Publications

For an up-to-date bibliography, please see my Google Scholar profile.

Journal Papers

• Jing Zhang, K Huang, Y Zhang, B Guo, Z Yu, “Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method”, IEEE Transactions on Knowledge and Data Engineering, 2026.

• Jing Zhang, Y Chen, Y Zhang, B Guo, R Xu, “DWHA-PCMSP: Salient Object Detection Network in Coal Mine Industrial IoT”, IEEE Transactions on Industrial Informatics, vol. 21, no. 7, pp. 5746–5754, 2025.

• Jing Zhang, X Li, B Li, Y Xu, J Su, “CEA-RPCMLP-HGNN: Point of Interest Recommendation Method for City Tourism Crowd”, IEEE Internet of Things Journal, 2026.

• Jing Zhang, L Han, B Guo, “Sparse Mobile Crowdsensing for Gas Monitoring in Coal Mine Working Face”, IEEE Internet of Things Journal, vol. 11, no. 22, pp. 36633–36645, 2024.

• Jing Zhang, K Huang, D Lang, Y Xu, HA Li, X Li, “Research on Multifeature Fusion False Review Detection Based on DynDistilBERT-BiLSTM-CNN”, IEEE Internet of Things Journal, vol. 11, no. 18, pp. 30040–30053, 2024.

• Jing Zhang, Q Yan, X Zhu, K Yu, “Smart Industrial IoT Empowered Crowd Sensing for Safety Monitoring in Coal Mine”, Digital Communications and Networks, vol. 9, no. 2, pp. 296–305, 2023.

• X Shang, L Tan, K Yu, Jing Zhang, K Kaur, MM Hassan, “Newton-Interpolation-Based zk-SNARK for Artificial Internet of Things”, Ad Hoc Networks, vol. 123, article 102656, 2021.

• Jing Zhang, H Zhou, K Liu, Y Xu, “ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images”, Sensors, vol. 25, no. 8, article 2432, 2025.

• Jing Zhang, B Li, Y Zhang, Y Xu, H Li, “Research on the Recommendation Method of Urban Location Point of Interest Based on DTCN-EFFN-Transformer”, The Journal of Supercomputing, vol. 81, no. 1, article 221, 2025.

• Jing Zhang, D Li, Q Hua, X Qi, Z Wen, SH Myint, “3D Remote Healthcare for Noisy CT Images in the Internet of Things Using Edge Computing”, IEEE Access, vol. 9, pp. 15170–15180, 2021.

• Jing Zhang, LR Gong, K Yu, X Qi, Z Wen, Q Hua, SH Myint, “3D Reconstruction for Super-Resolution CT Images in the Internet of Health Things Using Deep Learning”, IEEE Access, vol. 8, pp. 121513–121525, 2020.

• HA Li, M Zhang, K Yu, Jing Zhang, Q Hua, B Wu, Z Yu, “Combined Forecasting Model of Cloud Computing Resource Load for Energy-Efficient IoT System”, IEEE Access, vol. 7, pp. 149542–149553, 2019.

• H Li, D Wang, Jing Zhang, Z Li, T Ma, “Image Super-Resolution Reconstruction Based on Multi-Scale Dual-Attention”, Connection Science, vol. 35, no. 1, article 2182487, 2023.

• H Li, M Zhang, D Chen, Jing Zhang, M Yang, Z Li, “Image Color Rendering Based on Hinge-Cross-Entropy GAN in Internet of Medical Things”, CMES - Computer Modeling in Engineering and Sciences, vol. 135, no. 1, pp. 779–794, 2022.

• Jing Zhang, K Yu, Z Wen, X Qi, AK Paul, “3D Reconstruction for Motion Blurred Images Using Deep Learning-Based Intelligent Systems”, Computers, Materials and Continua, vol. 66, no. 2, pp. 2087–2104, 2020.

• Jing Zhang, X Qi, Z Wen, “Deep-Learning-Empowered 3D Reconstruction for Dehazed Images in IoT-Enhanced Smart Cities”, Computers, Materials and Continua, vol. 68, no. 2, pp. 2807–2824, 2021.