Towards net-centric system of systems robotics in air, sea and land. - Ted Shaneyfelt; Sevki S. Erdogan; Azim Maredia; Gnanadeep Vemuri; Bhargavaram Pachala; Dong Yue 002; Sohel Karovalia; Mingzhu Lu; Shi-zhong Yang; Chenyu Gao (SoSE, 2008)

Gradient descent bit-flipping based on penalty factor for decoding LDPC codes over symmetric alpha-stable noise channels. - Chenyu Gao; Rongke Liu; Bin Dai 004 (ICCC, 2017)

Noisy Gradient Descent Bit-Flipping Decoder Based on Adjustment Factor for LDPC Codes. - Bin Dai 004; Rongke Liu; Chenyu Gao; Zhen Mei (IEEE Commun. Lett., 2018)

MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting. - Chenyu Gao; Peng Wang 015; Ye Gao (PRCV (2), 2019)

C^3 Framework: An Open-source PyTorch Code for Crowd Counting. - Junyu Gao 001; Wei Lin 018; Bin Zhao 001; Dong Wang 028; Chenyu Gao; Jun Wen (CoRR, 2019)

Path Splitting Selecting Strategy-Aided Successive Cancellation List Algorithm for Polar Codes. - Chenyu Gao; Rongke Liu; Bin Dai 004; Xu Han (IEEE Commun. Lett., 2019)

Symbol Flipping Algorithm With Self-Adjustment Strategy for LDPC Codes Over GF(q). - Bin Dai 004; Rongke Liu; Chenyu Gao; Zhen Mei (IEEE Trans. Veh. Technol., 2019)

A Simplified Decoding Method of Polar Codes Based on Hypothesis Testing. - He Sun 008; Rongke Liu; Chenyu Gao (IEEE Commun. Lett., 2020)

MobileCount: An efficient encoder-decoder framework for real-time crowd counting. - Peng Wang 015; Chenyu Gao; Yang Wang 098; Hui Li 031; Ye Gao (Neurocomputing, 2020)

Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. - Qi Zhu; Chenyu Gao; Peng Wang 015; Qi Wu 001 (AAAI, 2021)

Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. - Chenyu Gao; Qi Zhu; Peng Wang 015; Qi Wu 001 (IJCAI, 2021)

Parity Check Aided SC-Flip Decoding Algorithms for Polar Codes. - Bin Dai 004; Chenyu Gao; Zhiyuan Yan 001; Rongke Liu (IEEE Trans. Veh. Technol., 2021)

Effects of defacing whole head MRI on neuroanalysis. - Chenyu Gao; Linghao Jin; Jerry L. Prince; Aaron Carass (Image Processing, 2022)

Structured Multimodal Attentions for TextVQA. - Chenyu Gao; Qi Zhu; Peng Wang 015; Hui Li 031; Yuliang Liu; Anton van den Hengel; Qi Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

The Pendular Graph: Visualising Hierarchical Repetitive Structure in Point-Set Representations of the POP909 Music Dataset. - Chenyu Gao; Tom Collins (HCI (50), 2023)

A Novel Algorithm for GARCH Model Estimation. - Chenyu Gao; Ziping Zhao 002; Daniel P. Palomar (SSP, 2023)

Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. - Aravind R. Krishnan; Kaiwen Xu; Thomas Z. Li; Chenyu Gao; Lucas W. Remedios; Praitayini Kanakaraj; Ho Hin Lee; Shunxing Bao; Kim L. Sandler; Fabien Maldonado; Ivana Isgum; Bennett A. Landman (CoRR, 2023)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

Neural Network Aided Path Splitting Strategy for Polar Successive Cancellation List Decoding. - Bin Dai 004; Chenyu Gao; Francis C. M. Lau 002; Yulong Zou (IEEE Trans. Veh. Technol., 2023)

Variation Transformer: New Datasets, Models, and Comparative Evaluation for Symbolic Music Variation Generation. - Chenyu Gao; Federico Reuben; Tom Collins (ISMIR, 2024)

Field-of-View Extension for Diffusion MRI via Deep Generative Models. - Chenyu Gao; Shunxing Bao; Michael E. Kim; Nancy Newlin; Praitayini Kanakaraj; Tianyuan Yao; Gaurav Rudravaram; Yuankai Huo; Daniel Moyer; Kurt Schilling; Walter Kukull; Arthur W. Toga; et al. (CoRR, 2024)

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. - Michael E. Kim; Karthik Ramadass; Chenyu Gao; Praitayini Kanakaraj; Nancy R. Newlin; Gaurav Rudravaram; Kurt G. Schilling; Blake E. Dewey; Derek B. Archer; Timothy J. Hohman; Zhiyuan Li 012; Shunxing Bao; et al. (CoRR, 2024)

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. - Zhiyuan Li 012; Tianyuan Yao; Praitayini Kanakaraj; Chenyu Gao; Shunxing Bao; Lianrui Zuo; Michael E. Kim; Nancy R. Newlin; Gaurav Rudravaram; Nazirah Mohd Khairi; Yuankai Huo; Kurt G. Schilling; et al. (CoRR, 2024)

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. - Michael E. Kim; Chenyu Gao; Karthik Ramadass; Praitayini Kanakaraj; Nancy R. Newlin; Gaurav Rudravaram; Kurt G. Schilling; Blake E. Dewey; David A. Bennett; Sid OBryant; Robert C. Barber; Derek B. Archer; et al. (CoRR, 2024)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)

SSUM: Spatial-Spectral Unified Mamba for Hyperspectral Image Classification. - Song Lu; Min Zhang 015; Yu Huo; Chenhao Wang; Jingwen Wang; Chenyu Gao (Remote. Sens., 2024)

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. - Praitayini Kanakaraj; Tianyuan Yao; Leon Y. Cai; Ho Hin Lee; Nancy R. Newlin; Michael E. Kim; Chenyu Gao; Kimberly R. Pechman; Derek B. Archer; Timothy J. Hohman; Angela L. Jefferson; Lori L. Beason-Held; et al. (Neuroinformatics, 2024)

Beyond Jensen's Inequality: Speeding Up ML Estimation of Generalized Hyperbolic Distributions. - Chenyu Gao; Ziping Zhao 002 (ICASSP, 2025)

Multiview Graph Neural Networks for Spectrum Sensing in Cognitive Radio. - Youqiang Dong; Min Zhang 015; Yu Huo; Xi Cheng; Chenyu Gao; Jingwen Wang; Hai Wang 015 (IEEE Internet Things J., 2025)

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. - Chenyu Gao; Kaiwen Xu; Michael E. Kim; Lianrui Zuo; Zhiyuan Li 012; Derek B. Archer; Timothy J. Hohman; Ann Zenobia Moore; Luigi Ferrucci; Lori L. Beason-Held; Susan M. Resnick; Christos Davatzikos; et al. (CoRR, 2025)

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. - Aravind R. Krishnan; Thomas Z. Li; Lucas W. Remedios; Michael E. Kim; Chenyu Gao; Gaurav Rudravaram; Elyssa M. McMaster; Adam M. Saunders; Shunxing Bao; Kaiwen Xu; Lianrui Zuo; Kim L. Sandler; et al. (CoRR, 2025)

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts. - Lucas W. Remedios; Chloe Cho; Trent M. Schwartz; Dingjie Su; Gaurav Rudravaram; Chenyu Gao; Aravind R. Krishnan; Adam M. Saunders; Michael E. Kim; Shunxing Bao; Alvin C. Powers; Bennett A. Landman; et al. (CoRR, 2025)

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. - Lucas W. Remedios; Chloe Cho; Trent M. Schwartz; Dingjie Su; Gaurav Rudravaram; Chenyu Gao; Aravind R. Krishnan; Adam M. Saunders; Michael E. Kim; Shunxing Bao; Thomas A. Lasko; Alvin C. Powers; et al. (CoRR, 2025)