Joseph Y. Cheng

21 papers A* 2Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment. CoRR Kundan Krishna, Joseph Y. Cheng, Charles Maalouf, Leon A. Gatys
2023	A*	`conf`	ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
2022	J	`jnl`	MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2020	J	`jnl`	Complex-Valued Convolutional Neural Networks for MRI Reconstruction. CoRR Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala
2020	J	`jnl`	Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2020	—	`conf`	Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. ISBI 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
2020	—	`conf`	Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala
2020	J	`jnl`	Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
2020	J	`jnl`	Subject-Aware Contrastive Learning for Biosignals. CoRR Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi
2019	J	`jnl`	Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. CoRR Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng
2019	J	`jnl`	Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2019	J	`jnl`	Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. CoRR Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala
2019	J	`jnl`	Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. CoRR Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura
2019	J	`jnl`	VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly
2018	J	`jnl`	Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. CoRR David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng
2018	J	`jnl`	Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. CoRR Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR 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
2017	J	`jnl`	General Phase Regularized Reconstruction using Phase Cycling. CoRR Frank Ong, Joseph Y. Cheng, Michael Lustig
2017	—	`conf`	Recurrent generative adversarial neural networks for compressive imaging. CAMSAP Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing