Quanquan Peng

I am Quanquan Peng (彭泉泉), a third-year undergraduate from ACM Honors Class, Shanghai Jiao Tong University (SJTU), majoring in Computer Science.

Currently, I am fortunate to work with Prof. Siddhartha Srinivasa at the Personal Robotics Lab as a research intern.

During my junior year, I am a member of Machine Vision and Intelligence Group (MVIG) coadvised by Prof. Cewu Lu and Prof. Yonglu Li.

My research interests include, but are not limited to, Robotics, Reinforcement/Imitation Learning, and Computer Vision.

Selected Projects

GH-NeRF | Outstanding course project of Machine Learning

A NeRF-like model that uses multivariate Gaussian Distribution along with Spherical Harmonics accelerates the training process and effectively tackles the excessively blurring/alias problems.

A handmade compiler translating Mx* language (which is a C++ and Java like language) into RV32I Assembly. Designed based on LLVM IR, it achieved a performance close to GCC O2 on test cases with many optimizations.

A RISC-V CPU implemented in Verilog HDL, using Tomasulo algorithm for dynamic scheduling. The hand-made CPU can be deployed on an FPGA board.