Steven Cao

According to our database, Steven Cao authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

On the Entropy Calibration of Language Models.

Steven Cao, Gregory Valiant, Percy Liang

CoRR, November, 2025

Reducing interdataset covariate shift in sleep EEG of traumatic brain injured humans and mice using Transfer Euclidean Alignment.

Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao

Biomed. Signal Process. Control., 2025

Kinship Decouple and Phenotype Selection (KDPS): a tool for phenotype-aware decoupling of related subjects.

Wanjun Gu, Jiachen Xi, Steven Cao, Rany M. Salem

Briefings Bioinform., 2025

A Survey of Deep Learning for Non-Invasive Fetal Electrocardiogram Analysis.

Mobina Malekifar, Steven Cao, Khanh Phan, Khuong Vo, Fan-Gang Zeng, Hung Cao

IEEE Access, 2025

2023

Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment.

Manoj Vishwanath, Steven Cao, Nikil D. Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao

CoRR, 2023

One-sided Matrix Completion from Two Observations Per Row.

Steven Cao, Percy Liang, Gregory Valiant

Proceedings of the International Conference on Machine Learning, 2023

2022

Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo.

Yuting Shi, Steven Cao, Xu Li, Ruimin Feng, Jie Zhuang, Yuyao Zhang, Chunlei Liu, Hongjiang Wei

IEEE J. Biomed. Health Informatics, 2022

Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System.

Mohamed Benomar, Steven Cao, Manoj Vishwanath, Khuong Vo, Hung Cao

Sensors, 2022

2021

Low-Complexity Probing via Finding Subnetworks.

Steven Cao, Victor Sanh, Alexander M. Rush

CoRR, 2021

2020

Multilingual Alignment of Contextual Word Representations.

Steven Cao, Nikita Kitaev, Dan Klein

Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Parsing via Constituency Tests.

Steven Cao, Nikita Kitaev, Dan Klein

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains.

Steven Cao, Swanand Kadhe, Kannan Ramchandran

Proceedings of the IEEE International Conference on Blockchain, 2020

2019

Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction.

Hongjiang Wei, Steven Cao, Yuyao Zhang, Xiaojun Guan, Fuhua Yan, Kristen W. Yeom, Chunlei Liu

NeuroImage, 2019

Multilingual Constituency Parsing with Self-Attention and Pre-Training.

Nikita Kitaev, Steven Cao, Dan Klein

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019