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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, Yiming Cao, Yonghao Xu, Bihan Wen:
Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j20]Yuanyuan Qing, Tao Bai, Zhuotao Liu, Pierre Moulin, Bihan Wen:
Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations. IEEE Trans. Inf. Forensics Secur. 19: 2814-2825 (2024) - [c23]Tao Bai, Zeyuan Deng, Peng Cao:
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, Bin Liu:
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks. Briefings Bioinform. 24(4) (2023) - [j18]Hua Shi, Chenjin Wu, Tao Bai, Jiahai Chen, Yan Li, Hao Wu:
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, Chengxiang Jiang, Nividita Varun Chand, Tao Bai, Leifeng Guo, Jingwei Qi:
Grazing Sheep Behaviour Recognition Based on Improved YOLOV5. Sensors 23(10): 4752 (2023) - [j15]Chengxiang Jiang, Jingwei Qi, Tianci Hu, Xin Wang, Tao Bai, Leifeng Guo, Ruirui Yan:
Research on Six-Axis Sensor-Based Step-Counting Algorithm for Grazing Sheep. Sensors 23(13): 5831 (2023) - [j14]Dong Liu, Tao Bai, Mingjiang Deng, Qiang Huang, Xiaoting Wei, Jin 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, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex ChiChung Kot:
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, Jinqi Luo, Jun Zhao:
Inconspicuous Adversarial Patches for Fooling Image-Recognition Systems on Mobile Devices. IEEE Internet Things J. 9(12): 9515-9524 (2022) - [j11]Tao Bai, Hao Wang, Bihan Wen:
Targeted Universal Adversarial Examples for Remote Sensing. Remote. Sens. 14(22): 5833 (2022) - [j10]Yaping Ma, Yegui Xiao, Boyan Huang, Tao Bai, Xinyu Tan:
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, Tao Bai, Yu Chen:
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, Xiang Zhou, Denise Grathwohl, Pengshuo Yang, Yuguo Zha, Yu Jin, Hui Chong, Qingyang Yu, Nora Isberner, Dongke Wang, Lei Zhang, K. Martin Kortüm, Jun Song, Leo Rasche, Hermann Einsele, Kang Ning, Xiaohua Hou:
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, Pejman Tahmasebi:
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, Zhihao Jiang, Pejman Tahmasebi:
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, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. IJCAI 2021: 4312-4321 - [c12]Xiaoyu Wang, Tao Bai, Jun Zhao:
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, Pejman Tahmasebi:
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, Gong Cheng, Osama Majdalawieh, Peter Xiaoping Liu:
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 21:42 CET by the dblp team
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