Hsieh, Cho-Jui

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Chiang, W.-L., Liu, X., Si, S., Li, Y., Bengio, S., & Hsieh, C.-J. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 1,331

VisualBERT: A Simple and Performant Baseline for Vision and Language

Li, L. H., Yatskar, M., Yin, D., Hsieh, C.-J., & Chang, K.-W. (2019) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1,198

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Rao, Y., Zhao, W., Liu, B., Lu, J., Zhou, J., & Hsieh, C.-J. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 448

Symbolic Discovery of Optimization Algorithms

Chen, X., Liang, C., Huang, D., Real, E., Wang, K., Liu, Y., Pham, H., Dong, X., Luong, T., Hsieh, C.-J., et al. (2023) · arXiv

Evolutionary Algorithms and ApplicationsPolynomial and algebraic computation

Cited by 303

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Cheng, M., Le, T., Chen, P.-Y., Yi, J., Zhang, H., & Hsieh, C.-J. (2018) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 269

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Chen, X., Hsieh, C.-J., & Gong, B. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 128

Stabilizing Differentiable Architecture Search via Perturbation-based Regularization

Chen, X., & Hsieh, C.-J. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 126

On the Robustness of Self-Attentive Models

Hsieh, Y.-L., Cheng, M., Juan, D.-C., Wei, W., Hsu, W.-L., & Hsieh, C.-J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 96

Large linear classification when data cannot fit in memory

Yu, H.-F., Hsieh, C.-J., Chang, K.-W., & Lin, C.-J. (2012) · ACM Transactions on Knowledge Discovery from Data

Stochastic Gradient Optimization TechniquesText and Document Classification Technologies

Cited by 69

On the Adversarial Robustness of Vision Transformers

Shao, R., Shi, Z., Yi, J., Chen, P.-Y., & Hsieh, C.-J. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 68

Red Teaming Language Model Detectors with Language Models

Shi, Z., Wang, Y., Yin, F., Chen, X., Chang, K.-W., & Hsieh, C.-J. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 30

Watermarking Pre-trained Language Models with Backdooring

Gu, C., Huang, C., Zheng, X., Chang, K.-W., & Hsieh, C.-J. (2022) · arXiv

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 15

Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning

Liu, Y., Zhu, Z., Gong, C., Cheng, M., Hsieh, C.-J., & You, Y. (2024) · arXiv

Stochastic Gradient Optimization TechniquesTopic Modeling

Cited by 5

Efficient Non-Parametric Optimizer Search for Diverse Tasks

Wang, R., Xiong, Y., Cheng, M., & Hsieh, C.-J. (2022) · arXiv

Metaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms

Cited by 0