About Me

Hi there! My name is Rong Hu (Ronnie, 胡蓉), and I am a PhD student at Hunan University, advised by Professor Wangdong Yang and Kenli Li. I am also a visiting student at the University of Cologne, collaborating with Professor Ziyue Li.

My research focuses on GPU-accelerated computing, tensor decomposition, and LLM compression to enhance efficiency in large-scale AI systems. I develop scalable algorithms for tensor-based optimization, sparse computations, and deep learning model compression.

If you’re interested in tensor methods, parallel computing, or LLM compression, feel free to reach out!

I am actively seeking a Postdoc position. If you have any information, please contact me. Thank you!

Research Interests

My current research focuses on optimizing large-scale AI models through efficient tensor computation and GPU-accelerated algorithms. I am particularly interested in LLM compression, sparse tensor methods, and scalable parallel computing to enhance the performance and efficiency of deep learning systems. Ultimately, I aim to contribute to the development of high-performance AI solutions that are both computationally efficient and widely accessible.

• Tensor Decomposition
• Parallel Computing & GPU Acceleration
• High-Performance Computing (HPC)
• Large Language Model (LLM) Compression