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Jie Tao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Jie Tao 0001 — Karlsruhe Institute of Technology, Karlsruhe, Steinbuch Center for Computing, Germany (and 1 more)
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2020 – today
- 2025
- [j54]Quanyou Shen, Bowen Zheng, Wenhao Li, Xiaoran Shi, Kun Luo, Yuqian Yao, Xinyan Li, Shidong Lv, Jie Tao, Qiang Wei:
MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI. Neural Networks 181: 106782 (2025) - [j53]Wenhao Li, Bowen Zheng, Quanyou Shen, Xiaoran Shi, Kun Luo, Yuqian Yao, Xinyan Li, Shidong Lv, Jie Tao, Qiang Wei:
Adaptive window adjustment with boundary DoU loss for cascade segmentation of anatomy and lesions in prostate cancer using bpMRI. Neural Networks 181: 106831 (2025) - 2024
- [j52]Jie Tao, Zhenkai Zhang:
Synergistic optimization strategy for beamforming and power allocation in dual-functional radar-communication systems. EURASIP J. Adv. Signal Process. 2024(1): 89 (2024) - [j51]Zehui Xiao, Jie Tao, Meng Zhang, Renquan Lu:
Finite-time filtering design with past output measurements for interval type-2 fuzzy systems: A descriptor approach. Inf. Sci. 670: 120593 (2024) - [j50]Hekai Feng, Zhenyu Wu, Xuexi Zhang, Zehui Xiao, Meng Zhang, Jie Tao:
Secure adaptive event-triggered anti-synchronization for BAM neural networks with energy-limited DoS attacks. Inf. Sci. 670: 120594 (2024) - [j49]Tao Jie, Gao Yan:
Directional shadow price in linearly constrained nonconvex optimization models. J. Glob. Optim. 88(2): 431-460 (2024) - [j48]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: 485-495 (2024) - [j47]Yanyan Ye, Hongzhe Chen, Jie Tao, Qianqian Cai, Peng Shi:
Containment control for fractional-order networked system with intermittent sampled position communication. Neural Networks 178: 106425 (2024) - [j46]Jie Tao, Ruipeng Liang, Jiaxiang Su, Zehui Xiao, Hongxia Rao, Yong Xu:
Dynamic Event-Triggered Synchronization of Markov Jump Neural Networks via Sliding Mode Control. IEEE Trans. Cybern. 54(4): 2515-2524 (2024) - [j45]Linfeng Cheng, Shizhen Ke, Hongwei Shi, Yuhang Zhang, Hu Luo, Jie Tao:
A New Method for Measuring Water Content in Gas-Saline Stratified Liquid Based on Impedance Dispersion Model. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j44]Jie Tao, Zhenyu Wu, Zehui Xiao, Hongxia Rao, Yong Xu, Peng Shi:
Synchronization of Markov Jump Neural Networks With Communication Constraints via Asynchronous Output Feedback Control. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15724-15734 (2024) - [c31]Kanlun Wang, Lina Zhou, Jie Tao:
Beyond the Social Media Contents: The Role of Social Interactions in Stance Detection. HICSS 2024: 368-377 - [i1]Kun Luo, Bowen Zheng, Shidong Lv, Jie Tao, Qiang Wei:
Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction. CoRR abs/2408.09746 (2024) - 2023
- [j43]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: 119674 (2023) - [j42]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): 493-512 (2023) - [j41]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): 685-700 (2023) - [j40]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: 735-745 (2023) - [j39]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: 102606 (2023) - [j38]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): 780-788 (2023) - [j37]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): 1537-1546 (2023) - [j36]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): 7834-7843 (2023) - [j35]Jie Tao, Lina Zhou:
Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning-Based Time-Series Analysis. IEEE Trans. Engineering Management 70(3): 834-848 (2023) - [c30]Lina Zhou, Jie Tao, Kanlun Wang:
On Left and Right: Understanding the Discourse of Presidential Election in Social Media Communities. HICSS 2023: 396-405 - [c29]Hu Xie, Jie Tao, Dalian Yang, Hewen Chen, Zhiying Li, Shilei Yin:
Intelligent Maintenance System for Wind Turbine Based on Deep Belief Federated Learning. HPCC/DSS/SmartCity/DependSys 2023: 1059-1066 - [c28]Rachel Hakes, Yueyang Zhao, Xing Fang, Jie Tao:
Toward an Explainable Artificial Intelligence Approach to Enhance Medical Imaging Classification Models. K-CAP 2023: 234-240 - 2022
- [j34]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: 127413 (2022) - [j33]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: 106634 (2022) - [j32]Shuyou Wu, Zhengxiao Wu, Xiaohong Wu, Jie Tao, Yonggen Gu:
Queuing-Based Federation and Optimization for Cloud Resource Sharing. Inf. 13(8): 361 (2022) - [j31]Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang:
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152: 479-486 (2022) - [j30]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): 7438-7447 (2022) - [j29]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): 3937-3946 (2022) - [c27]Dylan Meyer, Jie Tao, Alison Kris:
Tune Down the Misinformation, Please: Generating Corrective Messages for COVID-19 Misinformation. HICSS 2022: 1-10 - [c26]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: 357-370 - [c25]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: 568-578 - [c24]Sixian Chan, Yu Wang, Jian Tao, Xiaolong Zhou, Jie Tao, Qike Shao:
MLPT: Multilayer Perceptron based Tracking. SMC 2022: 1936-1941 - 2021
- [j28]Amit V. Deokar, Jie Tao:
OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs. Inf. Syst. Frontiers 23(3): 753-772 (2021) - [j27]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): 3533-3540 (2021) - [c23]Jie Tao, Xing Fang, Lina Zhou:
Unsupervised Deep Learning for Fake Content Detection in Social Media. HICSS 2021: 1-10 - [c22]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: 410-416 - [c21]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: 429-436 - [c20]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: 186-199 - 2020
- [j26]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): 321-339 (2020) - [j25]Tao Jie:
Parallel processing of the Build Hull algorithm to address the large-scale DEA problem. Ann. Oper. Res. 295(1): 453-481 (2020) - [j24]Fan Chen, Ruoqi Hu, Jiaoxiong Xia, Jie Tao:
Processing on Structural Data Faultage in Data Fusion. Data 5(1): 21 (2020) - [j23]Jie Tao, Xing Fang:
Toward multi-label sentiment analysis: a transfer learning based approach. J. Big Data 7(1): 1 (2020) - [j22]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): 4047-4060 (2020) - [j21]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): 13:1-13:22 (2020) - [j20]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): 2760-2765 (2020) - [c19]Kevin Hickey, Lina Zhou, Jie Tao:
Dissecting Moneyball: Improving Classification Model Interpretability in Baseball Pitch Prediction. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j19]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): 2504-2513 (2019) - [j18]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): 308-316 (2019) - [c18]Jie Tao, Lina Zhou, Conor Feeney:
I Understand What You Are Saying: Leveraging Deep Learning Techniques for Aspect Based Sentiment Analysis. HICSS 2019: 1-10 - [c17]Xing Fang, Jie Tao:
A Transfer Learning based Approach for Aspect Based Sentiment Analysis. SNAMS 2019: 478-483 - 2018
- [j17]Yonggen Gu, Dingding Hou, Xiaohong Wu, Jie Tao, Yanqiong Zhang:
Decentralized Transaction Mechanism Based on Smart Contract in Distributed Data Storage. Inf. 9(11): 286 (2018) - [j16]Jie Tao, Zheng-Guang Wu, Yuan-Qing Wu:
Filtering of two-dimensional periodic Roesser systems subject to dissipativity. Inf. Sci. 460-461: 364-373 (2018) - [j15]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): 1866-1877 (2018) - [j14]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): 845-855 (2018) - [j13]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): 1888-1899 (2018) - [j12]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): 2442-2450 (2018) - [c16]Li Chen, Jiaoxiong Xia, Jie Tao:
Cultivating Computational Thinking Among Students Of Liberal Art In Basic Computer Courses. ICSAI 2018: 544-548 - [c15]Jie Tao, Shaobo Zhang, Dalian Yang:
The Safety Detection for Double Tapered Roller Bearing Based on Deep Learning. SpaCCS 2018: 485-496 - 2017
- [j11]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): 298-314 (2017) - [j10]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: 56-63 (2017) - [j9]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): 2009-2016 (2017) - [j8]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): 2377-2388 (2017) - [c14]Xiao Zhang, Xiaorong Wang, Wei Chen, Jie Tao, Weijing Huang, Tengjiao Wang:
A Taxi Gap Prediction Method via Double Ensemble Gradient Boosting Decision Tree. BigDataSecurity/HPSC/IDS 2017: 255-260 - 2016
- [j7]Jie Tao, Hongye Su, Renquan Lu, Zheng-Guang Wu:
Dissipativity-based filtering of nonlinear periodic Markovian jump systems: The discrete-time case. Neurocomputing 171: 807-814 (2016) - [j6]Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie:
Nonfragile l2-l∞ state estimation for discrete-time neural networks with jumping saturations. Neurocomputing 207: 15-21 (2016) - [c13]Jie Tao, Yilun Liu, Yiping Wen, Jiahui Su:
The Expert System of Locomotive Running Gear Based on Sematic Network. IMIS 2016: 349-354 - 2015
- [j5]Tao Jie, Qingyou Yan, Wang Xu:
A technical note on "A note on integer-valued radial model in DEA". Comput. Ind. Eng. 87: 308-310 (2015) - [j4]Amit V. Deokar, Jie Tao:
Semantics-based event log aggregation for process mining and analytics. Inf. Syst. Frontiers 17(6): 1209-1226 (2015) - [c12]Amit V. Deokar, Jie Tao:
Text Mining for Studying Management's Confidence in IPO Prospectuses and IPO Valuations. AMCIS 2015 - [c11]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: 395-402 - [c10]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: 3719-3728 - [c9]Zhaowen Xu, Hongye Su, Zheng-Guang Wu, Jie Tao:
Distributed asynchronous passive filtering for nonlinear Markov jump systems. IECON 2015: 683-687 - 2014
- [c8]Jie Tao, Amit V. Deokar:
An Organizational Mining Approach Based on Behavioral Process Patterns. AMCIS 2014 - [c7]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: 769-778 - 2013
- [j3]Yan Q. You, Tao Jie, Yao Xin:
Erratum to "Finding the most efficient DMUs in DEA: An improved integrated model" [Comput. Indus. Eng. 52 (2007) 71-77]. Comput. Ind. Eng. 66(4): 1178-1179 (2013) - 2011
- [j2]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): 14-34 (2011) - [c6]Omar F. El-Gayar, Amit V. Deokar, Jie Tao:
Toward a Maturity Model for DSS Development Processes. AMCIS 2011 - 2010
- [c5]Li Tao, Tao Jie:
The Application of Data Mining in Predicting Power Industry Financial Risks. ICEE 2010: 1460-1463 - [c4]Yanyan Shang, Fuyuan Xu, Jie Tao:
Research on IDDSS in Sale Process Managing for the Small and Medium Inter-trading Enterprises. ICEE 2010: 4398-4401
2000 – 2009
- 2009
- [c3]Tao Jie:
The Research of Fuzzy Resource Space Model in Mechanical Fault Diagnosis. SKG 2009: 438-439 - 2008
- [c2]Jie Tao, Asadollah Shahbahrami:
Data Locality Optimization Based on Comprehensive Knowledge of the Cache Miss Reason: A Case Study with DWT. HPCC 2008: 304-311 - [c1]Jie Tao:
Design of Resource Space Model in Fault Diagnosis Knowledge of Rotating Machinery. SKG 2008: 501-502
1990 – 1999
- 1993
- [j1]Jiubin Ju, Gaochao Xu, Jie Tao:
Parallel Computing Using Idle Workstations. ACM SIGOPS Oper. Syst. Rev. 27(3): 87-96 (1993)
Coauthor Index
aka: Zheng-Guang Wu
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