Tao Bai
Orcid: 0000-0003-0392-7728
According to our database1,
Tao Bai
authored at least 60 papers
between 2003 and 2024.
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Bibliography
2024
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization.
Comput. Biol. Medicine, 2024
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
2023
Sensors, July, 2023
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks.
Briefings Bioinform., July, 2023
sgRNA-2wPSM: Identify sgRNAs on-target activity by combining two-window-based position specific mismatch and synthetic minority oversampling technique.
Comput. Biol. Medicine, March, 2023
Identify essential genes based on clustering based synthetic minority oversampling technique.
Comput. Biol. Medicine, February, 2023
A parallel approximate evaluation-based model for multi-objective operation optimization of reservoir group.
Swarm Evol. Comput., 2023
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Exploring the vulnerabilities and enhancing the adversarial robustness of deep neural networks
PhD thesis, 2022
IEEE Signal Process. Lett., 2022
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method.
IEEE Internet Things J., 2022
Inconspicuous Adversarial Patches for Fooling Image-Recognition Systems on Mobile Devices.
IEEE Internet Things J., 2022
CoRR, 2022
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022
Proceedings of the 24th International Conference on Advanced Communication Technology, 2022
Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Debris flow prediction with machine learning: smart management of urban systems and infrastructures.
Neural Comput. Appl., 2021
Signaling Information Management in Entrepreneurial Firms' Financing Acquisition: An Integrated Signaling and Screening Perspective.
J. Glob. Inf. Manag., 2021
Comput. Geosci., 2021
Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany.
Frontiers Artif. Intell., 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method.
CoRR, 2021
Proceedings of the Science of Cyber Security - Third International Conference, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Hybrid geological modeling: Combining machine learning and multiple-point statistics.
Comput. Geosci., 2020
CoRR, 2020
2019
Vision-Based Robot Navigation through Combining Unsupervised Learning and Hierarchical Reinforcement Learning.
Sensors, 2019
A multi-channel narrowband active noise control system with simultaneous online secondary- and feedback-path modeling.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019
2018
Cryptogr. Commun., 2018
A nonlinear adaptive noise canceller with multiple reference channels for speech enhancement using both bone-and air-conducted measurements.
Proceedings of the 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2018
Proceedings of the e-Learning, e-Education, and Online Training, 2018
2017
Fusing feasible search space into PSO for multi-objective cascade reservoir optimization.
Appl. Soft Comput., 2017
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Proceedings of the Thirteenth Wuhan International Conference on E-Business, 2014
2008
The SVM Optimized by Culture Genetic Algorithm and its Application in Forecasting Share Price.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008
Proceedings of the Workshops at the Grid and Pervasive Computing Conference, 2008
Predicting corporate financial distress using KPCA and GA-based support vector machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
2007
2005
Design and Development of a Speech-driven Control for a In-car Personal Navigation System.
Proceedings of the Australasian Language Technology Workshop, 2005
2003
A new landmark framework for mobile robot localization and asynchronous sensor fusion.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003