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arXiv 2024年

作者： Ge, Shiming Zhao, Shengwei Li, Chenyu Zhang, Yu Li, Jia The Institute of Information Engineering Chinese Academy of Sciences Beijing100095 China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China SenseTime Group Limited 100084 China The State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China The Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China The Peng Cheng Laboratory Shenzhen518055 China

Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a bridge distillation approach to turn a complex face model pretrained on private high-resolution faces into a light-weight one for low-resolution face recognition. In our approach, such a cross-dataset resolution-adapted knowledge transfer problem is solved via two-step distillation. In the first step, we conduct cross-dataset distillation to transfer the prior knowledge from private high-resolution faces to public high-resolution faces and generate compact and discriminative features. In the second step, the resolution-adapted distillation is conducted to further transfer the prior knowledge to synthetic low-resolution faces via multi-task learning. By learning low-resolution face representations and mimicking the adapted high-resolution knowledge, a light-weight student model can be constructed with high efficiency and promising accuracy in recognizing low-resolution faces. Experimental results show that the student model performs impressively in recognizing low-resolution faces with only 0.21M parameters and 0.057MB memory. Meanwhile, its speed reaches up to 14,705, 934 and 763 faces per second on GPU, CPU and mobile phone, respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Multi-task learning

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Erratum to "Design of an Extreme Low Cutoff Frequency Highpass Frontend for CMOS ISFET via Direct Tunneling Principle"

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IEEE transactions on biomedical circuits and systems 2025年第1期19卷 238页

作者： Jing Liang Yuanqi Hu Hefei Innovation Research Institute Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing and School of Integrated Circuits Science and Engineering Beihang University Beijing China

In [1], in section III.E of the article, we calculate the equivalent tunnelling current according to equation (4) by using the value of Cg, eff as 1.679 fF, which is about 4.6 times smaller than the correct value. This leads to the wrong equivalent impedance value obtained in the final Fig. 10 is about 4.6 times larger than the correct value, and the equivalent impedance should be about 2.2 PΩ at this size, so according to the basis of the above, the article should be corrected as follows.

关键词： Circuits and systems Cutoff frequency Tunneling

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All-optical Helicity-Independent Switching State Diagram in Gd-Fe-Co Alloys

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Physical Review Applied 2021年第5期15卷 054065-054065页

作者： Jiaqi Wei Boyu Zhang Michel Hehn Wei Zhang Gregory Malinowski Yong Xu Weisheng Zhao Stéphane Mangin Fert Beijing Institute Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) School of Integrated Circuit Science and Engineering Beihang University Beijing 100191 China Université de Lorraine CNRS IJL F-54000 Nancy France

Ultrafast magnetization switching induced by a single femtosecond laser pulse, under no applied magnetic field has attracted a lot of attention in the last 10 years because of its high potential for low-energy and ultrafast memory applications. Single-pulse helicity-independent switching has mostly been demonstrated for Gd-based materials. It is now necessary to optimize the pulse duration and the energy needed to switch a Gd-Fe-Co magnet depending on the alloy thickness and composition. Here we experimentally report state diagrams showing the magnetic state obtained after one single pulse depending on the laser pulse duration and fluence for various Gd-Fe-Co thin films with different compositions and thicknesses. We demonstrate that these state diagrams share similar characteristics: the fluence window for switching narrows for longer pulse duration and for the considered pulse-duration range the critical fluence for single-pulse switching increases linearly as a function of the pulse duration while the critical fluence required for creating a multidomain state remains almost constant. Calculations based on the atomistic spin model qualitatively reproduce the experimental state diagrams and their evolution. By studying the effect of the composition and the thickness on the state diagram, we demonstrate that the best energy efficiency and the longest pulse duration for switching are obtained for composition around the magnetic compensation.

关键词： Light-induced magnetic effects Magnetic domains Magnetization switching Spin dynamics Spintronics Ultrafast magnetic effects Ferrimagnets Transition-metal rare-earth alloys

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Penetration trajectory optimization for the hypersonic gliding vehicle encountering two interceptors

arXiv

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arXiv 2022年

作者： Shen, Zhipeng Yu, Jianglong Dong, Xiwang Hua, Yongzhao Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

The penetration trajectory optimization problem for the hypersonic gliding vehicle (HGV) encountering two interceptors is investigated. The HGV penetration trajectory optimization problem considering the terminal target area is formulated as a nonconvex optimal control problem. The nonconvex optimal control problem is transformed into a second-order cone programming (SOCP) problem, which can be solved by state-of-the-art interior-point methods. In addition, a penetration strategy that only requires the initial line-of-sight angle information of the interceptors is proposed. The convergent trajectory obtained by the proposed method allows the HGV to evade two interceptors and reach the target area successfully. Furthermore, a successive SOCP method with a variable trust region is presented, which is critical to balancing the trade-off between time consumption and optimality. Finally, the effectiveness and performance of the proposed method are verified by numerical simulations. Copyright © 2022, The Authors. All rights reserved.

关键词： Numerical methods

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Zibo Miao Yu Pan Qing Gao Guangdong Key Laboratory of Intelligent Morphing Mechanisms School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Shenzhen China State Key Laboratory of Industrial Control Technology The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique.

关键词： Perturbation methods Design methodology Quantum optics Robustness Feedback control Closed loop systems Tuning Cybernetics

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Strong Coupling of Antiferromagnetic Resonance with Subterahertz Cavity Fields

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Physical Review Applied 2021年第4期15卷 044018-044018页

作者： M. Białek J. Zhang H. Yu J.-Ph. Ansermet Institute of Physics École Polytechnique Fédérale de Lausanne (EPFL) Lausanne 1015 Switzerland Fert Beijing Institute School of Microelectronics Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China

Strong coupling of electromagnetic cavity fields with antiferromagnetic spin waves in hematite (α-Fe2O3) is achieved above room temperature. A cube of hematite is placed in a metallic tube and the transmission is measured, using a continuous-wave terahertz spectrometer. The spectra, collected as a function of the temperature, reveal the formation of magnetic polaritons.

关键词： Magnons Polaritons Spin waves Antiferromagnets Noncollinear magnets Transition metal oxides Cavity resonators Terahertz spectroscopy

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低温自体血靶向回输对于非人灵长类脑卒中模型的神经保护作用

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Science Bulletin 2023年第14期68卷 1556-1566,M0004页

作者：陈健徐率立 Hangil Lee 吴隆飞何小夺赵文博张默马艳辉丁玉川付永娟吴川杰李明姜缪文程化坤李胜利马挺吉训明吴迪 Department of Neurosurgery Xuanwu HospitalBeijing Institute of Brain DisordersCapital Medical UniversityBeijing 100053China China-America Institute of Neuroscience Xuanwu HospitalBeijing Institute of Brain DisordersCapital Medical UniversityBeijing 100053China Department of Neurological Surgery Wayne State University School of MedicineDetroit MI 46801USA Department of Neurology Xuanwu HospitalBeijing Institute of Brain DisordersCapital Medical UniversityBeijing 100053China Department of Radiology Xuanwu HospitalCapital Medical UniversityBeijing 100053China Department of Anesthesiology Xuanwu HospitalBeijing Institute of Brain DisordersCapital Medical UniversityBeijing 100053China Department of Pathology Xuanwu HospitalBeijing Institute of Brain DisordersCapital Medical UniversityBeijing 100053China Beijing Key Laboratory of Hypoxia Conditioning Translational Medicine Beijing 100053China Interdisciplinary Innovation Institute of Medicine and Engineering Beijing Advanced Innovation Center for Big Data-Based Precision MedicineSchool of Biological Science andMedical EngineeringBeihang UniversityBeijing 100083China Department of Neurosurgery Heilongjiang Provincial HospitalHarbin 1500036China Department of Laboratory Animal Science Capital Medical UniversityBeijing 100069China

近几十年来,虽然研究已经证明治疗性低温在啮齿类动物脑卒中模型中有神经保护作用,但其临床转化却未能成功.可能的原因是不同物种之间的生物学差异以及转化研究中治疗性低温诱导难以有效实施.本研究介绍了一种基于非人灵长类动物缺血再... 详细信息

近几十年来,虽然研究已经证明治疗性低温在啮齿类动物脑卒中模型中有神经保护作用,但其临床转化却未能成功.可能的原因是不同物种之间的生物学差异以及转化研究中治疗性低温诱导难以有效实施.本研究介绍了一种基于非人灵长类动物缺血再灌注模型的选择性治疗性低温疗法,即将自体血于体外循环中冷却,在血管再通后立即通过微导管向缺血区域回输低温自体血.低温自体血将目标脑区迅速冷却至34℃以下,而核心温度可以维持在36℃左右.低温自体血回输减少了梗死面积,保留了白质完整性,改善了神经功能且未引发低温相关并发症.本研究结果表明,在非人灵长类动物脑卒中模型中,通过冷自体输血诱导治疗性低温是一种可行、快速和安全的方法.这提示低温自体血靶向回输是一种具有临床转化潜力的新型低温脑保护疗法.

关键词：自体血非人灵长类动物缺血区域血管再通神经保护作用自体输血微导管核心温度

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DAGAD: data Augmentation for Graph Anomaly Detection

DAGAD: Data Augmentation for Graph Anomaly Detection

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IEEE International Conference on data Mining (ICDM)

作者： Fanzhen Liu Xiaoxiao Ma Jia Wu Jian Yang Shan Xue Amin Beheshti Chuan Zhou Hao Peng Quan Z. Sheng Charu C. Aggarwal School of Computing Macquarie University Sydney Australia School of Computing and Information Technology University of Wollongong Wollongong Australia Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China IBM T. J. Watson Research Center Yorktown NY USA

Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of graph-structured instances. Receiving increasing attention from both academia and industry, yet existing research on this task still suffers from two critical issues when learning informative anomalous behavior from graph data. For one thing, anomalies are usually hard to capture because of their subtle abnormal behavior and the shortage of background knowledge about them, which causes severe anomalous sample scarcity. Meanwhile, the overwhelming majority of objects in real-world graphs are normal, bringing the class imbalance problem as well. To bridge the gaps, this paper devises a novel data Augmentation-based Graph Anomaly Detection (DAGAD) framework for attributed graphs, equipped with three specially designed modules: 1) an information fusion module employing graph neural network encoders to learn representations, 2) a graph data augmentation module that fertilizes the training set with generated samples, and 3) an imbalance-tailored learning module to discriminate the distributions of the minority (anomalous) and majority (normal) classes. A series of experiments on three datasets prove that DAGAD outperforms ten state-of-the-art baseline detectors concerning various mostly-used metrics, together with an extensive ablation study validating the strength of our proposed modules.

关键词： Measurement Training Industries Sensitivity analysis Blogs Detectors Graph neural networks

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DAGAD: data Augmentation for Graph Anomaly Detection

arXiv

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arXiv 2022年

作者： Liu, Fanzhen Ma, Xiaoxiao Wu, Jia Yang, Jian Xue, Shan Beheshti, Amin Zhou, Chuan Peng, Hao Sheng, Quan Z. Aggarwal, Charu C. School of Computing Macquarie University Sydney Australia School of Computing and Information Technology University of Wollongong Wollongong Australia Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Ibm T. J. Watson Research Center YorktownNY United States

关键词： Graph neural networks

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Research on Vehicle Forward Pedestrian Recognition Based on Multi-line LIDAR

Research on Vehicle Forward Pedestrian Recognition Based on ...

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Chinese Intelligent Systems Conference, CISC 2019

作者： Guo, Chenyang Yu, Guizhen Zhang, Li Niu, Huan Zhou, Bin Wang, Zhangyu Li, Da School of Transportation Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing100191 China

ISBN: (纸本)9789813296978

Pedestrians are one of the most important elements in traffic scenes. In autopilot system, pedestrians need to be accurately detected. We found the latest research that 3D light detection and ranging (LIDAR) sensors can provide more accurate pedestrian location information. In this paper, the AdaBoost algorithm is used to improve the accuracy of the support vector machine (SVM) and high-accuracy pedestrian detection based on real-time 3D point cloud data. The first step is to process 3D points to 2D grid, followed by using k-means clustering algorithm to extract candidate points of the pedestrian. Next, nine features are chosen to train the SVM, the AdaBoost iterative process is used to reduce the further error rate to meet the classification requirements. This method has achieved significant progress in our experiment, the average classification accuracy has been improved to 92.4% per scan. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Adaptive boosting

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