Joseph Y. Cheng

According to our database, Joseph Y. Cheng authored at least 22 papers between 2017 and 2023.

Collaborative distances:

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

2023

On Robustness in Multimodal Learning.

Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev

CoRR, 2023

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction.

Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robustness in Multimodal Learning under Train-Test Modality Mismatch.

Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev

Proceedings of the International Conference on Machine Learning, 2023

2022

MAEEG: Masked Auto-encoder for EEG Representation Learning.

Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng

CoRR, 2022

Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation.

Vikramjit Mitra, Hsiang-Yun Sherry Chien, Vasudha Kowtha, Joseph Yitan Cheng, Erdrin Azemi

Proceedings of the Interspeech 2022, 2022

Position Prediction as an Effective Pretraining Strategy.

Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind

Proceedings of the International Conference on Machine Learning, 2022

2020

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.

Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

IEEE Signal Process. Mag., 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.

Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala

CoRR, 2020

Subject-Aware Contrastive Learning for Biosignals.

Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi

CoRR, 2020

Complex-Valued Convolutional Neural Networks for MRI Reconstruction.

Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala

CoRR, 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.

Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges.

Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas S. Vasanawala

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly

IEEE Trans. Medical Imaging, 2019

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT.

Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng

CoRR, 2019

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model.

Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura

CoRR, 2019

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning.

Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala

CoRR, 2019

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis.

Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly

CoRR, 2019

2018

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones.

David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng

CoRR, 2018

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering.

Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala

CoRR, 2018

2017

General Phase Regularized Reconstruction using Phase Cycling.

Frank Ong, Joseph Y. Cheng, Michael Lustig

CoRR, 2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing

CoRR, 2017

Recurrent generative adversarial neural networks for compressive imaging.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017