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个人简介

教育经历 2015.08 - 2020.12 伊利诺伊大学香槟分校 - 系统工程 - 哲学博士 2013.08 - 2015.05 纽约州立大学布法罗分校 - 机械工程 - 理学硕士 2009.08 - 2013.07 哈尔滨工业大学 - 英才学院 - 机械设计制造及其自动化 - 工学学士 工作经历 2021.04 - 至今 哈尔滨工业大学计算数学系 - 助理教授 2020.07 - 2021.03 Target Corporation - Lead AI Scientist 2019.06 - 2019.09 Target Corporation - AI Scientist Intern 2019.02 - 2019.05 John Deere Technology Innovation Center - Robotics Part-time Student

研究领域

深度学习 Deep Learning 可解释深度神经网络 Explainable Deep Neural Network 脑机接口 Brain Computer Interface

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Junqi Gao, Zhichang Guo, Yao Li, Biqing Qi, Dong Li, Yuming Xing, Dazhi Zhang, "Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability", NIPS23 (2023) Li Cheng, Zhichang Guo, Yao Li,Yuming Xing, "Two-stream Multiplicative Heavy-tail Noise Despeckling Network with Truncation Loss", IEEE Transactions on Geoscience and Remote Sensing, (2023) Xinquan Chen, Jiaqian Dan, Yuwei He, Mengyuan Sun, Zhichang Guo, Yao Li, "Implementation of 22 categories license plate recognition and multiple license plate detection", Control Processes and Stability, Vol. 10. No 1. pp. 346 (2023) Yutong Zhang, Yao Li, Yin Li, Zhichang Guo, Dazhi Zhang, "A Review of Adversarial Attacks in Computer Vision", Control Processes and Stability, Vol. 10. No 1. pp. 393, https://dspace.spbu.ru/handle/11701/41728 (2023) Yalin Liang, Jie Ning, Yao Li, Junrui Wu, Ruizi Sun, Qi Pan, and Luyun Miao, "Quantification of Localization Uncertainty in One-stage Object Detection." In 2023 Intelligent Information Technologies for Industry (2023) Enzhe Zhao, Dazhi Zhang, Yao Li, Yuying Guo, Boying Wu, Zhichang Guo, and Jie Ning, "Research on Video Pedestrian Tracking based on the Combination of Optical Flow Method and Target Tracking Network." In 2023 Intelligent Information Technologies for Industry (2023) Jie Ning, Yao Li, Zhichang Guo, "Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack", https://arxiv.org/abs/2306.16050 (2023). Enzhe Zhao, Zhichang Guo, Yao Li, Dazhi Zhang, "SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification." https://arxiv.org/abs/2306.16759 (2023). Yamei Zhou, Yao Li, Zhichang Guo, Boying Wu, Dazhi Zhang, ”Multiplicative Noise Removal and Contrast Enhancement for SAR Images Based on a Total Fractional-Order Variation Model.“ Fractal and Fractional (2023). Weiwei Gao, Dazhi Zhang, Yao Li, Zhichang Guo, Ovanes Petrosian. "Stationary Point Losses for Robust Model." http://arxiv.org/abs/2302.09575 (2023). Songsong Li, Zhihong Tian, and Yao Li. "Residual Long Short-term Memory Network with Multi-source and Multi-frequency Information Fusion: An Application to China's Stock Market." Information Sciences (2023). Fanxin Wang, Harris Junaid Nisar, Yao Li, Elbashir Araud, Thanh H. Nguyen, and Thenkurussi Kesavadas"Low-Cost UVBot Using SLAM to Mitigate the Spread of Noroviruses in Occupational Spaces." Sensors 22.22 (2022): 8926. Yao Li, and Thenkurussi Kesavadas. "SSVEP-based Brain-computer Interface for Part-picking Robotic Co-worker." Journal of Computing and Information Science in Engineering 22.2 (2022). Yao Li, Jiayi Xiang, and Thenkurussi Kesavadas. "Convolutional Correlation Analysis for Enhancing the Performance of SSVEP-based Brain-computer Interface." IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020). Yao Li, and Thenkurussi Kesavadas. "Welding Robotic Co-Worker Using Brain Computer Interface." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers Digital Collection, (2018). Yao Li, and Thenkurussi Kesavadas. "Brain Computer Interface Robotic Co-workers: Defective Part Picking System." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers Digital Collection, (2018). Beibei Wang, Yao Li, and Songjing Li, 一种基于PDMS的微型空气取水装置研究, 机电工程, (2015).

学术兼职

担任审稿人 IEEE ITJ, IEEE TGRS

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