Ye Tang

According to our database, Ye Tang authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction: FLM-ICR: a federated learning model for classification of internet of vehicle terminals using connection records.

Kai Yang, Jiawei Du, Jingchao Liu, Feng Xu, Ye Tang, Ming Liu, Zhibin Li

J. Cloud Comput., December, 2024

FLM-ICR: a federated learning model for classification of internet of vehicle terminals using connection records.

Kai Yang, Jiawei Du, Jingchao Liu, Feng Xu, Ye Tang, Ming Liu, Zhibin Li

J. Cloud Comput., December, 2024

Distance Information Improves Heterogeneous Graph Neural Networks.

Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang

IEEE Trans. Knowl. Data Eng., March, 2024

A Comprehensive On-Load Calibration Method for Industrial Robots Based on a Unified Kinetostatic Error Model and Gaussian Process Regression.

Yaohua Zhou, Chin-Yin Chen, Ye Tang, Hongyu Wan, Jingbo Luo, Guilin Yang, Chi Zhang

IEEE Trans. Instrum. Meas., 2024

2023

Fast Infrared Small Target Detection Based on Global Contrast Measure Using Dilate Operation.

Ye Tang, Kun Xiong, Chunxi Wang

IEEE Geosci. Remote. Sens. Lett., 2023

Optimal Operation of Microgrid with Energy Storage Considering the Energy-Loss Rate.

Ye Tang, Qiaozhu Zhai, Yuzhou Zhou, Jiexing Zhao, Zhihan Han

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

A Novel, Efficient, Green and Real-Time Load Balancing Algorithm for 5G Network Measurement Report Collecting Clusters.

Pengfei Zhang, Junhuai Li, Ye Tang, Huaijun Wang, Ting Cao

J. Circuits Syst. Comput., December, 2022

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.

Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang

IEEE Trans. Neural Networks Learn. Syst., 2022

Simulated Annealing Algorithm-Aided SC Decoder for Polar Codes.

Guiping Li, Ye Tang, Liu He

J. Circuits Syst. Comput., 2022

NDGGNET-A Node Independent Gate based Graph Neural Networks.

Ye Tang, Xuesong Yang, Xinrui Liu, Xiwei Zhao, Zhangang Lin, Changping Peng

CoRR, 2022

Intelligent monitoring of noxious stimulation during anaesthesia based on heart rate variability analysis.

Qiang Yin, Dai Shen, Ye Tang, Qian Ding

Comput. Biol. Medicine, 2022

Aquila: A unified, low-latency fabric for datacenter networks.

Dan Gibson, Hema Hariharan, Eric Lance, Moray McLaren, Behnam Montazeri, Arjun Singh, Stephen Wang, Hassan M. G. Wassel, Zhehua Wu, Sunghwan Yoo, Raghuraman Balasubramanian, Prashant Chandra, Michael Cutforth, Peter Cuy, David Decotigny, Rakesh Gautam, Alex Iriza, Milo M. K. Martin, Rick Roy, Zuowei Shen, Ming Tan, Ye Tang, Monica Wong-Chan, Joe Zbiciak, Amin Vahdat

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

A motion assignment strategy based on macro-micro robotic system for enhancement of kinematic performance.

Yaohua Zhou, Chin-Yin Chen, Renfeng Zhu, Ye Tang, Guilin Yang, Weijun Wang, Yaonan Li

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

2019

Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.

Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

IEEE J. Biomed. Health Informatics, 2019

Self-Organized Fission-Fusion Control Algorithm for Flocking Systems Based on Intermittent Selective Interaction.

Panpan Yang, Maode Yan, Jiacheng Song, Ye Tang

Complex., 2019

Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter.

Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li

BMC Bioinform., 2019

Identifying the Innovative Needs of Amazon Users: Based on an Innovative User Segmentation Model.

Xingyu Chen, Ye Tang, Yuyou Ling

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

2018

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model.

Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Analysis of small-signal impedance of STATCOMs in D-Q frame.

Chi Li, Rolando Burgos, Ye Tang, Dushan Boroyevich

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Application of D-Q frame impedance-based stability criterion in power systems with multiple STATCOMs in proximity.

Chi Li, Rolando Burgos, Ye Tang, Dushan Boroyevich

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Application of Powell fruit fly optimization algorithm to solutions of nonlinear equations.

Ye Tang, Wei Zhou, Xuyu Peng

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Chaotic particle swarm optimization for numeric integral.

Ye Tang, Xu-Yu Peng

Proceedings of the 12th International Conference on Natural Computation, 2016

Robot Path Planning for Human Search in Indoor Environments.

Ye Tang, Meiqin Liu, Weihua Sheng, Senlin Zhang

Proceedings of the Cognitive Systems and Signal Processing, 2016

Research on Short-Term Prediction of Power Grid Status Data Based on SVM.

Jianjun Su, Yi Yang, Danfeng Yan, Ye Tang, Zongqi Mu

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015

Cache Side-Channel Attack to Recover Plaintext against Datagram TLS.

Ye Tang, Huiyun Li, Guoqing Xu

Proceedings of the 5th International Conference on IT Convergence and Security, 2015

2014

Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction.

Yu-Bin Yang, Ya-Nan Li, Yang Gao, Hujun Yin, Ye Tang

Int. J. Neural Syst., 2014

2012

Self-paced dictionary learning for image classification.

Ye Tang, Yu-Bin Yang, Yang Gao

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction.

Ye Tang, Yu-Bin Yang, Yang Gao, Yao Zhang, Ying-Chun Cao

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012