| 序号 | 英文标题 | 作者及机构 | 中文翻译 | 出处 | 链接 |
|---|---|---|---|---|---|
| 1 | High-Fidelity Real-Time Simulation of Power Electronics Converters via FPGA-Accelerated Dynamic Connectionist Neural Network | Haowen Weng1;Zixiang Liao1;Yinbin Chen1;Can Wang1(1School of Robotics and Advanced Manufacturing, Harbin Institute of Technology, Shenzhen, China) | 基于FPGA加速动态连接主义神经网络的电力电子变换器高保真实时仿真 | IEEE Transactions on Power Electronics 2025 P1-13 | 链接 |
| 2 | Using Synapse Saturation in Spiking Neural Networks for Wakeup Receivers in Internet of Things Networks | Guillaume Marthe1;Claire Goursaud1;Laurent Clavier2(1CITI, EA3720 Univ, INSA Lyon, Inria, Villeurbanne, France 2IMT Nord Europe, CNRS, UMR 8520 - IEMN, Université de Lille, Lille, France) | 突触饱和在物联网网络唤醒接收器脉冲神经网络中的应用 | IEEE Internet of Things Journal 2025 P1 | 链接 |
| 3 | SA-YOLO: Spike-Driven Attention for Energy-Efficient UAV-Based Small Object Detection | Yiyu Shen1;Hu Liu1;Keke Zha1;Xu Liu1;Yanan Ding1(1Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China) | SA-YOLO:基于脉冲驱动注意力的节能型无人机小目标检测 | IEEE Internet of Things Journal 2025 P1 | 链接 |
| 4 | Tri-Memristor Hyperchaotic Ring Neural Network With Hidden Firings: Dynamic Analysis, Hardware Implementation, and Application to Image Encryption | Jie Wang1;Sen Zhang2;Yuanjin Zheng3;Yongxin Li1;Chunbiao Li2;Yichen Wang1;Xin Ding2(1School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China 2School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China 3School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore) | 具有隐藏放电的三忆阻器超混沌环形神经网络:动态分析、硬件实现及图像加密应用 | IEEE Internet of Things Journal 2025 P1 | 链接 |
| 5 | An Enhanced Neural Communication Model for IoNT Based on the Oscillatory Characteristics of Membrane Potential | Huiyu Luo1,2;Li Huang1;Hao Jiang3,4,5;Yi Huang1;Lin Lin1(1College of Electronics and Information Engineering, Tongji University, Shanghai, China 2Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China 3School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China 4National Mobile Communications Research Laboratory, Southeast University, Nanjing, China 5School of Information Engineering, Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications, Nanchang University, Nanchang, China) | 基于膜电位振荡特性的IoNT增强型神经通信模型 | IEEE Internet of Things Journal 2025 P1 | 链接 |
| 6 | Reconfigurable neuromorphic networks enabled by robust organic memristors with tunable plasticity | Xingyu Chen;Jiahao Gu;Ziyan Zhang;Jiashu Chen;Wei Jiang;Bin Ge;Sheng Li;Quan Xu;Jianhua Qiu*;Huafei Guo*;Sai Jiang* | 基于可调塑性鲁棒有机忆阻器的可重构类脑网络 | Journal of Physics D: Applied Physics 2025 Vol.58 No.41 P415108 | 链接 |
| 7 | Adaptable microplastic classification using similarity learning on FTIR spectra collected from FTIR focal plane array imaging | Justin A Smolen 1;Gavin E Moore 1;Nicholas D Perez 2;Karen L Wooley 1(1Department of Chemistry, Laboratory for Synthetic-Biologic Interactions, Texas A&M University, College Station, TX 77843. 2Department of Geology and Geophysics, Texas A&M University, College Station, TX 77843.) | 基于FTIR焦平面阵列成像光谱相似性学习的自适应微塑料分类 | Proceedings of the National Academy of Sciences of the United States of America 2025 Vol.122 No.42 e2509745122 | 链接 |
| 8 | Calibrated mixup for imbalanced regression on tabular data | Nathaniel Kang1;Kibok Lee1;Jongho Im1(1Department of Statistics and Data Science, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea) | 表格数据不平衡回归的校准混合方法 | Pattern Recognition 2025 P112610 | 链接 |
| 9 | Interpretable multi-objective machine learning with calibrated uncertainty for deployment-oriented prediction of defects and properties in polymer FFF | Ebenezer Aquisman Asare1,2;Dickson Abdul-Wahab3;Elsie Effah Kaufmann4;Rafeah Wahi5;Zainab Ngaini5(1Department of Mechanical and Industrial Engineering, College of Engineering, Northeastern University, Boston, MA, USA;2Organic Laboratory Research, Nuclear Chemistry and Environmental Research Centre, National Nuclear Research Institute (NNRI), Ghana Atomic Energy Commission (GAEC), Box LG 80, Legon-Accra, Ghana;3Department of Nuclear Science and Applications, School of Nuclear and Allied Sciences, University of Ghana, Atomic-Kwabenya, Accra, Ghana;4Department of Biomedical Engineering, University of Ghana, Legon-Accra, Ghana;5Department of Chemistry, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia) | 面向聚合物FFF缺陷与性能部署预测的带校准不确定性可解释多目标机器学习 | Measurement 2025 P119350 | 链接 |
| 10 | Intelligent calibration of discrete element microscopic parameters using BP-RIP-Opt algorithm: Application to medium-hard rock simulations | Xupeng Sun1;Zizheng Zhang1;Weijian Yu1;Shuaigang Liu1;Zilu Liu1;Shiqiang Xu1(1School of Resources, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China) | 基于BP-RIP-Opt算法的离散元细观参数智能校准——中硬岩模拟应用 | Powder Technology 2025 P121769 | 链接 |
| 11 | SynapseHD: A unified training framework for bridging spiking neural networks and hyperdimensional computing | Lingfeng Zhou1;Huiyao Wang1;Bohan Wang1;Jinghai Wang1;Zhiyi Yu1,2;Shanlin Xiao1,2(1The School of Microelectronics Science and Technology, Sun Yat-sen University, ZhuHai, 519082, GuangDong, China;2Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems, ZhuHai, 519082, Guangdong, China) | SynapseHD:连接脉冲神经网络与超维计算的统一训练框架 | Neurocomputing 2025 P131757 | 链接 |
| 12 | Dynamic Vision Sensor-Driven Spiking Neural Networks for Low-Power Event-Based Tracking and Recognition | Boyi Feng 1;Rui Zhu 1;Yue Zhu 2;Yan Jin 1;Jiaqi Ju 1(1Shanghai Institute of Technology, Shanghai 201418, China. 2Faculty of Art and Design, Yunnan University, Kunming 650091, China.) | 基于动态视觉传感器的低功耗事件驱动跟踪与识别脉冲神经网络 | Sensors (Basel, Switzerland) 2025 Vol.25 No.19 P6048 | 链接 |
| 13 | FortiNIDS: Defending Smart City IoT Infrastructures Against Transferable Adversarial Poisoning in Machine Learning-Based Intrusion Detection Systems | Abdulaziz Alajaji 1(1Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia.) | FortiNIDS:防御智能城市物联网基础设施中机器学习入侵检测系统的可迁移对抗性投毒攻击 | Sensors (Basel, Switzerland) 2025 Vol.25 No.19 P6056 | 链接 |
| 14 | Roadmap of Intelligent Photonics (Invited) | Bai, Bowen 1; Cao, Liangcai 12; Chen, Hongwei 11; Dong, Jianji 6; Du, Shiyin 10; Fang, Lu 11; Feng, Fu 21; Fu, Tingzhao 9; Gao, Yunhui 12; Guo, Xingxing 16; Hu, Minglie 15; Hu, Yueqiang 7; Huang, Zhengqi 4; Han, Yanan 16; Huo, Dewang 21; Hao, Hao 10; Jiang, Tian 10; Li, Ming 2, 19, 20; Lin, Jie 3; Li, Siteng 18; Li, Liangye 5, 17; Liu, Runmin 15; Meng, Xiangyan 2, 19, 20; Peng, Tao 9; Situ, Guohai 14, 18; Shi, Nuannuan 2, 19, 20; Sun, Qizhen 5; Su, Jinyue 7; Wang, Xingjun 1; Xiang, Shuiying 16; Xu, Danlin 12; Xu, Zhihao 11; Xu, Shibo 6; Yuan, Xiaocong 13, 21; Yang, Qipeng 1; Yao, Yunhua 4; Zhang, Shian 4; Zhou, Tiankuang 11; Zhang, Shixiong 5, 8; Zhang, Ziyang 21(1State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University, Beijing; 100871, China;2State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing; 100083, China;3Center of Ultra-precision Optoelectronic Instrument, Harbin Institute of Technology, Heilongjiang, Harbin; 150001, China;4State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai; 200241, China;5School of Optical and Electronics Information, Huazhong University of Science and Technology, Hubei, Wuhan; 430074, China;6Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Hubei, Wuhan; 430074, China;7State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Hunan, Changsha; 410082, China;8School of Intelligent Manufacturing, Hubei University, Hubei, Wuhan; 430062, China;9College of Advanced Interdisciplinary Studies, National University of Defense Technology, Hunan, Changsha; 410073, China;10Institute for Quantum Science and Technology, College of Science, National University of Defense Technology, Hunan, Changsha; 410073, China;11Department of Electronic Engineering, Tsinghua University, Beijing; 100084, China;12State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing; 100084, China;13Nanophotonics Research Centre, Institute of Microscale Optoelectronics, Shenzhen University, Guangdong, Shenzhen; 518060, China;14Shanghai Institute of Laser Technology Co., Ltd., Shanghai; 200233, China;15Ultrafast Laser Laboratory, Key Laboratory of Opto-Electronic Information Technology, Ministry of Education, School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin; 300072, China;16State Key Laboratory of Integrated Service Networks, Xidian University, Shaanxi, Xi’an; 710071, China;17School of Information Mechanics and Sensing Engineering, Xidian University, Shaanxi, Xi’an; 710071, China;18Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai; 201800, China;19Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing; 100190, China;20School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing; 100049, China;21Zhejiang Lab, Research Center for Humanoid Sensing, Zhejiang, Hangzhou; 311100, China) | 智能光子学路线图(特邀) | Laser and Optoelectronics Progress 2025 Vol.62 No.17 | 链接 |
| 15 | 基于脉冲神经网络的边端协同目标检测方法研究 | 王又辰,胡馨月,田宗凯,杨雨婷,邹华懿,尤宝鑫,方志,杨艳萍(北京计算机技术及应用研究所) | Research on Edge-End Collaborative Target Detection Method Based on Spiking Neural Network | 网络安全与数据治理 2025 第44卷 第A1期 P247-252 | 链接 |
| 16 | 光电融合类脑计算技术(特邀) | 韩亚楠1,2,项水英1,2,解长健1,张雅慧1,2,郭星星1,2,王涛1,郝跃2(西安电子科技大学空天地一体化综合业务网全国重点实验室;西安电子科技大学微电子学院宽禁带半导体国家工程研究中心) | Optoelectronic Fusion Brain-Inspired Computing Technology (Invited) | 光学学报 2025 第45卷 第17期 P126-137 | 链接 |
| 17 | 重构人工智能的数理疆域新高峰——江苏省机器学习与网络安全交叉研究工程中心主任、教授李凡长 | 刘静(无明确机构标注) | Reconstructing a New Peak in the Mathematical and Physical Territory of Artificial Intelligence——Li Fanchang, Director and Professor of Jiangsu Engineering Center for Interdisciplinary Research on Machine Learning and Cybersecurity | 中国科技成果 2025 第16期 P46-47 | 链接 |
| 18 | 基于奖励机制的脉冲时间依赖性可塑性的局部背光调光算法 | 韩嘉宁,安健鹏,白岩松,刘智慧(北方自动控制技术研究所) | Local Backlight Dimming Algorithm Based on Reward-Mechanism Spike-Timing Dependent Plasticity | 电子制作 2025 第18期 P62-65 | 链接 |
| 19 | 偏斜分析优化SNN-LSTM算法在数控机床主轴误差预测中的应用 | 王舒玮(山西大同大学机电工程学院) | Application of Skewness Analysis Optimized SNN-LSTM Algorithm in Spindle Error Prediction of CNC Machine Tools | 机床与液压 2025 第18期 P68-73 | 链接 |
| 20 | Spiking neural networks with uncertainty model of stochastic sampling for circuit yield enhancement | Zenan Huang1;Wenrun Xiao1;Haojie Ruan1;Shan He1;Donghui Guo1(1the Department of Microelectronics and Integrated Circuit, Xiamen University, Xiamen, 361005, Fujian, China) | 基于随机采样不确定性模型的脉冲神经网络用于电路良率提升 | Engineering Applications of Artificial Intelligence 2026 Vol.163 Part 1 P112523 | 链接 |
| 21 | A memristor-based spiking neural network circuit with hardware-optimized unsupervised STDP | Ouwen Zhang1;Dainan Zhang2;Junjie Wang1;Shuang Liu1;Hao Jiang3;Zhongrui Wang4;Xiaojuan Qi5(1School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China;2National Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China;3Frontier Institute of Chip and System, Fudan University, Shanghai, China;4School of Microelectronics, Southern University of Science and Technology, Shenzhen, Guangdong, China;5Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China) | 基于忆阻器的硬件优化无监督STDP脉冲神经网络电路 | Microelectronics Journal 2026 Vol.167 P106916 | 链接 |
| 22 | Aerodynamic optimization for airfoils inspired from Swift’s wing using kriging surrogate model | Zhuye Xia1,2,3;Yijuan Gu1,2,3;Luyao Tang1,2;Zhenbo Lu1,2(1School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-sen University, Shenzhen, , 518107, China;2School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, , 518107, China;3Authors contributed equally to this work.) | 基于克里金代理模型的雨燕翼型启发式气动优化 | Aerospace Science and Technology 2026 Vol.168 Part E P111125 | 链接 |
| 23 | Adaptive dendritic plasticity in brain-inspired dynamic neural networks for enhanced multi-timescale feature extraction | Jiayi Mao 1;Hanle Zheng 1;Huifeng Yin 1;Hanxiao Fan 1;Lingrui Mei 2;Hao Guo 3;Yao Li 4;Jibin Wu 5;Jing Pei 1;Lei Deng 6(1Center for Brain Inspired Computing Research, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China;2Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China;3College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, 030600, China;4College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, 030600, China;5Department of Data Science and Artificial Intelligence and Department of Computing, Hong Kong Polytechnic University, Hong Kong SAR, China;6Center for Brain Inspired Computing Research, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China) | 类脑动态神经网络中的自适应树突可塑性用于增强多时间尺度特征提取 | Neural networks : the official journal of the International Neural Network Society 2026 Vol.194 P108191 | 链接 |
| 24 | Spatiotemporal patterns in FitzHugh–Nagumo network and its application in image encryption | Zhao Yao1;Kehui Sun1;Huihai Wang2(1School of Physics, Central South University, Changsha, 410083, China;2School of Electronic Information, Central South University, Changsha, 410083, China) | FitzHugh-Nagumo网络中的时空模式及其图像加密应用 | Neural Networks 2026 Vol.195 P108204 | 链接 |
| 25 | LAMSNN: Learnable adaptive modulation for artifact suppression in spiking underwater image enhancement networks | Jinxin Shao1,2;Haosu Zhang1,3;Jianming Miao1,3(1School of Ocean Engineering and Technology, Sun Yat-sen University, Tangqi Road, Xiangzhou District, Zhuhai, 519000, Guangdong, China;2College of Information Technology, Eastern Liaoning University, No. 325 Wenhua Road, Yuanbao District, Dandong, 118000, Liaoning, China;3Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Tangqi Road, Xiangzhou District, Zhuhai, 519000, Guangdong, China) | LAMSNN:用于脉冲水下图像增强网络伪影抑制的可学习自适应调制 | Neural Networks 2026 Vol.195 P108210 | 链接 |
| 26 | Boosting neural Chaos via memcapacitive electromagnetic radiation in a unidirectional ring neural network | Fan Shi1;Yinghong Cao1;Xianying Xu1;Santo Banerjee2;Jun Mou1(1School of Information Science and Engineering, Dalian Polytechnic University, Dalian, 116034, China;2Department of Mathematical Sciences, Giuseppe Luigi Lagrange, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy) | 单向环形神经网络中基于_memcapacitive电磁辐射的神经混沌增强 | Chaos, Solitons & Fractals 2026 Vol.202 Part 1 P117435 | 链接 |
| 27 | Integrated graph neural network framework for threshold-driven topology optimization of transient phase change thermal energy storage | Rui Zhao1;Yin-Ye Qian1;Bin Ye1;Hui Liang2(1School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, Anhui 230009, PR China;2School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, PR China) | 用于阈值驱动瞬态相变储能拓扑优化的集成图神经网络框架 | International Journal of Heat and Mass Transfer 2026 Vol.256 Part 1 P128011 | 链接 |
| 28 | A matrix-assisted surrogate particle swarm optimization algorithm for multi-objective deployment of solar insecticidal lamps | Wenjie Liu1;Donglin Zhu1;Changjun Zhou1;Shi Cheng2;Lianbo Ma3;Taiyong Li4(1School of Computer Science and Technology, Zhejiang Normal University, Jinhua, 321004, China;2School of Computer Science, Shaanxi Normal University, Xi’an, 710119, China;3College of Software, Northeastern University, Shenyang, 110819, Liaoning, China;4School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China) | 用于太阳能杀虫灯多目标部署的矩阵辅助代理粒子群优化算法 | Expert Systems with Applications 2026 Vol.299 Part A P129926 | 链接 |
| 29 | Data-driven modeling for rapid prediction of non-uniform convective heat transfer in BIPV double-skin facades | Yixiong Huang1,2;Kang Zhao1,3;Jian Ge1,3,4;Yujie Zhao5(1Department of Architecture, Zhejiang University, Hangzhou, China;2Center for Balance Architecture, Zhejiang University, Hangzhou, China;3Architectural Design & Research Institute of Zhejiang University, Hangzhou, China;4International Research Center for Green Building and Low-Carbon City, International Campus, Zhejiang University, Hangzhou, China;5Hangzhou City University, Hangzhou, China) | BIPV双层表皮非均匀对流换热的数据分析快速预测建模 | Energy and Buildings 2026 Vol.350 P116612 | 链接 |
| 30 | Design of energy-efficient LIF neuron using CMOS compatible gate-all-around floating nanosheet FET for bio-inspired spiking neural networks | Yashodhan Bhatawdekar1;Syed Mohammad Riyaz1;Lakshmi Amrutha Yechuri1;Sresta Valasa1;Venkata Ramakrishna Kotha1;Sunitha Bhukya1;Shubham Tayal2;Narendar Vadthiya1(1Department of Electronics and Communication Engineering, National Institute of Technology Warangal, 506004, India;2Layout Design, Staff engineer, Synopsys India Pvt. Ltd, Hyderabad 500032, India) | 基于CMOS兼容全环绕栅浮置纳米片FET的节能型LIF神经元设计用于类脑脉冲神经网络 | Neurocomputing 2026 Vol.659 P131814 | 链接 |
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