Morris Huang

Research Assistant @ National Center for Theoretical Sciences

morris_head.jpg

Hey, my name is Morris Huang (黃禹超 in Chinese). I have recently graduated with a Master’s in Physics under the guidance of Prof. Hsi-Sheng Goan at National Taiwan University. I am currently working as research assistant at National Center for Theoretical Sciences. My research interest lies in the intersection of machine learnin and computation. I have experience in machine learning, parallel computing, particle-in-cell simulation, quantum opitmization, quatnum machine learning, and molecular dynamics.

I am passionate about interdisciplinary research at the intersection of quantum computing and machine learning. My work focuses on applying machine learning techniques to quantum computers with theoretical guarantees, aiming to develop novel algorithms to enhance quantum computation efficiency and effectiveness. I am also a prospective Ph.D. applicant for fall 2024.

Demo - Two Stream Instability

Beam Width ( \(1 / V_b \) )

The phenomenon of the two-stream instability occurs where plasma flows are moving in opposite directions. This instability arises from the transfer of energy between particles in the plasma and EM wave, leading to the exponential growth of certain wave modes, described by the dispersion relation. \[ 1 = \dfrac{\omega_p^2/2}{(\omega+\omega_D)^2} + \dfrac{\omega_p^2/2}{(\omega-\omega_D)^2}. \] (See blog post for more detail :smile:)

selected publications

  1. EMNLP
    Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
    Yu-Min Tseng*, Yu-Chao Huang*, Teng-Yun Hsiao*, and 4 more authors
    Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
    * These authors contributed equally to this work
  2. ICML
    BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
    Chenwei Xu*, Yu-Chao Huang*, Jerry Yao-Chieh Hu*, and 4 more authors
    International Conference on Machine Learning (ICML), 2024
    * These authors contributed equally to this work
  3. arXiv
    L2O-g†: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor
    Yu-Chao Huang, and Hsi-Sheng Goan
    arXiv preprint arXiv:2407.14761, 2024