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)

An in silico 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)

NTIRE 2022 Image Inpainting Challenge: Report. - Andrés Romero; Angela Castillo; Jose Abril-Nova; Radu Timofte; Ritwik Das; Sanchit Hira; Zhihong Pan 001; Min Zhang 030; Baopu Li; Dongliang He; Tianwei Lin; Fu Li 003; et al. (CVPR Workshops, 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 (ICDIS, 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)

AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning. - Chunnan Wang; Xingyu Chen; Chengyue Wu; Hongzhi Wang 001 (CoRR, 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)

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 002 (ICML, 2023)

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images. - Zeyu Lu; Di Huang; Lei Bai 001; Jingjing Qu; Chengyue Wu; Xihui Liu; Wanli Ouyang (NeurIPS, 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 (SC Workshops, 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., 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., 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; et al. (Patterns, 2023)

LLaMA Pro: Progressive LLaMA with Block Expansion. - Chengyue Wu; Yukang Gan; Yixiao Ge; Zeyu Lu; Jiahao Wang; Ye Feng; Ying Shan; Ping Luo 002 (ACL (1), 2024)

FiT: Flexible Vision Transformer for Diffusion Model. - Zeyu Lu; Zidong Wang 004; Di Huang; Chengyue Wu; Xihui Liu; Wanli Ouyang; Lei Bai 001 (ICML, 2024)

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation. - Zeyu Lu; Chengyue Wu; Xinyuan Chen; Yaohui Wang 001; Lei Bai 001; Yu Qiao 001; Xihui Liu (WACV, 2024)

Automatic time series forecasting model design based on pruning. - Chunnan Wang; Xingyu Chen; Chengyue Wu; Hongzhi Wang 001 (Appl. Soft Comput., 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)

Adapting LLaMA Decoder to Vision Transformer. - Jiahao Wang; Wenqi Shao; Mengzhao Chen; Chengyue Wu; Yong Liu 033; Kaipeng Zhang; Songyang Zhang; Kai Chen 026; Ping Luo 002 (CoRR, 2024)

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding. - Zhiyu Wu; Xiaokang Chen; Zizheng Pan; Xingchao Liu; Wen Liu; Damai Dai; Huazuo Gao; Yiyang Ma; Chengyue Wu; Bingxuan Wang; Zhenda Xie; Yu Wu; et al. (CoRR, 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)

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, 2024)

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. - Yiyang Ma; Xingchao Liu; Xiaokang Chen; Wen Liu; Chengyue Wu; Zhiyu Wu; Zizheng Pan; Zhenda Xie; Haowei Zhang; Xingkai Yu; Liang Zhao; Yisong Wang; et al. (CVPR, 2025)

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. - Chengyue Wu; Xiaokang Chen; Zhiyu Wu; Yiyang Ma; Xingchao Liu; Zizheng Pan; Wen Liu; Zhenda Xie; Xingkai Yu; Chong Ruan; Ping Luo 002 (CVPR, 2025)

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots. - Chengyue Wu; Zhixuan Liang; Yixiao Ge; Qiushan Guo; Zeyu Lu; Jiahao Wang; Ying Shan; Ping Luo 002 (NAACL (Findings), 2025)

MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens. - Chengyue Wu; Ernesto A. B. F. Lima; Casey E. Stowers; Zhan Xu; Clinton Yam; Jong Bum Son; Jingfei Ma; Gaiane M. Rauch; Thomas E. Yankeelov (npj Digit. Medicine, 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. - Jiahao Wang; Ning Kang 001; Lewei Yao; Mengzhao Chen; Chengyue Wu; Songyang Zhang; Shuchen Xue; Yong Liu 033; Taiqiang Wu; Xihui Liu; Kaipeng Zhang; Shifeng Zhang; et al. (CoRR, 2025)

Validating the predictions of mathematical models describing tumor growth and treatment response. - Guillermo Lorenzo; David A. Hormuth II; Chengyue Wu; Graham Pash; Anirban Chaudhuri; Ernesto A. B. F. Lima; Lois C. Okereke; Reshmi Patel; Karen Willcox; Thomas E. Yankeelov (CoRR, 2025)

Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition. - Xiaoying Zhang; Da Peng; Yipeng Zhang; Zonghao Guo; Chengyue Wu; Chi Chen 005; Wei Ke 003; Helen Meng; Maosong Sun 001 (CoRR, 2025)

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities. - Jin Wang; Yao Lai; Aoxue Li; Shifeng Zhang; Jiacheng Sun; Ning Kang 001; Chengyue Wu; Zhenguo Li; Ping Luo 002 (CoRR, 2025)

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. - Chengyue Wu; Hao Zhang 097; Shuchen Xue; Zhijian Liu; Shizhe Diao; Ligeng Zhu; Ping Luo 002; Song Han 003; Enze Xie (CoRR, 2025)

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation. - Zhuoyang Zhang; Luke J. Huang; Chengyue Wu; Shang Yang; Kelly Peng; Yao Lu 006; Song Han 003 (CoRR, 2025)

MPCC: A Novel Benchmark for Multimodal Planning with Complex Constraints in Multimodal Large Language Models. - Yiyan Ji; Haoran Chen; Qiguang Chen; Chengyue Wu; Libo Qin 001; Wanxiang Che (CoRR, 2025)