- 2021
- Hang Yu, Laurence T. Yang, Xiangchao Fan, Qingchen Zhang:
A deep residual computation model for heterogeneous data learning in smart Internet of Things. Appl. Soft Comput. 107: 107361 (2021) - Mohammad Mehedi Hassan, Giancarlo Fortino, Laurence T. Yang, Hai Jiang, Kim-Kwang Raymond Choo, Jun Jason Zhang, Fei-Yue Wang:
Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems. IEEE CAA J. Autom. Sinica 8(12): 1867 (2021) - Hang Yu, Laurence T. Yang, Qingchen Zhang, David Armstrong, M. Jamal Deen:
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives. Neurocomputing 444: 92-110 (2021) - Shunli Zhang, Laurence T. Yang, Jun Feng, Wei Wei, Zongmin Cui, Xia Xie, Peng Yan:
A tensor-network-based big data fusion framework for Cyber-Physical-Social Systems (CPSS). Inf. Fusion 76: 337-354 (2021) - Cheng Dai, Xingang Liu, Laurence T. Yang, Minghao Ni, Zhenchao Ma, Qingchen Zhang, M. Jamal Deen:
Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. IEEE Internet Things J. 8(12): 9697-9705 (2021) - Yinxue Yi, Zufan Zhang, Laurence T. Yang, Xianjun Deng, Lingzhi Yi, Xiaokang Wang:
Social Interaction and Information Diffusion in Social Internet of Things: Dynamics, Cloud-Edge, Traceability. IEEE Internet Things J. 8(4): 2177-2192 (2021) - Xiongtao Zhang, Xiaomin Zhu, Weidong Bao, Laurence T. Yang, Ji Wang, Hui Yan, Huangke Chen:
Distributed Learning on Mobile Devices: A New Approach to Data Mining in the Internet of Things. IEEE Internet Things J. 8(13): 10264-10279 (2021) - Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu:
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 882-890 (2021) - Feilong Tang, Heteng Zhang, Laurence T. Yang, Long Chen:
Elephant Flow Detection and Load-Balanced Routing with Efficient Sampling and Classification. IEEE Trans. Cloud Comput. 9(3): 1022-1036 (2021) - Nicholaus J. Gati, Laurence T. Yang, Jun Feng, Shunli Zhang, Zhian Ren:
Differentially Private Tensor Deep Computation for Cyber-Physical-Social Systems. IEEE Trans. Comput. Soc. Syst. 8(1): 236-245 (2021) - Fanyu Bu, Chengsheng Hu, Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Thar Baker:
A Cloud-Edge-Aided Incremental High-Order Possibilistic c-Means Algorithm for Medical Data Clustering. IEEE Trans. Fuzzy Syst. 29(1): 148-155 (2021) - Jun Feng, Laurence Tianruo Yang, Ronghao Zhang, Benard S. Gavuna:
Privacy-Preserving Tucker Train Decomposition Over Blockchain-Based Encrypted Industrial IoT Data. IEEE Trans. Ind. Informatics 17(7): 4904-4913 (2021) - Yuan Gao, Guangming Zhang, Chunchun Zhang, Jinke Wang, Laurence T. Yang, Yaliang Zhao:
Federated Tensor Decomposition-Based Feature Extraction Approach for Industrial IoT. IEEE Trans. Ind. Informatics 17(12): 8541-8549 (2021) - Zhenchao Ma, Laurence Tianruo Yang, Qingchen Zhang:
Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. IEEE Trans. Ind. Informatics 17(5): 3382-3390 (2021) - Lei Ren, Zihao Meng, Xiaokang Wang, Lin Zhang, Laurence T. Yang:
A Data-Driven Approach of Product Quality Prediction for Complex Production Systems. IEEE Trans. Ind. Informatics 17(9): 6457-6465 (2021) - Xinghua Li, Yanbing Ren, Laurence T. Yang, Ning Zhang, Bin Luo, Jian Weng, Ximeng Liu:
Perturbation-Hidden: Enhancement of Vehicular Privacy for Location-Based Services in Internet of Vehicles. IEEE Trans. Netw. Sci. Eng. 8(3): 2073-2086 (2021) - Yinxue Yi, Zufan Zhang, Laurence T. Yang, Chenquan Gan, Xianjun Deng, Lingzhi Yi:
Reemergence Modeling of Intelligent Information Diffusion in Heterogeneous Social Networks: The Dynamics Perspective. IEEE Trans. Netw. Sci. Eng. 8(2): 828-840 (2021) - Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang:
Revisiting Recursive Least Squares for Training Deep Neural Networks. CoRR abs/2109.03220 (2021) - 2020
- Wenbin Jiang, Yangsong Zhang, Pai Liu, Jing Peng, Laurence T. Yang, Geyan Ye, Hai Jin:
Exploiting potential of deep neural networks by layer-wise fine-grained parallelism. Future Gener. Comput. Syst. 102: 210-221 (2020) - Xin Nie, Laurence T. Yang, Jun Feng, Shunli Zhang:
Differentially Private Tensor Train Decomposition in Edge-Cloud Computing for SDN-Based Internet of Things. IEEE Internet Things J. 7(7): 5695-5705 (2020) - Qingchen Zhang, Changchuan Bai, Zhuo Liu, Laurence T. Yang, Hang Yu, Jingyuan Zhao, Hong Yuan:
A GPU-based residual network for medical image classification in smart medicine. Inf. Sci. 536: 91-100 (2020) - Zheng Yan, Willy Susilo, Elisa Bertino, Jun Zhang, Laurence T. Yang:
AI-driven data security and privacy. J. Netw. Comput. Appl. 172: 102842 (2020) - Jinhua Cui, Youtao Zhang, Liang Shi, Chun Jason Xue, Jun Yang, Weiguang Liu, Laurence T. Yang:
Leveraging partial-refresh for performance and lifetime improvement of 3D NAND flash memory in cyber-physical systems. J. Syst. Archit. 103: 101685 (2020) - Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li:
Incremental Deep Computation Model for Wireless Big Data Feature Learning. IEEE Trans. Big Data 6(2): 248-257 (2020) - Yaliang Zhao, Laurence T. Yang, Ronghao Zhang:
Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications. IEEE Trans. Emerg. Top. Comput. 8(1): 69-81 (2020) - Fanyu Bu, Qingchen Zhang, Laurence T. Yang, Hang Yu:
An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering. IEEE Trans. Fuzzy Syst. 28(12): 3100-3109 (2020) - Hui Huang, Man Lin, Laurence T. Yang, Qingchen Zhang:
Autonomous Power Management With Double-Q Reinforcement Learning Method. IEEE Trans. Ind. Informatics 16(3): 1938-1946 (2020) - Yong Yuan, Shouyang Wang, David L. Olson, James H. Lambert, Fei-Yue Wang, Chunming Rong, Angelos Stavrou, Jun Zhang, Qiang Tang, Foteini Baldimtsi, Laurence T. Yang, Desheng Wu:
Guest Editorial Special Issue on Blockchain and Economic Knowledge Automation. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 2-8 (2020) - Jun Feng, Laurence T. Yang, Ronghao Zhang, Shunli Zhang, Guohui Dai, Weizhong Qiang:
A Tensor-Based Optimization Model for Secure Sustainable Cyber-Physical-Social Big Data Computations. IEEE Trans. Sustain. Comput. 5(2): 223-234 (2020) - 2019
- Shunli Zhang, Laurence T. Yang, Liwei Kuang, Jun Feng, Jinjun Chen, Vincenzo Piuri:
A Tensor-Based Forensics Framework for Virtualized Network Functions in the Internet of Things: Utilizing Tensor Algebra in Facilitating More Efficient Network Forensic Investigations. IEEE Consumer Electron. Mag. 8(3): 23-27 (2019)