Chengyue Wu

According to our database, Chengyue Wu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer.

Tianwen Xie, Jing Gong, Qiufeng Zhao, Chengyue Wu, Siyu Wu, Weijun Peng, Yajia Gu

BMC Medical Imaging, December, 2024

Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.

Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov

J. Comput. Sci., 2024

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.

Chengyue Wu, Yixiao Ge, Qiushan Guo, Jiahao Wang, Zhixuan Liang, Zeyu Lu, Ying Shan, Ping Luo

CoRR, 2024

Adapting LLaMA Decoder to Vision Transformer.

Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo

CoRR, 2024

Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.

Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov

Comput. Biol. Medicine, 2024

Automatic time series forecasting model design based on pruning.

Chunnan Wang, Xingyu Chen, Chengyue Wu, Hongzhi Wang

Appl. Soft Comput., 2024

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation.

Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Lei Bai, Yu Qiao, Xihui Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FiT: Flexible Vision Transformer for Diffusion Model.

Zeyu Lu, Zidong Wang, Di Huang, Chengyue Wu, Xihui Liu, Wanli Ouyang, Lei Bai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLaMA Pro: Progressive LLaMA with Block Expansion.

Chengyue Wu, Yukang Gan, Yixiao Ge, Zeyu Lu, Jiahao Wang, Ye Feng, Ying Shan, Ping Luo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Inferring CTCF-binding patterns and anchored loops across human tissues and cell types.

Hang Xu, Xianfu Yi, Xutong Fan, Chengyue Wu, Wei Wang, Xinlei Chu, Shijie Zhang, Xiaobao Dong, Zhao Wang, Jianhua Wang, Yao Zhou, Ke Zhao, Hongcheng Yao, Nan Zheng, Junwen Wang, Yupeng Chen, Dariusz Plewczynski, Pak Chung Sham, Kexin Chen, Dandan Huang, Mulin Jun Li

Patterns, August, 2023

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.

Caleb M. Phillips, Ernesto A. B. F. Lima, Chengyue Wu, Angela M. Jarrett, Z. Zhou, N. Elshafeey, J. Ma, Greta Rauch, Thomas E. Yankeelov

J. Comput. Sci., May, 2023

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.

Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox

Frontiers Artif. Intell., February, 2023

Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma.

Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images.

Zeyu Lu, Di Huang, Lei Bai, Jingjing Qu, Chengyue Wu, Xihui Liu, Wanli Ouyang

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

π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.

Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics.

Chengyue Wu, David A. Hormuth, Guillermo Lorenzo, Angela M. Jarrett, Federico Pineda, Frederick M. Howard, Gregory S. Karczmar, Thomas E. Yankeelov

IEEE Trans. Biomed. Eng., 2022

AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning.

Chunnan Wang, Xingyu Chen, Chengyue Wu, Hongzhi Wang

CoRR, 2022

A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue.

Marvin Fritz, Tobias Köppl, J. Tinsley Oden, Andreas Wagner, Barbara I. Wohlmuth, Chengyue Wu

CoRR, 2022

Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning.

Zirui Wang, Shaoming Duan, Chengyue Wu, Wenhao Lin, Xinyu Zha, Peiyi Han, Chuanyi Liu

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

NTIRE 2022 Image Inpainting Challenge: Report.

Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

An <i>in silico</i> validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.

Chengyue Wu, David A. Hormuth II, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov

Medical Image Anal., 2021

2020

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.

Chengyue Wu, David A. Hormuth, Todd A. Oliver, Federico Pineda, Guillermo Lorenzo, Gregory S. Karczmar, Robert D. Moser, Thomas E. Yankeelov

IEEE Trans. Medical Imaging, 2020