Luyao Shi

According to our database, Luyao Shi authored at least 21 papers between 2014 and 2024.

Collaborative distances:

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

2024

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.

Xueqi Guo, Luyao Shi, Xiongchao Chen, Qiong Liu, Bo Zhou, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Lawrence H. Staib, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek

Medical Image Anal., 2024

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations.

Satyananda Kashyap, Niharika Shimona D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood

CoRR, 2024

CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis.

Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Xin Zhang

CoRR, 2024

Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination.

Luyao Shi, Michael A. Kazda, Bradley Sears, Nick Shropshire, Ruchir Puri

CoRR, 2024

VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation.

Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio, Charles Mackin, Apoorva Nitsure, David Beymer, Ehsan Degan

CoRR, 2024

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification.

Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization.

Prashanth Vijayaraghavan, Apoorva Nitsure, Charles Mackin, Luyao Shi, Stefano Ambrogio, Arvind Haran, Viresh Paruthi, Ali El-Zein, Dan Coops, David Beymer, Tyler Baldwin, Ehsan Degan

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Data-free Model Fusion with Generator Assistants.

Luyao Shi, Prashanth Vijayaraghavan, Ehsan Degan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.

Huidong Xie, Zhao Liu, Luyao Shi, Kathleen Greco, Xiongchao Chen, Bo Zhou, Attila Feher, John C. Stendahl, Nabil Boutagy, Tassos C. Kyriakides, Ge Wang, Albert J. Sinusas, Chi Liu

IEEE Trans. Medical Imaging, May, 2023

TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.

Xueqi Guo, Luyao Shi, Xiongchao Chen, Bo Zhou, Qiong Liu, Huidong Xie, Yi-Hwa Liu, Richard Palyo, Edward J. Miller, Albert J. Sinusas, Bruce Spottiswoode, Chi Liu, Nicha C. Dvornek

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Correlation Guided Multi-teacher Knowledge Distillation.

Luyao Shi, Ning Jiang, Jialiang Tang, Xinlei Huang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Approximate computation based on NAND-SPIN MRAM for CNN on-chip training.

Zhengyi Hou, Luyao Shi, Bi Wang, Zhaohao Wang

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation.

Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding.

Tanveer F. Syeda-Mahmood, Luyao Shi

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.

Luyao Shi, Yihuan Lu, Nicha C. Dvornek, Christopher A. Weyman, Edward J. Miller, Albert J. Sinusas, Chi Liu

IEEE Trans. Medical Imaging, 2021

Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.

Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg, Youngho Seo

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT.

Luyao Shi, Yihuan Lu, Jing Wu, Jean-Dominique Gallezot, Nabil Boutagy, Stephanie Thorn, Albert J. Sinusas, Richard E. Carson, Chi Liu

IEEE Trans. Medical Imaging, 2020

Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study.

Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.

Luyao Shi, John A. Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard E. Carson, Chi Liu, Yihuan Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2014

Artifact Suppressed Dictionary Learning for Low-Dose CT Image Processing.

Yang Chen, Luyao Shi, Qianjing Feng, Jian Yang, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux, Wufan Chen

IEEE Trans. Medical Imaging, 2014

Low-dose CT image processing using artifact suppressed dictionary learning.

Luyao Shi, Yang Chen, Huazhong Shu, Limin Luo, Christine Toumoulin, Jean-Louis Coatrieux

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014