I am a Chinese student pursuing a Ph.D. in Artificial Intelligence at Ajou University in Korea. Since September 2021, I have been working under the supervision of Prof. Wonjun Hwang. My research interests during my Ph.D. studies include neural network quantization and knowledge distillation, utilizing the Information Theoretic Learning approach for image analysis. Before this, I completed my B.E. degree in Telecommunications and an M.Sc. degree in Computer Engineering from Jeju National University in Korea in 2021. During my undergraduate studies, I received three Korean National Scholarships. And my Ph.D. research is supported by Brain Korea Ph.D. Scholarship.

1. Model Compression/Acceleration: Pruning, Low-rank Approximation, Knowledge Distillation and Neural Network Quantization.
2. Image Related Tasks: Image Classification, Diffusion model.

Also, I am fond of mountaineering 🗻 and photography 📸. I have visited several mountains in my hometown, including 'Huang Shan - 黄山', 'Zi Peng Shan - 紫蓬山', and 'Xiao Bie Shan - 小别山', all located in Anhui Province. Besides, I have been to '한라산 - 汉拿山' three times on Jeju Island in South Korea.

Jan 2024: One paper on the quantization model is submitted to the IEEE SPL journal (JCR Q2, IF: 3.105).

• Neural Networks and Deep Learning - - Andrew Ng, Kian Katanforoosh, Younes BensoudaMourri
• Machine Learning - - Andrew Ng
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization - - Andrew Ng
• Fundamentals of Reinforcement Learning - - Martha White, Adam White
• TinyML and Efficient Deep Learning - MIT 6s965-Fall 2022 open tutorial
• TinyML and Efficient Deep Learning - MIT 6.5940-Fall 2023 open tutorial

• C++, Python, TensorFlow(a little), PyTorch, Matrix.
• Web development, Android application, Web crawler, Recommendation System, QNN(quantization neural network), Computer Vision.

• English Medium Level
• Korean High Level
• Chinese Mother tongue
• My Chinese name: 徐桀

• School Email: [email protected]
• WeChat: kyen77-88_
• Office: Ajou University, Paldal Hall, 913-2 room
• 座右铭: 山景有千奇百怪，人亦同!
• To be hard work, to be smarter! (请你最好绕过此间,不然后悔不已!)