About Yazhou
I am a senior student majoring in BME and CS at the University of Hong Kong. In 2023, I spent a year at the Redwood Theoretical Neuroscience Center at UC Berkeley. This fall, I will be a PhD student at NYU, focusing on pain-related computational neuroscience. (How to pronounce “Yazhou”(雅洲): like “Ya-Jo”)
I am deeply passionate about understanding how the brain works. My research interests include perception, memory and the mechanism of neural disorders. I am happy to chat about my ongoing projects on attention modeling, cone mosaic arrangement, and attractor networks. Previously, I worked on EEG decoding for face recognition and MRI analysis for clinical applications.
If you are a potential collaborator with similar interests, feel free to email me at yazhou.laugh@gmail.com. I am open to discussing my current projects or exploring potential cooperation.
For more information, check out my CV here.
News
- Oral presentation at VSS 2024 in Tampa, USA, 2024.
- Oral presentation at SfN 2023, in Washington DC, USA, 2023.
- Poster presentation at EMBC 2023, in Sydney, Australia, 2023.
Publications & Conference Presentations
Yazhou Zhao, Zeyu Yun, Ruichang Sun and Dasheng Bi. “Natural retinal cone distributions emerge from optical and neural limits to vision”. The 24th Annual Meeting of Vision Science Society (VSS 2024). Talk presentation.
Yazhou Zhao and Guoyang Liu. “Epileptic EEG Classification Using Time-Frequency Representation and Deep Neural Network”. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023).
Yazhou Zhao and Guoyang Liu. “Comparison of time-frequency representations for deep learning-based epileptic EEG classification”. Nanosymposium presentation. Neuroscience 2023 (SfN 2023).
Guoyang Liu, Yueyuan Zheng, Michelle TSANG, Yazhou Zhao and Janet Hsiao. “How perceptual strategies modulate neural representation in face recognition?”. NeuroImage. Under review.
More
For undergraduates interested in neural-related research, please don’t hesitate to reach out. I am excited to meet new people from diverse backgrounds, share my experiences, and potentially start a mentorship.
Previous Projects
Face recognition and EEG decoding, Prof. Janet Hsiao;
Seizure detection, Dr. Guoyang Liu;
📍 Dept. of Psyc., University of Hong Kong, Hong Kong.
Contrastive learning for ADHD identification, Dr. Xinyu Li,
📍 Dept. of ECE, University of Alberta, Canada.
Biosensor and neuromorphic computing, Dr. Shiming Zhang,
📍 Dept. of EEE & BME., University of Hong Kong, Hong Kong.
MRI analysis for neuromodulation outcome prediction, Prof. Bingsheng Huang,
📍 Dept. of BME, Shenzhen University, China.