Zhengqi Gao

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PhD student,
Department of EECS,
Massachusetts Insitute of Technology
E-mail: zhengqi@mit.edu

About me

Hi, I am a first year PhD student at MIT EECS, advised by Prof. Duane Boning. Previously, I obtained my M.S. and B.E. from School of Microelectronics, Fudan University, where I worked closely with Prof. Jun Tao and Prof. Xin Li (Duke Univ.) in the area of computer-aided design (CAD) for conventinoal integrated circuits (ICs).

My current research interests lie mainly in design automation for photonic integrated circuits (PICs) and machine learning. For the past year, I have been very lucky to work with Dr. Ron Rohrer on the adjoint method and Prof. Hang Zhao on multimodal learning.

Check out my original solutional manual for Pattern Recognition and Machine Learning.

News

  • Nov, 2021: Coming soon: work on design automation of PICs and supervised classification with noisy labels.

  • Oct, 2021: Two works (Adjoint interpreation & Bayesian moldeing) are submitted to TCAD.

  • Jul, 2021: MKE is accepted by ICCV (see our webpage)!

  • May, 2021: Work done with Dr. Ron Rohrer is accepted in IEEE TCAD (coming soon)!

  • Apr, 2021: My new trial in the area of computer vision: see our MKE work on arxiv.

  • Mar, 2021: I am “randomly” visiting Prof. Hang Zhao's lab at Shanghai Qi Zhi Insititute (affliated with IIIS, Tsinghua Univ.).

Selected Honors & Awards

  • Outstanding Graduates of Shanghai (Top 5%), 2021.

  • National Scholarship (Top 1%), Fudan Univ., 2020.

  • Rising Star of Academia (11 out of all graduate students marjor in Science & Engineering), Fudan Univ., 2020.

  • Pacemaker to Merit Student (15 out of all graduate students), Fudan Univ., 2019.

  • National 2nd Prize (Top 15%), China Post-Graduate Maths Contest in Modeling, 2018.

  • Outstanding Undergraduates of Shanghai (Top 5%), 2018.

  • Meritorious Winner (Top 13%), American Maths Contest in Modeling, 2017.

  • National 2nd Prize (Top 15%), China Undergraduate Maths Contest in Modeling, 2016.

  • First Prize Scholarship (Top 5%), Fudan Univ., 2015, 2016, 2017, 2019.