Cho‐Jui Hsieh
Google (United States)(US)University of California, Los Angeles(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Topic Modeling, Anomaly Detection Techniques and Applications
Most-Cited Works
- LIBLINEAR: A Library for Large Linear Classification(2008)
- → ZOO(2017)1,710 cited
- → VisualBERT: A Simple and Performant Baseline for Vision and Language(2019)1,231 cited
- → Cluster-GCN(2019)1,180 cited
- → A dual coordinate descent method for large-scale linear SVM(2008)913 cited
- → EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples(2018)578 cited
- Training and Testing Low-degree Polynomial Data Mappings via Linear SVM(2010)
- Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent(2017)
- →