3 papers
cs.CV2026
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
Wenda Chu, Bingliang Zhang, Jiaqi Han +4
Autoregressive image modeling relies on visual tokenizers to compress images into compact latent representations. We design an end-to-end training pipeline that jointly optimizes r…
cs.LG2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
Zijian Huang, Wenda Chu, Linyi Li +2
Multi-sensor fusion systems (MSFs) play a vital role as the perception module in modern autonomous vehicles (AVs). Therefore, ensuring their robustness against common and realistic…
cs.DC2022
Distributed Robust Principal Component Analysis
Wenda Chu
We study the robust principal component analysis (RPCA) problem in a distributed setting. The goal of RPCA is to find an underlying low-rank estimation for a raw data matrix when t…