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Tao Bai
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2020 – today
- 2024
- [j22]Ziqi Liu, Tao Bai, Bin Liu, Liang Yu
:
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization. Comput. Biol. Medicine 175: 108289 (2024) - [j21]Tao Bai
Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j20]Yuanyuan Qing
Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations. IEEE Trans. Inf. Forensics Secur. 19: 2814-2825 (2024) - [c23]Tao Bai
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning. MLCAD 2024: 27:1-27:7 - 2023
- [j19]Tao Bai, Ke Yan
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks. Briefings Bioinform. 24(4) (2023) - [j18]Hua Shi
Identify essential genes based on clustering based synthetic minority oversampling technique. Comput. Biol. Medicine 153: 106523 (2023) - [j17]Lichao Zhang, Tao Bai, Hao Wu:
sgRNA-2wPSM: Identify sgRNAs on-target activity by combining two-window-based position specific mismatch and synthetic minority oversampling technique. Comput. Biol. Medicine 155: 106489 (2023) - [j16]Tianci Hu, Ruirui Yan
Grazing Sheep Behaviour Recognition Based on Improved YOLOV5. Sensors 23(10): 4752 (2023) - [j15]Chengxiang Jiang, Jingwei Qi, Tianci Hu, Xin Wang
Research on Six-Axis Sensor-Based Step-Counting Algorithm for Grazing Sheep. Sensors 23(13): 5831 (2023) - [j14]Dong Liu
A parallel approximate evaluation-based model for multi-objective operation optimization of reservoir group. Swarm Evol. Comput. 78: 101288 (2023) - [c22]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
Towards Adversarially Robust Continual Learning. ICASSP 2023: 1-5 - [i19]Yuanqing Feng, Tao Bai, Songfeng Lu, Xueming Tang, Junjun Wu:
SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task. CoRR abs/2303.00343 (2023) - [i18]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. CoRR abs/2303.17764 (2023) - 2022
- [b1]Tao Bai:
Exploring the vulnerabilities and enhancing the adversarial robustness of deep neural networks. Nanyang Technological University, Singapore, 2022 - [j13]Tao Bai
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method. IEEE Internet Things J. 9(3): 1875-1884 (2022) - [j12]Tao Bai
Inconspicuous Adversarial Patches for Fooling Image-Recognition Systems on Mobile Devices. IEEE Internet Things J. 9(12): 9515-9524 (2022) - [j11]Tao Bai
Targeted Universal Adversarial Examples for Remote Sensing. Remote. Sens. 14(22): 5833 (2022) - [j10]Yaping Ma
A Robust Feedback Active Noise Control System With Online Secondary-Path Modeling. IEEE Signal Process. Lett. 29: 1042-1046 (2022) - [c21]Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan:
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. AAAI 2022: 2722-2730 - [c20]Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng:
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. AAAI 2022: 6248-6257 - [c19]Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng:
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation. AAAI 2022: 6258-6267 - [c18]Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng:
Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation. CVPR 2022: 16113-16122 - [c17]Jiecong Tang, Shipeng Wang, Tao Bai, Songfeng Lu, Jing Xiong:
Intelligent ATM replenishment optimization based on hybrid genetic algorithm. ICACT 2022: 469-475 - [c16]Zhigang Zhang
Research on The Evaluation of Power Trading Entities Based on Blockchain Data. ICITEE 2022: 429-433 - [i17]Shengsen Wu, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Tao Bai, Ling-Yu Duan:
Switchable Representation Learning Framework with Self-compatibility. CoRR abs/2206.08289 (2022) - [i16]Jinze Li, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Shaoyun Xu, Tao Bai:
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning. CoRR abs/2207.01036 (2022) - [i15]Xiongkun Linghu, Yan Bai, Yihang Lou, Shengsen Wu, Jinze Li, Jianzhong He, Tao Bai:
Bayesian Evidential Learning for Few-Shot Classification. CoRR abs/2207.13137 (2022) - [i14]Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. CoRR abs/2212.09360 (2022) - 2021
- [j9]Tao Bai, Xue Zhu
Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany. Frontiers Artif. Intell. 4: 672050 (2021) - [j8]Tao Bai
Accelerating geostatistical modeling using geostatistics-informed machine Learning. Comput. Geosci. 146: 104663 (2021) - [j7]Leven Jianwen Zheng, Tao Bai, Adam R. Cross
Signaling Information Management in Entrepreneurial Firms' Financing Acquisition: An Integrated Signaling and Screening Perspective. J. Glob. Inf. Manag. 29(6): 1-31 (2021) - [j6]Tao Bai
Debris flow prediction with machine learning: smart management of urban systems and infrastructures. Neural Comput. Appl. 33(22): 15769-15779 (2021) - [c15]Jinqi Luo, Tao Bai, Jun Zhao:
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). AAAI 2021: 15837-15838 - [c14]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. ICIP 2021: 2543-2547 - [c13]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen
Recent Advances in Adversarial Training for Adversarial Robustness. IJCAI 2021: 4312-4321 - [c12]Xiaoyu Wang
A Data-Free Approach for Targeted Universal Adversarial Perturbation. SciSec 2021: 126-138 - [i13]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. CoRR abs/2102.01356 (2021) - [i12]Tao Bai, Jinqi Luo, Jun Zhao:
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices. CoRR abs/2106.15202 (2021) - [i11]Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan:
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. CoRR abs/2108.03372 (2021) - [i10]Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen:
Adversarial Purification through Representation Disentanglement. CoRR abs/2110.07801 (2021) - [i9]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot:
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method. CoRR abs/2111.10055 (2021) - 2020
- [j5]Tao Bai
Hybrid geological modeling: Combining machine learning and multiple-point statistics. Comput. Geosci. 142: 104519 (2020) - [i8]Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li:
AI-GAN: Attack-Inspired Generation of Adversarial Examples. CoRR abs/2002.02196 (2020) - [i7]Jinqi Luo, Tao Bai, Jun Zhao, Bo Li:
Generating Adversarial yet Inconspicuous Patches with a Single Image. CoRR abs/2009.09774 (2020) - [i6]Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex C. Kot:
Feature Distillation With Guided Adversarial Contrastive Learning. CoRR abs/2009.09922 (2020) - [i5]Tao Bai, Jinqi Luo, Jun Zhao:
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks. CoRR abs/2011.01539 (2020)
2010 – 2019
- 2019
- [j4]Xiaomao Zhou, Tao Bai, Yanbin Gao, Yuntao Han:
Vision-Based Robot Navigation through Combining Unsupervised Learning and Hierarchical Reinforcement Learning. Sensors 19(7): 1576 (2019) - [c11]Tao Bai, Z. Wang, Yegui Xiao, Yaping Ma, Liying Ma, Khashayar Khorasani:
A multi-channel narrowband active noise control system with simultaneous online secondary- and feedback-path modeling. APCCAS 2019: 289-292 - [i4]Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai:
Conditional Analysis for Key-Value Data with Local Differential Privacy. CoRR abs/1907.05014 (2019) - [i3]Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu:
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR abs/1911.12060 (2019) - 2018
- [j3]Tao Bai, Yongbo Xia
A new class of permutation trinomials constructed from Niho exponents. Cryptogr. Commun. 10(6): 1023-1036 (2018) - [c10]Tao Bai, Yu Tian, Wuyungerile Li:
Research on Shared Information Management in University College Reference Room. eLEOT 2018: 361-371 - [c9]Yegui Xiao, Tao Bai, Ran Xiao, Yaping Ma:
A nonlinear adaptive noise canceller with multiple reference channels for speech enhancement using both bone-and air-conducted measurements. ISPACS 2018: 258-263 - 2017
- [j2]Tao Bai, Yan-bin Kan, Jianxia Chang, Qiang Huang, Fi-John Chang
Fusing feasible search space into PSO for multi-objective cascade reservoir optimization. Appl. Soft Comput. 51: 328-340 (2017) - [i2]Tao Bai, Yongbo Xia:
A new class of permutation trinomials constructed from Niho exponents. CoRR abs/1707.00549 (2017) - 2015
- [c8]Zhiwei Jiang, Gang Sun, Qing Gu, Tao Bai, Daoxu Chen:
A Graph-based Readability Assessment Method using Word Coupling. EMNLP 2015: 411-420 - [i1]Jingtuo Liu, Yafeng Deng, Tao Bai, Chang Huang:
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. CoRR abs/1506.07310 (2015) - 2014
- [c7]Yao Zhang, Tao Bai:
A Study on the International Competitiveness of China Textile and Clothing Industry. WHICEB 2014: 8
2000 – 2009
- 2008
- [c6]Jian-guo Zhou, Tao Bai, Ji-ming Tian:
The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress. ADMA 2008: 508-515 - [c5]Jian-guo Zhou, Tao Bai:
Predicting corporate financial distress using KPCA and GA-based support vector machine. IEEE Congress on Evolutionary Computation 2008: 909-913 - [c4]Jian-guo Zhou, Tao Bai:
Credit Risk Assessment Using Rough Set Theory and GA-Based SVM. GPC Workshops 2008: 320-325 - [c3]Jian-guo Zhou, Tao Bai, Chao Suo:
The SVM Optimized by Culture Genetic Algorithm and its Application in Forecasting Share Price. GrC 2008: 838-843 - 2007
- [j1]Li-Sheng Hu, Tao Bai, Peng Shi, Ziming Wu:
Sampled-data control of networked linear control systems. Autom. 43(5): 903-911 (2007) - 2005
- [c2]Ying Su, Tao Bai, Catherine I. Watson:
Design and Development of a Speech-driven Control for a In-car Personal Navigation System. ALTA 2005: 224-232 - 2003
- [c1]Tao Bai, Jason Gu
A new landmark framework for mobile robot localization and asynchronous sensor fusion. CIRA 2003: 1451-1455
Coauthor Index
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last updated on 2024-11-26 20:46 CET by the dblp team
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