发表论文

[1] Xiaokang Wang, Laurence T. Yang, Xia Xie*, Jirong Jin, and M. Jamal Deen, “A Cloud-Edge Computing Framework for Cyber-Physical-Social Services,” IEEE Communications Magazine, vol.55, no.11, pp. 80-85, 2017. (ESI热点论文/高被引论文,中科院一区)

[2] Xiaokang Wang, Laurence T. Yang, Liwei Kuang, Xingang Liu*, Qingxia Zhang and M. Jamal Deen,“A Tensor-based Big Data-Driven Routing Recommendation Approach for Heterogeneous Networks,” IEEE Network Magazine, vol. 33, no. 1, pp. 64-69, 2019. (ESI热点论文/高被引论文,中科院一区)

[3] Xiaokang Wang, Laurence T. Yang*, Yihao Wang, Lei Ren, M. Jamal Deen, “ADTT: A Highly-Efficient Distributed Tensor-Train Decomposition Method for IIoT Big Data,” IEEE Transactions on Industrial Informatics, vol.17, no. 3, pp. 1573-1582, 2020. (ESI热点论文/高被引论文,中科院一区,IEEE Trans.)

[4] Xiaokang Wang, Laurence T. Yang*, Liwen Song, Huihui Wang, Lei Ren, and M. Jamal Deen, “A Tensor-based Multi-Attributes Visual Feature Recognition for Industrial Intelligence,” IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2231-2241, 2020. (ESI高被引论文,中科院一区,IEEE Trans.)

[5] Xiaokang Wang, Laurence T. Yang*, Lei Ren, Yihao Wang, and M. Jamal Deen, “A Tensor-based Computing and Optimization Model for Intelligent Edge Services,” IEEE Network, vol.36, no.1, pp. 40-44, 2022. (中科院一区)

[6] Xiaokang Wang, Lei Ren*, Ruixue Yuan, Laurence T. Yang, and M. Jamal Deen, “QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for IIoT Big Data,” IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3140238, 2022. (中科院一区,IEEE Trans.)

[7] Xiaokang Wang, Laurence T. Yang*, Hongguo Li, Man Lin, Jan-jun Han, B.O. Apduhan, “NQA: A Nested Anti-collision Algorithm for RFID Systems” ACM Transactions on Embedded Computing Systems, vol.18, no. 4, DOI:10.1145/3330139, 2019.(ACM Trans.)

[8] Xiaokang Wang, Laurence T. Yang*, Xingyu Chen, and Jian-Jun Han, “A Tensor Computation and Optimization Model for Cyber-Physical-Social Big Data,” IEEE Transactions on Sustainable Computing, vol.4, no.4, pp.326-339, 2019. (封面论文,IEEE Trans.)

[9] Xiaokang Wang, Laurence T. Yang*, Jun Feng, Xingyu Chen, and M. Jamal Deen, “A Tensor-based Big Service Framework for Enhanced Living Environments,” IEEE Cloud Computing, vol. 3, no. 6, pp.36-43, 2016.

[10] Xiaokang Wang, Laurence T. Yang*, Xingyu Chen, Lizhe Wang, Rajiv Ranjan, Xiaodao Chen, and M. Jamal Deen, “A Multi-order Distributed HOSVD with its Incremental Computing for Big Service in Cyber-Physical-Social Systems,” IEEE Transactions on Big Data, vol.6, no. 4, pp.666-678, 2020.(IEEE Trans.)

[11] Xiaokang Wang, Laurence T. Yang*, Huazhong Liu, and M. Jamal Deen, “A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives,” IEEE Transactions on Big Data, vol. 4, no. 3, pp. 325-340, 2018. (IEEE Trans.)

[12] Xiaokang Wang, Wei Wang*, Laurence T. Yang, Siwei Liao, Dexiang Yin,and M. Jamal Deen, “A Distributed HOSVD Method with its Incremental Computation for Big Data in Cyber-Physical-Social Systems,” IEEE Transactions on Computational Social Systems, vol.5, no. 2, pp. 481-492, 2018. (IEEE Trans.)

[13] Xiaokang Wang, Laurence T. Yang*, Xingyu Chen, M. Jamal Deen, and Jirong Jin, “Improved Multi-order Distributed HOSVD with its Incremental Computing for Smart City Services,” IEEE Transactions on Sustainable Computing, vol.6, no.3, pp.456-468, 2021. (ESI高被引论文, IEEE TSCUS 2021最佳论文奖)

[14] Xiaokang Wang, Laurence T. Yang*, Yihao Wang, Xingang Liu, Qingxia Zhang, and M. Jamal Deen, “A Distributed Tensor-Train Decomposition Method for Cyber-Physical-Social Services,” ACM Transactions on Cyber Physical Systems, vol.3, no.4, DOI:10.1145/3323926, 2019. (ACM Trans.)

[15] Lianyong Qi, Xiaokang Wang*, Xiaolong Xu, Wanchun Dou, Shancang Li, “Privacy-Aware Cross-Platform Service Recommendation based on Enhanced Locality-Sensitive Hashing”, IEEE Transactions on Network Science and Engineering, vol.8, no.2, pp.1145-1153, 2020. (ESI高被引论文,IEEE Trans.)

[16] Yan Kang, Xuekun Yang, Bin Pu, Xiaokang Wang*, Haining Wang, Yulong Xu, Puming Wang, “HWOA: An Intelligent Hybrid Whale Optimization Algorithm for Multi-objective Task Selection Strategy in Edge Cloud Computing System”, World Wide Web, DOI:10.1007/s11280-022-01082-7, 2022 (CCF B)

[17] Wanchun Dou, Bowen Liu, Chuangwei Lin, Xiaokang Wang*, Xutong Jiang, Lianyong Qi,“Architecture of Virtual Edge Data Center with Intelligent Metadata Service of a Geo-distributed File System”, Journal of Systems Architecture, DOI:10.1016/j.sysarc.2022.102545, 2022 (CCF B)

[18] Xiaokang Wang, Laurence T. Yang*, Enyuan Cao, Luyang Guo, and M. Jamal Deen “T Tensor-based t-SVD-LSTM Remaining Useful Life Prediction Model for Industrial Intelligence,” IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2022.3220854, 2022. (中科院一区,IEEE Trans.)

Paper of co-author：

[1] Lei Ren*, Xuejun Cheng, Xiaokang Wang, Jin Cui, Lin Zhang, “Multi-Scale Dense Gate Recurrent Unit Networks for Bearing Remaining Useful Life Prediction,” Future Generation Computer Systems, vol. 94, pp. 601-609, 2019. (ESI高被引论文)

[2] Lei Ren*, Zihao Meng, Xiaokang Wang, Renquan Lu, and Laurence T. Yang, “A Wide-Deep-Sequence Model based Quality Prediction Method in Industrial Process Analysis,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3721-3731, Sep. 2020. (ESI高被引论文, 中科院一区,IEEE Trans.)

[3] Lei Ren*, Zihao Meng, Xiaokang Wang, Lin Zhang and Laurence T. Yang, “A Data-driven Approach of Product Quality Prediction for Complex Production Systems,” IEEE Transactions on Industrial Informatics, vol.17, no.9, pp.6457-6465, 2020. (ESI高被引论文, 中科院一区,IEEE Trans.)

[4] Lei Ren*, Jiabao Dong, Xiaokang Wang, Zihao Meng, Li Zhao, M. Jamal Deen, “A Data-driven Auto-CNN-LSTM Prediction Model for Lithium-ion Battery Remaining Useful Life,” IEEE Transactions on Industrial Informatics, vol.17, no.5, pp.3478-3487, May 2021. (ESI高被引论文, 中科院一区,IEEE Trans.)

[5] Liwei Kuang, Laurence T. Yang*, Xiaokang Wang, Puming Wang, Yaliang Zhao, “A Tensor-based Big Data Model for QoS Improvement in Software Defined Networks,” IEEE Network, vol. 30, no. 1, pp. 30-35, 2016. (中科院一区)

[6] Lei Ren*, Zidi Jia, Xiaokang Wang, Jiabao Dong, Wei Wang,“A T2-Tensor-aided Multi-Scale Transformer for Remaining Useful Life Prediction in IIoT,”IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2022.3166790, 2022. (中科院一区,IEEE Trans.)

[7] Lei Ren, Yuxin Liu, Xiaokang Wang, Jinhu Lv, M. Jamal Deen, “Cloud-Edge based Lightweight Temporal Convolutional Networks for Remaining Useful Life Prediction in IIoT,” IEEE Internet of Things Journal, vol.8, no.16, pp.12578-12587, 2020.

[8] Yinxue Yi, Zufan Zhang, Laurence T. Yang, Xianjun Deng, Lingzhi Yi, and Xiaokang Wang, “Social Interaction and Information Diffusion in Social Internet of Things: Dynamics, Cloud-Edge, Traceability,” IEEE Internet of Things Journal, vol.8, no.4, pp.2177-2192, 2020.

[9] Bin Hu, Kehua Guo, Xiaokang Wang, Jian Zhang, Di Zhou, “RRL-GAT: Graph Attention Network-driven Multi-Label Image Robust Representation Learning”, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2021.3089180, 2021.

[10] Xia Xie, Xiaodong Yang, Xiaokang Wang, Hai Jin, Duoqiang Wang, Xijiang Ke, “BFSI-B: An Improved K-Hop Graph Reachability Queries for Cyber-Physical Systems,” Information Fusion, vol.38, pp. 35-42, 2017.

[11] Jin Cui, Lei Ren, Xiaokang Wang, Lin Zhang, “Pairwise Comparison Learning based Bearing Health Quantitative Modeling and its Application in Service Life Prediction,” Future Generation Computer Systems, vol. 97, pp.578-586, 2019.

[12] Meng Zhao, Hao Wang, Ying Han, Xiaokang Wang, Hong-Ning Dai, Xuguo Sun, Jin Zhang and Marius Pedersen, “SEENS: Nuclei Segmentation in Pap Smear Images with Selective Edge Enhancement,” Future Generation Computer Systems, vol.114, pp.185-194, 2021.

[13] Lei Ren, Yuanjun Laili, Xiang Li, and Xiaokang Wang, “Coding-based Large-Scale Task Assignment for Industrial Edge Intelligence”, IEEE Transactions on Network Science and Engineering, vol.7, no.4, pp. 2286-2297, 2019.

[14] Yuanjun Laili, Xiang Li, Yongjing Wang, Lei Ren, and Xiaokang Wang, “Robotic Disassembly Sequence Planning with Backup Actions”, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2021.3072663, 2021.

[15] Yinxue Yi, Zufan Zhang, Laurence T. Yang, Xiaokang Wang, and Chenquan Gan, “Edge-aided Control Dynamics for Information Diffusion in Social Internet of Things,” Neurocomputing, DOI: 10.1016/j.neucom.2021.03.140, 2021.

[16] Hu Zhu, Tao Xie, Yusheng Guan, Lizhen Deng, and Xiaokang Wang, “Hypergraph Matching with an Entropy Barrier Function,” IEEE ACCESS, vol.7, no. 1, pp.16638-16647, 2019.

[17] Huazhong Liu, Jihong Ding, Laurence T. Yang, Yimu Guo, Xiaokang Wang, and Anyuan Deng, “Multi-dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education”, IEEE Transactions on Sustainable Computing, DOI: 10.1109/TSUSC.2019.2954456, 2019.

[18] Lei Ren, Yingjie Li, Xiaokang Wang, Jin Cui, and Lin Zhang, “An ABGE-aided Manufacturing Knowledge Graph Construction Approach for Heterogeneous IIoT Data Integration,” International Journal of Production Research, DOI:10.1080/00207543.2022.2042416, 2022

[19] Wenwen Gong, Huiping Wu, Xiaokang Wang, Xuyun Zhang, Yawei Wang, Yifei Chen, and M. R. Khosravi, “Diversified and Compatible Web APIs Recommendation in IoT”, Digital Communications and Networks, arXiv preprint arXiv:2107.10538, 2021.

[20] Lizhen Deng, Yuxin Cao, Zhongyang Wang, Xiaokang Wang, and Yu Wang, “A Multidimensional Tensor Low RankMethod for Magnetic Resonance Image Denoising,” IEEE Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2023.3272893, 2023.

[21] Yuanjun Laili, Zelin Chen, Lei Ren, Xiaokang Wang, and M. Jamal Deen, “Custom Grasping: A Region-based Robotic Grasping Detection Method in Industrial Cyber-Physical Systems”, IEEE Transactions on Automation Science and Engineering, DOI: T-ASE-2020-1038, 2021.