I am a Deep Learning euducator, researcher and engineer with over 8 years of experience in Deep 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
[12] Guran, N. B., Ren, H., Yang, Y. and Xie, X.. Scene Graph-based Spatial Reasoning with VLM for High-level Robotic Tasks. IEEE ICARM, 2025
[11] Hu, C., Ren, H., Deng, J., Xie, X., and Ma, X.. FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. IJCAI, 2025 [paper] [code]
[10] Salsi, M., Wang, Y., Hu, Y., Hu, C., Ren, H., Deng, J. and Xie, X.. Guided Latent Diffusion for Universal Medical Image Segmentation. Springer ICAIGC, 2024
[9] Yang, Y., Yueyue Hu, Ren, H., Wang, Y., Deng, J. and Xie, X.. Spatial Layout Generation via Generative Adversarial Networks. Springer ICAIGC, 2024
[8] Watson, M., Ren, H., Arvin, F. and Hu, J.. Predator-Prey Q-Learning Based Collaborative Coverage Path Planning for Swarm Robotics. Springer TAROS, 2024 [paper]
[7] Li, Y., Ren, H., Deng, J., Ma, X. and Xie, X.. Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. IEEE ISBI, 2024 [paper] [code]
[6] Ren, H., Yeqing Wang, and Huijun Ma. Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data. IECE TIS, 2024 [paper]
[5] Ren, H., Deng, J., Xie, X., Ma, X. and Yichuan Wang. FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing, 2024 [paper] [code]
[4] Xie, X., Hu, C., Ren, H. and Deng, J.. A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. Neurocomputing, 2023 [paper] [code]
[3] Hu, Y., Ren, H., Hu, C., Deng, J. and Xie, X.. An Element-Wise Weights Aggregation Method for Federated Learning. IEEE ICDMW, 2023 [paper] [code]
[2] Ren, H., Deng, J. and Xie, X.. GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. \ACM TIST, 2021 [paper] [code]
[1] Ren, H., Hu, Y., Myint, S., Hou, K., Zhang, X., Zuo, M., Zhang, C., Zhang, Q., and Li, H. A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems. WCMC, 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