Tao Bai

Orcid: 0000-0003-0392-7728

According to our database1, Tao Bai authored at least 58 papers between 2003 and 2024.

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Bibliography

2024
Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations.
IEEE Trans. Inf. Forensics Secur., 2024

Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Research on Six-Axis Sensor-Based Step-Counting Algorithm for Grazing Sheep.
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

Grazing Sheep Behaviour Recognition Based on Improved YOLOV5.
Sensors, 2023

SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task.
CoRR, 2023

Towards Adversarially Robust Continual Learning.
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

A Robust Feedback Active Noise Control System With Online Secondary-Path Modeling.
IEEE Signal Process. Lett., 2022

Targeted Universal Adversarial Examples for Remote Sensing.
Remote. Sens., 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

AI Security for Geoscience and Remote Sensing: Challenges and Future Trends.
CoRR, 2022

Bayesian Evidential Learning for Few-Shot Classification.
CoRR, 2022

Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning.
CoRR, 2022

Switchable Representation Learning Framework with Self-compatibility.
CoRR, 2022

Research on The Evaluation of Power Trading Entities Based on Blockchain Data.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

Intelligent ATM replenishment optimization based on hybrid genetic algorithm.
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

Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation.
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

Accelerating geostatistical modeling using geostatistics-informed machine Learning.
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

Adversarial Purification through Representation Disentanglement.
CoRR, 2021

A Data-Free Approach for Targeted Universal Adversarial Perturbation.
Proceedings of the Science of Cyber Security - Third International Conference, 2021

Recent Advances in Adversarial Training for Adversarial Robustness.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AI-GAN: Attack-Inspired Generation of Adversarial Examples.
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

Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks.
CoRR, 2020

Feature Distillation With Guided Adversarial Contrastive Learning.
CoRR, 2020

Generating Adversarial yet Inconspicuous Patches with a Single Image.
CoRR, 2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples.
CoRR, 2020

2019
Vision-Based Robot Navigation through Combining Unsupervised Learning and Hierarchical Reinforcement Learning.
Sensors, 2019

Reviewing and Improving the Gaussian Mechanism for Differential Privacy.
CoRR, 2019

Conditional Analysis for Key-Value Data with Local Differential Privacy.
CoRR, 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
A new class of permutation trinomials constructed from Niho exponents.
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

Research on Shared Information Management in University College Reference Room.
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
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding.
CoRR, 2015

A Graph-based Readability Assessment Method using Word Coupling.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
A Study on the International Competitiveness of China Textile and Clothing Industry.
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

Credit Risk Assessment Using Rough Set Theory and GA-Based SVM.
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
Sampled-data control of networked linear control systems.
Autom., 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


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