people
members of the lab or group
555 your office number
123 your address street
Your City, State 12345
layout: about title: about permalink: /
subtitle: Affiliations. Address. Contacts. Moto. Etc.
profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Berkeley, CA, United States</p> yixiaoh@berkeley.edu news: true # includes a list of news items latest_posts: false # includes a list of the newest posts selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —
I’m Yixiao HUANG (Chinese name: 黄一笑) and I’m a second-year PhD student at UC Berkeley EECS supervised by Prof. Somayeh Sojoudi. I also work closely with Prof. Song Mei. I’m interested in establishing the theoretical foundations for generative models to enhance their efficiency and reliability.
I received my Bachelor’s degree in Informaton Engineering in June, 2023 from Department of Electrical Engineering, City University of Hong Kong. I was fortunate to work with Prof. Rosa CHAN who patiently guided me to start my research adventure. I also had a great time at University of Michigan, working with Prof. Samet Oymak on the theoretical foundations of self-attention and hybrid models.
555 your office number
123 your address street
Your City, State 12345
layout: about title: about permalink: /
subtitle: Affiliations. Address. Contacts. Moto. Etc.
profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Berkeley, CA, United States</p> yixiaoh@berkeley.edu news: true # includes a list of news items latest_posts: false # includes a list of the newest posts selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —
I’m Yixiao HUANG (Chinese name: 黄一笑) and I’m a second-year PhD student at UC Berkeley EECS supervised by Prof. Somayeh Sojoudi. I also work closely with Prof. Song Mei. I’m interested in establishing the theoretical foundations for generative models to enhance their efficiency and reliability.
I received my Bachelor’s degree in Informaton Engineering in June, 2023 from Department of Electrical Engineering, City University of Hong Kong. I was fortunate to work with Prof. Rosa CHAN who patiently guided me to start my research adventure. I also had a great time at University of Michigan, working with Prof. Samet Oymak on the theoretical foundations of self-attention and hybrid models.