ShengYun Peng


Education

Jan. 2022 — present
Ph.D. in Computer Science
Georgia Institute of Technology, Atlanta, GA
Jan. 2021 — Dec. 2022
M.S. in Computer Science
Georgia Institute of Technology, Atlanta, GA
Sept. 2015 — June 2020
B.Eng. in Civil Engineering
Tongji University, Shanghai, China
Outstanding Graduates Award of Shanghai
July 2019 — Sept. 2019
Cross-disciplinary Scholars in Science and Technology (CSST) Program
University of California, Los Angeles, Los Angeles, CA

Industry Experience

May 2024 — Dec. 2024
Meta, Menlo Park, CA
Research Scientist Intern
Feb. 2024 — present
IBM Research, Yorktown Heights, NY
Research Scientist Intern
May 2022 — Aug. 2022
Intel, Hillsboro, OR
Research Scientist Intern

Awards and Honors

2023
BMVC 2023 Best Poster Award
Only five of the accepted papers are selected for the award
2020
Outstanding Gradutes in Shanghai
For top 5% undergraduates graduating in 2020.
2017 — 2018
National Scholarship
Stipend awarded to top 2% undergraduates in all China's universities.
2017 — 2018
Tongji University Excellent Student
For top 5% undergraduates in Tongji University.
2016 — 2017
First Prize of Tongji University Scholarship of Excellence
For outstanding undergraduates in Tongji University.

Publications

UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining
ShengYun Peng, Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
NeurIPS TRL Workshop. 2024.
Project PDF Code BibTeX
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
ShengYun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
NeurIPS. 2024.
Project PDF Code BibTeX
Self-supervised Pre-training for Table Structure Recognition Transformer
ShengYun Peng, Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
AAAI SDU Workshop. 2024.
Project PDF Code BibTeX Oral
High-Performance Transformers for Table Structure Recognition Need Early Convolutions
ShengYun Peng, Seongmin Lee, Xiaojing Wang, Raji Balasubramaniyan, Duen Horng Chau
NeurIPS TRL Workshop. 2023.
Project PDF Code BibTeX Oral
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked
Mansi Phute, Alec Helbling, Matthew Hull, ShengYun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
ICLR Tiny Papers Track. 2024.
Project PDF Code BibTeX
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
ShengYun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Duen Horng Chau, Jason Martin
BMVC. 2023.
Project PDF Code Video Poster BibTeX Best Poster Award
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
IEEE Visualization Conference (VIS). 2023.
Project Demo PDF Code Recording BibTeX
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Nilaksh Das, ShengYun Peng, Duen Horng Chau
ECCV AROW Workshop. 2022.
Project PDF Code BibTeX
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors
Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, ShengYun Peng, Haekyu Park, Duen Horng Chau
CVPR Demo. 2022.
Project PDF BibTeX
A novel DNN tracking algorithm for structural system identification
ShengYun Peng, LingFeng Yan, Bin He, Ying Zhou
Smart Structures and Systems. 2021.
Project PDF Video BibTeX DOI
DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion
Xingchen Zhang, Ping Ye, ShengYun Peng, Jun Liu, Gang Xiao
Signal Processing, Image Communication. 2020.
Project PDF BibTeX DOI
Anti-occlusion object tracking based on correlation filter
Jun Liu, Gang Xiao, Xingchen Zhang, Ping Ye, Xingzhong Xiong, ShengYun Peng
Signal, Image and Video Processing. 2019.
Project PDF BibTeX DOI
SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks
Xingchen Zhang, Ping Ye, ShengYun Peng, Jun Liu, Ke Gong, Gang Xiao
IEEE Access. 2019.
Project PDF BibTeX DOI
Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks
Xingchen Zhang, Ping Ye, Dan Qiao, Junhao Zhao, ShengYun Peng, Gang Xiao
22th International Conference on Information Fusion (FUSION). 2019.
Project PDF BibTeX DOI

Service

Program Commitee
SIAM International Conference on Data Mining (SDM) 2024
Reviewer
ICLR 2025
KDD 2025
NeurIPS 2024
Scientific Reports 2023
ICCV Workshop 2023
IEEE Transactions on Cybernetics 2023
ICML Workshop 2023
Signal Processing: Image Communication 2022
SN Applied Sciences 2022
Pattern Recognition 2020
IEEE Access 2020

Mentoring

Apr. 2023 — present
Mansi Phute
M.S. in Computer Science, Georgia Institute of Technology
Aug. 2022 — May 2023
Kevin Li
B.S. in Computer Science, Georgia Institute of Technology
Now: ML Ph.D. at Carnegie Mellon University
May 2022 — May 2023
Chakravarthy RVK
M.S. in Analytics - Data Science, Georgia Institute of Technology
Oct. 2021 — May 2022
Sivapriya Vellaichamy
M.S. in Computational Data Analytics, Georgia Institute of Technology
Now: AI Research Tech - Senior Associate at JPMorgan Chase

References

Dr. Polo Chau, Associate Professor
School of Computational Science and Engineering
Georgia Institute of Technology
Dr. Lei He, Professor
School of Electrical and Computer Engineering
University of California, Los Angeles
Dr. Ying Zhou, Professor
College of Civil Engineering
Tongji University