I am a Deep Learning euducator, researcher and engineer with over 8 years of experience in Privacy-Preserving Machine Learning, Computer Vision, and Robotics. I completed my Ph.D. in the Vision and Machine Learning Group (http://csvision.swan.ac.uk/) at Swansea University in 2023. My research interests primarily focus on the fundamental advancements in theoretical machine learning and its applications in privacy-preserving computer vision, data mining, and robotics.

Publications

[8] Watson, M., Ren, H., Arvin, F., & Hu, J. (2024). Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics. 2024 Annual Conference Towards Autonomous Robotic Systems (TAROS). [paper]

[7] Li, Y., Ren, H., Deng, J., Ma, X., & Xie, X. (2024). Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. [paper] [code]

[6] Ren, H., Wang, Y., & Ma, H. (2024). Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data. IECE Transactions on Intelligent Systematics, 1(1), 10-18. [paper]

[5] Ren, H., Deng, J., Xie, X., Ma, X., & Wang, Y. (2024). FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing, 569, 127126. [paper] [code]

[4] Xie, X., Hu, C., Ren, H., & Deng, J. (2024). A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing, 127225. [paper] [code]

[3] Hu, Y., Ren, H., Hu, C., Deng, J., & Xie, X. (2023). An Element-Wise Weights Aggregation Method for Federated Learning. In 2023 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 188-196). IEEE. [paper] [code]

[2] Ren, H., Deng, J., & Xie, X. (2022). GRNN: generative regression neural network—a data leakage attack for federated learning. ACM Transactions on Intelligent Systems and Technology (TIST), 13(4), 1-24. [paper] [code]

[1] Ren, H., Hu, Y., Myint, S. H., Hou, K., Zhang, X., Zuo, M., ... & Li, H. (2021). A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems. Wireless Communications and Mobile Computing, 2021. [paper] [code]

Patent

Methods and Systems for Data Recovery, Europe, WO2022223629A1 (2022, pending)

Face Tracking System and Method Based on Neural Network and Optical Flow, China, CN113792633A (2021)

Training Method of Neural Network, Object Identification Method and Device, China, CN108416440A (2018)

Professional Activity

The 1st International Conference on Artificial Intelligence in Healthcare (AIiH 2024), Publication Co-Chair

The 21st BMVA Computer Vision Summer School (CVSS), Local Organiser

Talk is cheap. Show me the code.

- Linus Torvalds