-reservation for dynamic VMs allocation in private cloud. Int. J. Syst. Assur. Eng. Manag. 8 (3s) (2017)
Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu, Yong Xu
Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels. Neurocomputing 241 (2017)
Jie Tao, Yilun Liu, Yiping Wen, Jiahui Su
The Expert System of Locomotive Running Gear Based on Sematic Network. IMIS (2016)
Xiaohong Wu, Yonggen Gu, Jie Tao, Guoqiang Li, Prem Prakash Jayaraman, Daniel Sun, Rajiv Ranjan, Albert Y. Zomaya, Jingti Han
An online greedy allocation of VMs with non-increasing reservations in clouds. J. Supercomput. 72 (2) (2016)
Jie Tao, Hongye Su, Renquan Lu, Zheng-Guang Wu
Dissipativity-based filtering of nonlinear periodic Markovian jump systems: The discrete-time case. Neurocomputing 171 (2016)
Yonggen Gu, Jie Tao, Guoqiang Li, Daniel W. Sun, Xiaohong Wu, Prem Prakash Jayaraman, Rajiv Ranjan
A preemptive truthful VMs allocation online mechanism in private cloud. J. Comput. Sci. 17 (2016)
Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie
state estimation for discrete-time neural networks with jumping saturations. Neurocomputing 207 (2016)
Amit V. Deokar, Jie Tao
Semantics-based event log aggregation for process mining and analytics. Inf. Syst. Frontiers 17 (6) (2015)
Melanie Ernst, Thomas Hartmann, Andreas Heiss, Christopher Jung, Joerg Meyer, Dimitri Nilsen, Andreas Petzold, Christoph-Erdmann Pfeiler, Ingrid Schaeffner, Jie Tao, Pavel Weber
GridKa school - Teaching information technologies since 2003. EDUCON (2015)
Zhaowen Xu, Hongye Su, Zheng-Guang Wu, Jie Tao
Distributed asynchronous passive filtering for nonlinear Markov jump systems. IECON (2015)
Amit V. Deokar, Jie Tao
Text Mining for Studying Management's Confidence in IPO Prospectuses and IPO Valuations. AMCIS (2015)
Jie Tao, Omar F. El-Gayar, Amit V. Deokar, Yenling Chang
Term Extraction and Disambiguation for Semantic Knowledge Enrichment: A Case Study on Initial Public Offering (IPO) Prospectus Corpus. HICSS (2015)
Jie Tao, Amit V. Deokar, Omar F. El-Gayar
An Ontology-Based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus. HICSS (2014)
Jie Tao, Amit V. Deokar
An Organizational Mining Approach Based on Behavioral Process Patterns. AMCIS (2014)
Xiaohong Wu, Yonggen Gu, Guoqiang Li, Jie Tao, Jingyu Chen, Xiaolong Ma
Online Mechanism Design for VMs Allocation in Private Cloud. NPC (2014)
Omar F. El-Gayar, Amit V. Deokar, Jie Tao
DSS-CMM: A Capability Maturity Model for DSS Development Processes. Int. J. Decis. Support Syst. Technol. 3 (4) (2011)
Guoqiang Li, Yonggen Gu, Xiuting Tao, Jie Tao
A Game Theoretic Model and Tree Analysis Method for Fair Exchange Protocols. TASE (2011)
Omar F. El-Gayar, Amit V. Deokar, Jie Tao
Toward a Maturity Model for DSS Development Processes. AMCIS (2011)
Yanyan Shang, Fuyuan Xu, Jie Tao
Research on IDDSS in Sale Process Managing for the Small and Medium Inter-trading Enterprises. ICEE (2010)
Jie Tao
Design of Resource Space Model in Fault Diagnosis Knowledge of Rotating Machinery. SKG (2008)
Jie Tao, Asadollah Shahbahrami
Data Locality Optimization Based on Comprehensive Knowledge of the Cache Miss Reason: A Case Study with DWT. HPCC (2008)
Jie Tao, Josef Weidendorfer
Cache Simulation Based on Runtime Instrumentation for OpenMP Applications. Annual Simulation Symposium (2004)
Christian Osendorfer, Jie Tao, Carsten Trinitis, Martin Mairandres
ViSMI: Software Distributed Shared Memory for InfiniBand Clusters. NCA (2004)
Jiubin Ju, Gaochao Xu, Jie Tao
Parallel Computing Using Idle Workstations. ACM SIGOPS Oper. Syst. Rev. 27 (3) (1993)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Tao