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论文著作【期刊论文24篇,会议论文25篇】

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2024

  1. Li, Bingbing, Jiaren Li, Jiang Lu, and Zhenyi Xu*. 2024. "Spatiotemporal Distribution Characteristics and Inventory Analysis of Near-Road Traffic Pollution in Urban Areas" Atmosphere 15, no. 4: 417.(SCI: 中科院4区, JCR Q3)
  2. Pei, Lihong, Yang Cao*, Yu Kang*, Zhenyi Xu, Guoan Zhang, and Qianming Liu. "Regional Air Pollution Spatiotemporal Analysis with Spatiotemporal Graph Clustering," 2023 9th International Conference on Big Data and Information Analytics (BigDIA), Haikou, China, 2023, pp. 883-888.(EI)
  3. Deng, Huilin, Yanming Guo, Zhenyi Xu*, and Yu Kang*. "PTMNet: Pixel-Text Matching Network for Zero-Shot Anomaly Detection," 2023 9th International Conference on Big Data and Information Analytics (BigDIA), Haikou, China, 2023, pp. 781-787.(EI)

2023

  1. Pei, Lihong, Yang Cao*, Yu Kang*, Zhenyi Xu, and Zhenyi Zhao. "Self-Supervised Spatiotemporal Clustering of Vehicle Emissions With Graph Convolutional Network," IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3293463.(T1,SCI:中科院1区, JCR Q1)
  2. Xu, Zhenyi, Yu Kang*, and Yang Cao*. "High-Resolution Urban Flows Forecasting with Coarse-Grained Spatiotemporal Data." IEEE Transactions on Artificial Intelligence 4, no. 2 (2023):315-327.(EI)
  3. Zhenyi, Xu*, Ruibin Wang, Kai Pan, Jiaren Li, and Qilai Wu. "Two-Stream Networks for COPERT Correction Model with Time-Frequency Features Fusion" Atmosphere 14, no. 12(2023): 1766.(SCI: 中科院4区, JCR Q3)
  4. Pan, Kai, Jiang Lu, Jiaren Li, and Zhenyi Xu*. "A Hybrid Autoformer Network for Air Pollution Forecasting Based on External Factor Optimization" Atmosphere 14, no. 5(2023): 869.(SCI: 中科院4区, JCR Q3)
  5. Kang, Yu, Tao Wang*, Pengfei Li*, Zhenyi Xu, and Yunbo Zhao, "Compound Event-Triggered Distributed MPC for Coupled Nonlinear Systems." IEEE Transactions on Cybernetics 53, no. 9 (2023):5572-5584.(T1,SCI: 中科院1区, JCR Q1)
  6. Zhao, Zhenyi, Yang Cao, Zhenyi Xu, and Yu Kang*. "Traffic emission estimation under incomplete information with spatiotemporal convolutional GAN." Neural Computing and Applications 35,(2023): 15821-15835.(T1,SCI: 中科院3区, JCR Q2)
  7. Xu, Zhenyi*, Renjun Wang, Yang Cao, and Yu Kang*. “High-emitter identification for heavy-duty vehicles by temporal optimization LSTM and adaptive dynamic threshold.” Frontiers of Information Technology & Electronic Engineering 24, no. 11(2023): 1633-1646.(T1,SCI: 中科院3区, JCR Q2)
  8. Li, Jiaren, Zhenyi Xu*, Yang Cao, Xiushan Xia, Yu Kang*. "Emission Evaluation for Diesel Vehicles Under Typical Operating Conditions," 2023 International Conference on Advanced Robotics and Mechatronics (ICARM), Sanya, China, 2023, pp. 686-690. (EI)
  9. Liu, Binkun, Yunbo Zhao*, Yu Kang, Yang Cao, Peng Bai, and Zhenyi Xu. “A Feature Engineering-based Method for PCB Solder Paste Position Offset Prediction.”2023 6th International Symposium on Autonomous Systems (ISAS), Nanjing, China, 2023, pp. 1-6. (EI)
  10. Mingliang Fang, Zhenyi Xu*, Yang Cao, Yu Kang."A PCB defect detection method based on multi-task learning mechanism".第三十五届中国仿真大会论文集, 2023, 539-551.
  11. 李兵兵,康宇,曹洋,李亚民,许镇义*。基于短行程特征聚类的移动源排放清单构建方法,合肥工业大学学报(自然科学版),2023,46(12):1585-1594.(北大核心)

2022

  1. 周伯荣,程伟国,许镇义*,温秀兰.基于改进在线极限学习机的短时交通流预测模型研究[J].计算机工程与科学,2022,44(05):944-950.(T2,北大核心,CSCD)
  2. 许镇义,王瑞宾,康宇*,曹洋,张聪,王仁军.移动源排放遥测主要影响因素分析及预测[J].大气与环境光学学报,2022,17(02):220-229.(CSCD)
  3. Wang, Renjun, Xiushan Xia, and Zhenyi Xu*. "Identification of High Emission Mobile Sources Based on Self-supervised Representation Network." Asian Simulation Conference. Springer, Singapore, 2022.(EI)
  4. Yu, Chengkai, Yunbo Zhao*, and Zhenyi Xu*. "SMT Component Defection Reassessment Based on Siamese Network." Asian Simulation Conference. Springer, Singapore, 2022.(EI)
  5. Wang, Wei, Wangyou Gui, and Zhenyi Xu*. "Solder Paste Printing Quality Prediction Model Based on PSO Optimization." Asian Simulation Conference. Springer, Singapore, 2022.(EI)
  6. Wang, Ruibin, Xiushan Xia*, and Zhenyi Xu*. "Heavy-Duty Emission Prediction Model Using Wavelet Features and ResNet." Asian Simulation Conference. Springer, Singapore, 2022.(EI)
  7. Shi, Kehao, Zhenyi Xu*, Yang Cao, and Yu Kang*. "An End-to-End Edge Computing System for Real-Time Tiny PCB Defect Detection." Asian Simulation Conference. Springer, Singapore, 2022.(EI)
  8. Tan, Jifang, Yang Cao, Futian Wang, Xiushan Xia*, and Zhenyi Xu*. "VOCs Leakage Detection Based on Weak Temporal Attention Asymmetric 3D Convolution." 2022 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2022.
  9. Chen, Jiayi, Yang Cao*, Yu Kang*, Zhenyi Xu, and Xiushan Xia. "CFL-Net: An Environmental Inspection Stations Diesel Vehicle Black Smoke Detection Network Based on Color Features Location." 2022 41st Chinese Control Conference (CCC). IEEE, 2022. (EI)
  10. Lu, Ye, Yang Cao*, Yu Kang*, Zhenyi Xu, and Xiushan Xia. "Application of Imbalanced Data Enhancement Technique Based on Feature Distribution Smoothing in Exhaust Prediction." 2022 41st Chinese Control Conference (CCC). IEEE, 2022. (EI)
  11. Liu, Binkun, Yunbo Zhao*, Yang Cao*, Yu Kang, and Zhenyi Xu. "A Robustness Benchmark for Prognostics and Health Management." 2022 41st Chinese Control Conference (CCC). IEEE, 2022. (EI)
  12. Xu, Zhenyi, Kai Pan, Xiushan Xia*, Yang Cao, and Yu Kang*. "A review of deep learning methods for mobile source emissions prediction." 2nd International Conference on Internet of Things and Smart City (IoTSC 2022). Vol. 12249. SPIE, 2022.(EI)

2021

  1. Xu, Zhenyi*, Ruibin Wang, Yu Kang*, Yujun Zhang, Xiushan Xia, and Renjun Wang. "A Deep Transfer NOx Emission Inversion Model of Diesel Vehicles with Multisource External Influence." Journal of Advanced Transportation 2021 (2021).(SCI:中科院4区, JCR Q3)
  2. Pei, Lihong, Yang Cao*, Yu Kang*, Zhenyi Xu, and Zhenyi Zhao. "UJ-FLAC: Unsupervised Joint Feature Learning and Clustering for Dynamic Driving Cycles Construction." IEEE Transactions on Intelligent Transportation Systems, 23.8 (2021): 10970-10982.(T1,SCI:中科院1区, JCR Q1)
  3. Li, Zerui, Yu Kang*, Wenjun Lv, Yuping Wu, Cai Chen, and Zhenyi Xu. "High-emitter identification model establishment using weighted extreme learning machine and active sampling." Neurocomputing 441 (2021): 79-91.(T2,SCI:中科院2区, JCR Q2)
  4. Zhao, Zhen-Yi, Yang Cao*, Yu Kang*, and Zhen-Yi Xu. "Prediction of spatiotemporal evolution of urban traffic emissions based on taxi trajectories." International Journal of Automation and Computing 18, no. 2 (2021): 219-232.(SCI:中科院4区)
  5. Xu, Zhenyi, Yu Kang*, Yang Cao*, and Zerui Li. "Deep amended COPERT model for regional vehicle emission prediction." Science China Information Sciences 64 (2021): 1-3.(T1,SCI:中科院2区, JCR Q1)
  6. Kang, Yu, Jie Chen, Yang Cao, and Zhenyi Xu*. "A Higher-Order Graph Convolutional Network for Location Recommendation of an Air-Quality-Monitoring Station." Remote Sensing 13, no. 8 (2021): 1600.(T2,SCI:中科院2区, JCR Q1)
  7. Kang, Yu, Zerui Li*, Wenjun Lv, Zhenyi Xu, Wei Xing Zheng, and Ji Chang. "High-emitting vehicle identification by on-road emission remote sensing with scarce positive labels." Atmospheric Environment 244 (2021): 117877.(T1,SCI:中科院2区, JCR Q1)
  8. 许镇义*,王仁军,张聪,王瑞宾,夏秀山.基于深度特征聚类的高排放移动污染源自动识别[J].交通运输系统工程与信息,2021,21(06):298-309.(T1,EI)
  9. 陈杰,许镇义*.基于高阶图卷积网络的城市空气质量推断模型[J].信息技术与网络安全,2021,40(04):33-41+45. (CSCD)
  10. Xu, Zhenyi, Ruibin Wang, Renjun Wang, and Xiushan Xia. "Mobile source emission model based on temporal features transfer." 2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 2021. (EI)
  11. Xu, Zhenyi, Renjun Wang, Ruibin Wang, Cong Zhang, and Xiushan Xia. "Unsupervised identification of high-emitting mobile sources based on multi-feature fusion." 2021 China Automation Congress (CAC). IEEE, 2021. (EI)
  12. Lu, Ye, Zhenyi Xu, Yu Kang*, Yang Cao, Binkun Liu, Lihong Pei, Ruibin Wang, and Renjun Wang. "False invoicing feature identification and risk prediction." 2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2021. (EI)

2020

  1. Xu, Zhenyi, Yu Kang*, Yang Cao*, and Zhijun Li. "Spatiotemporal graph convolution multifusion network for urban vehicle emission prediction." IEEE Transactions on Neural Networks and Learning Systems, 32.8 (2020): 3342-3354.(T1,SCI:中科院1区, JCR Q1)
  2. Xu, Zhenyi*, Yu Kang*, and Yang Cao. "Emission stations location selection based on conditional measurement GAN data." Neurocomputing 388 (2020): 170-180.(T2,SCI:中科院2区, JCR Q2)
  3. Cheng, Weiguo, and Zhenyi Xu*. "ECS Request Prediction with Attention-LSTM." 2020 Chinese Automation Congress (CAC). IEEE, 2020.(EI)
  4. Pei, Lihong, Zhenyi Xu, Yu Kang*, Yang Cao, and Binkun Liu. "Air pollution lidar echo signals preprocessing and classification." 2020 39th Chinese Control Conference (CCC). IEEE, 2020.(EI)
  5. Liu, Binkun, Zhenyi Xu, Yu Kang, Yang Cao, and Lihong Pei. "Air Pollution Lidar Signals Classification Based on Machine Learning Methods." 2020 39th Chinese Control Conference (CCC). IEEE, 2020. (EI)
  6. Xu, Zhenyi, Yang Cao*, Yu Kang*, and Zhenyi Zhao. "Vehicle emission control on road with temporal traffic information using deep reinforcement learning." IFAC-PapersOnLine 53, no. 2 (2020): 14960-14965. (EI)

2019

  1. Xu, Zhenyi, Yang Cao, and Yu Kang*. "Deep spatiotemporal residual early-late fusion network for city region vehicle emission pollution prediction." Neurocomputing 355 (2019): 183-199. (T2,SCI:中科院2区, JCR Q2)
  2. Xu, Zhen-yi, Yu Kang*, Yang Cao, and Yu-xiao Yang. "Man-machine verification of mouse trajectory based on the random forest model." Frontiers of Information Technology & Electronic Engineering 20, no. 7 (2019): 925-929.(T2,SCI:中科院3区, JCR Q2)

2018

  1. Xu, Zhenyi, Yu Kang*, Yang Cao, and Longchuan Yue. "Residual autoencoder-LSTM for city region vehicle emission pollution prediction." 2018 IEEE 14th International Conference on Control and Automation (ICCA). IEEE, 2018. (EI)

2017

  1. Xu, Zhenyi, Yu Kang*, and Wenjun Lv. "Analysis and prediction of vehicle exhaust emission using ann." 2017 36th chinese control conference (ccc). IEEE, 2017. (EI)

2016

  1. Xu, Zhenyi, and Yu Kang*. "PWM speed DC motor drive power design." 2016 31st Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2016. (EI)