Jie Tao

98 papers B 2C 3Journal 67Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive control via deep neural networks with an event-triggered mechanism.
Expert Syst. Appl.
Yu-Fa Liu, Jian-Lin Liao, Jie Tao, Ming Lin, Yong-Hua Liu, Chun-Yi Su, Renquan Lu
2026 J jnl
Adaptive event-triggered online learning for tracking control via Gaussian processes.
Sci. China Inf. Sci.
Yu-Fa Liu, Jie Tao, Ming Lin, Yao Zhao, Yong-Hua Liu, Chun-Yi Su, Renquan Lu
2026 J jnl
An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS.
CoRR
Qiyue Chen, Yao Li, Jie Tao, Song Chen, Li Li, Dong Liu
2026 J jnl
Barrier Function-Based Command Filtering in the Presence of Input Saturation: A Composite Auxiliary Signal Approach.
IEEE Trans Autom. Sci. Eng.
Jie Zhang, Linfeng Huang, Jiajun Wu, Jie Tao, Ming Lin, Yong-Hua Liu, Chun-Yi Su, Renquan Lu
2026 J jnl
Dynamic event-triggered anti-synchronization for Markov jump neural networks with partially unknown probabilities and cyber attacks.
Commun. Nonlinear Sci. Numer. Simul.
Xuexi Zhang, Hekai Feng, Chaojie Cheng, Zhenyu Wu, Qiang Ni, Jie Tao
2026 J jnl
Filtered output feedback control for uncertain nonlinear systems: A barrier function-based approach.
J. Frankl. Inst.
Jie Zhang, Jie Tao, Ming Lin, Yong-Hua Liu, Chun-Yi Su, Renquan Lu
2026 J jnl
Low-Complexity Appointed-Accuracy Control of Full-State Constrained Nonlinear Systems With Input Saturation.
IEEE Trans Autom. Sci. Eng.
Xiu-Wei Huang, Kai Zhang, Qian Cui, Jie Tao, Yong Xu, Renquan Lu
2025 — conf
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation.
WWW (Companion Volume)
Haonan Shi, Long Tian, Jie Tao, Yufei Li, Liming Wang, Xiyang Liu
2025 J jnl
A Spatial-temporal Deep Probabilistic Diffusion Model for Reliable Hail Nowcasting with Radar Echo Extrapolation.
CoRR
Haonan Shi, Long Tian, Jie Tao, Yufei Li, Liming Wang, Xiyang Liu
2025 J jnl
Adaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology.
IEEE Trans Autom. Sci. Eng.
Zehui Xiao, Zijing Xiao, Jie Tao, Chang Liu, Peng Shi, Imre J. Rudas
2025 J jnl
Adaptive neural network tracking control for unknown high-order nonlinear systems: A constructive approximation set based approach.
Eng. Appl. Artif. Intell.
Yu-Fa Liu, Yong-Hua Liu, Jin-Wa Wu, Jie Tao, Ming Lin, Chun-Yi Su, Renquan Lu
2025 J jnl
Adaptive window adjustment with boundary DoU loss for cascade segmentation of anatomy and lesions in prostate cancer using bpMRI.
Neural Networks
Wenhao Li, Bowen Zheng, Quanyou Shen, Xiaoran Shi, Kun Luo, Yuqian Yao, Xinyan Li, Shidong Lv, Jie Tao, Qiang Wei
2025 J jnl
Event-triggered set-membership fusion estimation of multi-rate multi-sensor systems under multiple cyber attacks.
Inf. Fusion
Zihao Cai, Zehui Xiao, Ming Lin, Zheqing Zhou, Jie Tao
2025 J jnl
Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding.
Proc. ACM Manag. Data
Feifan Liu, Rong Gu, Meng Li, Haipeng Dai, Baohan Wang, Jie Tao, Dian Shen
2025 J jnl
Joint beamforming design for radar and multiple communication users in DFRC system.
Digit. Signal Process.
Zhenkai Zhang, Jie Tao, Boon-Chong Seet, Biao Jin
2025 J jnl
KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content.
Inf. Syst. Res.
Dongsong Zhang, Lina Zhou, Jie Tao, Tingshao Zhu, Guodong Gordon Gao
2025 J jnl
Leader-Following Formation of Heterogeneous Multi-Agent Systems With Time-Varying Topology: A Virtual Neighbor Framework.
IEEE Trans Autom. Sci. Eng.
Zehui Xiao, Hongyi Xu, Jie Tao, Renquan Lu, Peng Shi
2025 J jnl
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
Quanyou Shen, Bowen Zheng, Wenhao Li, Xiaoran Shi, Kun Luo, Yuqian Yao, Xinyan Li, Shidong Lv, Jie Tao, Qiang Wei
2025 J jnl
OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search.
CoRR
Chengying Huan, Lizheng Chen, Zhengyi Yang, Shaonan Ma, Rong Gu, Renjie Yao, Zhibin Wang, Mingxing Zhang, Fang Xi, Jie Tao, Gang Zhang, Guihai Chen, Chen Tian
2025 J jnl
Probability-guaranteed secure formation for heterogeneous multi-agent systems under bit rates constrained: A security and performance balanced allocation protocol.
Inf. Sci.
Weixiong Liao, Jiaye Zhou, Chaojie Cheng, Ming Lin, Jie Tao
2025 J jnl
Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks.
IEEE Trans. Autom. Control.
Lixin Yang, Weijun Lv, Yong Xu, Jie Tao, Daniel E. Quevedo
2024 J jnl
A New Method for Measuring Water Content in Gas-Saline Stratified Liquid Based on Impedance Dispersion Model.
IEEE Trans. Instrum. Meas.
Linfeng Cheng, Shizhen Ke, Hongwei Shi, Yuhang Zhang, Hu Luo, Jie Tao
2024 — conf
Beyond the Social Media Contents: The Role of Social Interactions in Stance Detection.
HICSS
Kanlun Wang, Lina Zhou, Jie Tao
2024 J jnl
Containment control for fractional-order networked system with intermittent sampled position communication.
Neural Networks
Yanyan Ye, Hongzhe Chen, Jie Tao, Qianqian Cai, Peng Shi
2024 J jnl
Dynamic Event-Triggered Synchronization of Markov Jump Neural Networks via Sliding Mode Control.
IEEE Trans. Cybern.
Jie Tao, Ruipeng Liang, Jiaxiang Su, Zehui Xiao, Hongxia Rao, Yong Xu
2024 J jnl
Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction.
CoRR
Kun Luo, Bowen Zheng, Shidong Lv, Jie Tao, Qiang Wei
2024 J jnl
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.
Neural Networks
Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski
2024 J jnl
Finite-time filtering design with past output measurements for interval type-2 fuzzy systems: A descriptor approach.
Inf. Sci.
Zehui Xiao, Jie Tao, Meng Zhang, Renquan Lu
2024 J jnl
Generative AI for Intelligence Augmentation: Categorization and Evaluation Frameworks for Large Language Model Adaptation.
AIS Trans. Hum. Comput. Interact.
Jie Tao, Lina Zhou, Xing Fang
2024 J jnl
Secure adaptive event-triggered anti-synchronization for BAM neural networks with energy-limited DoS attacks.
Inf. Sci.
Hekai Feng, Zhenyu Wu, Xuexi Zhang, Zehui Xiao, Meng Zhang, Jie Tao
2024 — conf
Speech Enhancement Techniques Based on Microphone Arrays and Deep Learning.
ICVISP
Xin Wang, Baofeng Guo, Xiaolei Huo, Yi Zhang, Jie Tao
2024 J jnl
Synchronization of Markov Jump Neural Networks With Communication Constraints via Asynchronous Output Feedback Control.
IEEE Trans. Neural Networks Learn. Syst.
Jie Tao, Zhenyu Wu, Zehui Xiao, Hongxia Rao, Yong Xu, Peng Shi
2024 J jnl
Synergistic optimization strategy for beamforming and power allocation in dual-functional radar-communication systems.
EURASIP J. Adv. Signal Process.
Jie Tao, Zhenkai Zhang
2023 J jnl
Can Online Consumer Reviews Signal Restaurant Closure: A Deep Learning-Based Time-Series Analysis.
IEEE Trans. Engineering Management
Jie Tao, Lina Zhou
2023 J jnl
Design and implementation of a 6-DOF robot flexible bending system.
Robotics Comput. Integr. Manuf.
Shuo Zheng, Chunmei Liu, Ali Abd El-Aty, Shenghan Hu, Xueshan Bai, Jin Sun, Xunzhong Guo, Jie Tao
2023 J jnl
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
Lina Zhou, Jie Tao, Dongsong Zhang
2023 J jnl
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach.
Neural Networks
Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su
2023 J jnl
Event-Triggered Control for Markov Jump Systems Subject to Mismatched Modes and Strict Dissipativity.
IEEE Trans. Cybern.
Jie Tao, Zehui Xiao, Jiawei Chen, Ming Lin, Renquan Lu, Peng Shi, Xiaofeng Wang
2023 J jnl
Event-Triggered Resilient Filtering With the Interval Type Uncertainty for Markov Jump Systems.
IEEE Trans. Cybern.
Jie Tao, Muxi Xu, Depeng Chen, Zehui Xiao, Hongxia Rao, Yong Xu
2023 J jnl
Fuzzy adaptive event-triggered synchronization of complex dynamical networks via switched pinning control.
Inf. Sci.
Zhenyu Wu, Jieren Pei, Xuexi Zhang, Jie Tao, Renquan Lu
2023 — conf
Intelligent Maintenance System for Wind Turbine Based on Deep Belief Federated Learning.
HPCC/DSS/SmartCity/DependSys
Hu Xie, Jie Tao, Dalian Yang, Hewen Chen, Zhiying Li, Shilei Yin
2023 J jnl
Making sense of the black-boxes: Toward interpretable text classification using deep learning models.
J. Assoc. Inf. Sci. Technol.
Jie Tao, Lina Zhou, Kevin Hickey
2023 — conf
On Left and Right: Understanding the Discourse of Presidential Election in Social Media Communities.
HICSS
Lina Zhou, Jie Tao, Kanlun Wang
2023 J jnl
Surface-Acoustic-Wave (SAW)-Driven Device for Three-Dimensional Cell Manipulation.
IEEE Trans. Biomed. Eng.
Zenan Wang, Jie Tao, Jun Tian, Jun Wei, Ying Hu
2023 B conf
Toward an Explainable Artificial Intelligence Approach to Enhance Medical Imaging Classification Models.
K-CAP
Rachel Hakes, Yueyang Zhao, Xing Fang, Jie Tao
2022 J jnl
Asynchronous filtering for Markov jump systems within finite time: A general event-triggered communication.
Commun. Nonlinear Sci. Numer. Simul.
Zehui Xiao, Zhenyu Wu, Jie Tao
2022 J jnl
Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities.
IEEE Trans. Neural Networks Learn. Syst.
Jie Tao, Zehui Xiao, Zeyu Li, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang
2022 J jnl
Dynamic event-triggered synchronization of complex networks with switching topologies: Asynchronous observer-based case.
Appl. Math. Comput.
Zhenyu Wu, Jiawei Chen, Xuexi Zhang, Zehui Xiao, Jie Tao, Xiaofeng Wang
2022 J jnl
Event-Triggered and Asynchronous Reduced-Order Filtering Codesign for Fuzzy Markov Jump Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Zehui Xiao, Hong-Xia Rao, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang
2022 B conf
MLPT: Multilayer Perceptron based Tracking.
SMC
Sixian Chan, Yu Wang, Jian Tao, Xiaolong Zhou, Jie Tao, Qike Shao
2022 — conf
Multi-scale Feature Based Densely Channel Attention Network for Vision-Based Haze Visibility Detection.
ICIRA (4)
Jie Tao, Yaocai Wu, Qike Shao, Shihang Yan
2022 — conf
Rolling Bearing Fault Diagnosis Method Based on Multiple Efficient Channel Attention Capsule Network.
ICAIS (1)
Kang Wu, Jie Tao, Dalian Yang, Hewen Chen, Shilei Yin, Chixin Xiao
2022 J jnl
Set-membership filtering for complex networks with constraint communication channels.
Neural Networks
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang
2022 — conf
Tune Down the Misinformation, Please: Generating Corrective Messages for COVID-19 Misinformation.
HICSS
Dylan Meyer, Jie Tao, Alison Kris
2021 — conf
A lane line detection method based on adaptive ROI selection for smart networked vehicles.
ICIT
Jie Tao, Hancheng Yu, Shuangjing Ni, Xueyun Chen, Yuhai Zheng
2021 — conf
Do Fake News Between Different Languages Talk Alike? A Case Study of COVID-19 Related Fake News.
SKM
Lina Zhou, Jie Tao, Evan Lai, Dongsong Zhang
2021 J jnl
Nonfragile Observer-Based Control for Markovian Jump Systems Subject to Asynchronous Modes.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Chaoyou Wei, Jun Wu, Xiaofeng Wang, Peng Shi
2021 J jnl
OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs.
Inf. Syst. Frontiers
Amit V. Deokar, Jie Tao
2021 — conf
Research and design of ETC operation status evaluation system based on SOM-MQE.
ICIT
Jie Tao, Changhua Wang, Xihao Zhu, Ling Qi, Hancheng Yu
2021 — conf
Unsupervised Deep Learning for Fake Content Detection in Social Media.
HICSS
Jie Tao, Xing Fang, Lina Zhou
2020 J jnl
A Weakly Supervised WordNet-Guided Deep Learning Approach to Extracting Aspect Terms from Online Reviews.
ACM Trans. Manag. Inf. Syst.
Jie Tao, Lina Zhou
2020 J jnl
A second-order cone programming based robust data envelopment analysis model for the new-energy vehicle industry.
Ann. Oper. Res.
Chao Lu, Jie Tao, Qiuxian An, Xiao-Dong Lai
2020 — conf
Dissecting Moneyball: Improving Classification Model Interpretability in Baseball Pitch Prediction.
HICSS
Kevin Hickey, Lina Zhou, Jie Tao
2020 J jnl
Lebesgue-Approximation Model Predictive Control of Nonlinear Sampled-Data Systems.
IEEE Trans. Autom. Control.
Jie Tao, Lixing Yang, Zheng-Guang Wu, Xiaofeng Wang, Hongye Su
2020 J jnl
Processing on Structural Data Faultage in Data Fusion.
Data
Fan Chen, Ruoqi Hu, Jiaoxiong Xia, Jie Tao
2020 J jnl
Reliable Control for Two-Dimensional Systems Subject to Extended Dissipativity.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Zheng-Guang Wu, Hongye Su, Yuanqing Wu
2020 J jnl
Toward multi-label sentiment analysis: a transfer learning based approach.
J. Big Data
Jie Tao, Xing Fang
2019 — conf
A Transfer Learning based Approach for Aspect Based Sentiment Analysis.
SNAMS
Xing Fang, Jie Tao
2019 J jnl
Asynchronous and Resilient Filtering for Markovian Jump Neural Networks Subject to Extended Dissipativity.
IEEE Trans. Cybern.
Jie Tao, Zheng-Guang Wu, Hongye Su, Yuanqing Wu, Dan Zhang
2019 — conf
I Understand What You Are Saying: Leveraging Deep Learning Techniques for Aspect Based Sentiment Analysis.
HICSS
Jie Tao, Lina Zhou, Conor Feeney
2019 J jnl
Reliable Control Against Sensor Failures for Markov Jump Systems With Unideal Measurements.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Renquan Lu, Zheng-Guang Wu, Yuan-Qing Wu
2018 J jnl
Asynchronous Filtering of Nonlinear Markov Jump Systems With Randomly Occurred Quantization via T-S Fuzzy Models.
IEEE Trans. Fuzzy Syst.
Jie Tao, Renquan Lu, Hongye Su, Peng Shi, Zheng-Guang Wu
2018 — conf
Cultivating Computational Thinking Among Students Of Liberal Art In Basic Computer Courses.
ICSAI
Li Chen, Jiaoxiong Xia, Jie Tao
2018 J jnl
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements.
IEEE Trans. Neural Networks Learn. Syst.
Renquan Lu, Jie Tao, Peng Shi, Hongye Su, Zheng-Guang Wu, Yong Xu
2018 J jnl
Filtering of T-S Fuzzy Systems With Nonuniform Sampling.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu
2018 J jnl
Filtering of two-dimensional periodic Roesser systems subject to dissipativity.
Inf. Sci.
Jie Tao, Zheng-Guang Wu, Yuan-Qing Wu
2018 J jnl
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling.
IEEE Trans. Neural Networks Learn. Syst.
Yong Xu, Renquan Lu, Peng Shi, Jie Tao, Shengli Xie
2018 — conf
The Safety Detection for Double Tapered Roller Bearing Based on Deep Learning.
SpaCCS
Jie Tao, Shaobo Zhang, Dalian Yang
2017 — conf
A Taxi Gap Prediction Method via Double Ensemble Gradient Boosting Decision Tree.
BigDataSecurity/HPSC/IDS
Xiao Zhang, Xiaorong Wang, Wei Chen, Jie Tao, Weijing Huang, Tengjiao Wang
2017 J jnl
Dissipativity-Based Reliable Control for Fuzzy Markov Jump Systems With Actuator Faults.
IEEE Trans. Cybern.
Jie Tao, Renquan Lu, Peng Shi, Hongye Su, Zheng-Guang Wu
2017 J jnl
Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels.
Neurocomputing
Jie Tao, Renquan Lu, Hongye Su, Zheng-Guang Wu, Yong Xu
2017 J jnl
The dynamics of Wikipedia article revisions: an analysis of revision activities and patterns.
Int. J. Data Min. Model. Manag.
Zhongming Ma, Jie Tao, Jing Hu
2016 J jnl
Dissipativity-based filtering of nonlinear periodic Markovian jump systems: The discrete-time case.
Neurocomputing
Jie Tao, Hongye Su, Renquan Lu, Zheng-Guang Wu
2016 J jnl
Nonfragile l
Neurocomputing
Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie
2016 — conf
The Expert System of Locomotive Running Gear Based on Sematic Network.
IMIS
Jie Tao, Yilun Liu, Yiping Wen, Jiahui Su
2015 C conf
Distributed asynchronous passive filtering for nonlinear Markov jump systems.
IECON
Zhaowen Xu, Hongye Su, Zheng-Guang Wu, Jie Tao
2015 C conf
GridKa school - Teaching information technologies since 2003.
EDUCON
Melanie Ernst, Thomas Hartmann, Andreas Heiss, Christopher Jung, Joerg Meyer, Dimitri Nilsen, Andreas Petzold, Christoph-Erdmann Pfeiler, Ingrid Schaeffner, Jie Tao, Pavel Weber
2015 J jnl
Semantics-based event log aggregation for process mining and analytics.
Inf. Syst. Frontiers
Amit V. Deokar, Jie Tao
2015 — conf
Term Extraction and Disambiguation for Semantic Knowledge Enrichment: A Case Study on Initial Public Offering (IPO) Prospectus Corpus.
HICSS
Jie Tao, Omar F. El-Gayar, Amit V. Deokar, Yenling Chang
2015 — conf
Text Mining for Studying Management's Confidence in IPO Prospectuses and IPO Valuations.
AMCIS
Amit V. Deokar, Jie Tao
2014 — conf
An Ontology-Based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus.
HICSS
Jie Tao, Amit V. Deokar, Omar F. El-Gayar
2014 — conf
An Organizational Mining Approach Based on Behavioral Process Patterns.
AMCIS
Jie Tao, Amit V. Deokar
2011 J jnl
DSS-CMM: A Capability Maturity Model for DSS Development Processes.
Int. J. Decis. Support Syst. Technol.
Omar F. El-Gayar, Amit V. Deokar, Jie Tao
2011 — conf
Toward a Maturity Model for DSS Development Processes.
AMCIS
Omar F. El-Gayar, Amit V. Deokar, Jie Tao
2010 — conf
Research on IDDSS in Sale Process Managing for the Small and Medium Inter-trading Enterprises.
ICEE
Yanyan Shang, Fuyuan Xu, Jie Tao
2008 C conf
Data Locality Optimization Based on Comprehensive Knowledge of the Cache Miss Reason: A Case Study with DWT.
HPCC
Jie Tao, Asadollah Shahbahrami
2008 — conf
Design of Resource Space Model in Fault Diagnosis Knowledge of Rotating Machinery.
SKG
Jie Tao
1993 J jnl
Parallel Computing Using Idle Workstations.
ACM SIGOPS Oper. Syst. Rev.
Jiubin Ju, Gaochao Xu, Jie Tao