Shengyun Peng

According to our database, Shengyun Peng authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Differentiable Rendering Powered End-to-End Adversarial Attack Evaluation.

Mansi Phute, Matthew Hull, Haoran Wang, Alec Helbling, Sheng-Yun Peng, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks.

Mansi Phute, Matthew Hull, Haoran Wang, Alec Helbling, Shengyun Peng, Willian T. Lunardi, Martin Andreoni, Wenke Lee, Duen Horng Chau

CoRR, October, 2025

Large Reasoning Models Learn Better Alignment from Flawed Thinking.

Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi

CoRR, October, 2025

Shape it Up! Restoring LLM Safety during Finetuning.

Shengyun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CompCap: Improving Multimodal Large Language Models with Composite Captions.

Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, Shengyun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety.

Seongmin Lee, Aeree Cho, Grace C. Kim, Shengyun Peng, Mansi Phute, Duen Horng Chau

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Inference Compute-Optimal Video Vision Language Models.

Peiqi Wang, Shengyun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM Attributor: Interactive Visual Attribution for LLM Generation.

Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Non-Robust Features are Not Always Useful in One-Class Classification.

Matthew Lau, Haoran Wang, Alec Helbling, Matthew Hull, Shengyun Peng, Martin Andreoni, Willian T. Lunardi, Wenke Lee

CoRR, 2024

UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Self-Supervised Pre-Training for Table Structure Recognition Transformer.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau

Proceedings of the IEEE Visualization and Visual Analytics, 2024

Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.

Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Interactive Visual Learning for Stable Diffusion.

Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

High-Performance Transformers for Table Structure Recognition Need Early Convolutions.

Shengyun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

CoRR, 2023

RobArch: Designing Robust Architectures against Adversarial Attacks.

Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin

CoRR, 2023

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs.

Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets.

Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau

CoRR, 2022

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning.

Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors.

Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

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 Process. Image Commun., 2020

Anti-occlusion object tracking based on correlation filter.

Jun Liu, Gang Xiao, Xingchen Zhang, Ping Ye, Xingzhong Xiong, Shengyun Peng

Signal Image Video Process., 2020

Accurate Anchor Free Tracking.

Shengyun Peng, Yunxuan Yu, Kun Wang, Lei He

CoRR, 2020

2019

Corrections to "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

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

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

Proceedings of the 22th International Conference on Information Fusion, 2019