Pengfei Li

I am Pengfei Li, a third-year Ph.D. student in University of California, Riverside, under the supervision of Prof. Shaolei Ren. I obtained a M.S.E degree in Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, under the supervision of Prof. Alan Yuille and Prof. Gregory Hager.

Prior to joining JHU, I graduated from Zhejiang University with honors, majoring in Electrical Engineering. I was also a member of Advanced Class of Engineering Education(ACEE) in Chu Kochen Honor College. In summer 2017, I took part in the International Summer Research Program in UCSD under the supervision of Prof. Atanasov as a research intern.

Email / Twitter/ Github/ CV

profile photo

News
  • One paper accepted to INFOCOM 2022.
  • Passed the Ph.D. Qualificiation Exam in the CSE Department, officially a Ph.D. candidate now🥳 🥳 🥳
  • Received Student Grant from SIGMETRICS.
  • One paper accepted to SIGMETRICS 2022.

Highlighted Research

My research interests mainly focus on Nonlinear Optimization, Machine Learning and Graph Theory. Representative papers are highlighted, * indicates equal contributions.

Expert-Calibrated Learning for Online Optimization with Switching Costs
Pengfei Li*, Jianyi Yang*, Shaolei Ren
SIGMETRICS, 2022
arXiv / video / slides

EC-L2O is the first to address the "how to learn" challenge for online convex optimization, which requires new algorithm design, closed-form differentiation and theoritical analysis.

Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
He Chen*, Pengfei Guo*, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
ECCV, spotlight, 2020
paper / video / code

A novel 3D crowd human pose estimation method, which proposed a faster cross-view matching based on graphical model

Sparse Activation Maps for Interpreting 3D Object Detection
Qiuxiao Chen, Pengfei Li, Meng Xu, Xiaojun Qi.
Safe Artificial Intelligence for Automated Driving(CVPRW), Best Paper Finalist, 2021
paper / video

A technique to interpret 3D object detection results from volumetric-based networks


Archived projects
Car Pose Estimation with Context Constraints
Pengfei Li*, Weichao Qiu*, Michael Peven*, Gregory D. Hager, Alan L. Yuille
arXiv:1912.04363
paper/ video

Estimated car pose and activity based on global information (ground plane parameter) estimation. Copy real car's behavior into a game engine, UE4.

Feature Extracted DOA Estimation Algorithm Using Acoustic Array for Drone Surveillance
Xianyu Chang, Chaoqun Yang, Xiufang Shi, Pengfei Li, Zhiguo Shi, Jiming Chen
VTC-Fall, 2018
paper

Misc
Reviewer for IEEE Systems Journal
cs188 Graduate Student Instructor, CS010B Fall 2021
Graduate Student Instructor, CS010B Winter 2021
Graduate Student Instructor, CS010B Spring 2021

Visitors from the world



Template from Jon Barron,