dblp: Chenyu Gao (original) (raw)

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2020 – today

• 2026
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  [j16]
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    Jiacan Wang, Jianhua Liu, Tianci Ke, Linying Chen, Chenyu Gao:
    Fine-grained part-of-speech and hierarchical interactive contrastive learning for aspect sentiment triplet extraction. Expert Syst. Appl. 300: 130488 (2026)
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  [j15]
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    Chenyu Gao, Jianhua Liu, Jiacan Wang, Linying Chen:
    TQ-CHAFN: Triple-query cross-modal hierarchical adaptive fusion network for multimodal sentiment analysis. Knowl. Based Syst. 339: 115654 (2026)
• 2025
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  [j14]
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    Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman:
    Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. Comput. Biol. Medicine 197: 111112 (2025)
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  [j13]
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    Youqiang Dong, Min Zhang, Yu Huo, Xi Cheng, Chenyu Gao, Jingwen Wang, Hai Wang:
    Multiview Graph Neural Networks for Spectrum Sensing in Cognitive Radio. IEEE Internet Things J. 12(15): 29495-29513 (2025)
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  [j12]
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    Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher M. White, Carey E. Priebe:
    Simple Lifelong Learning Machines. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 10033-10046 (2025)
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  [j11]
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    Chenyu Gao, Ziping Zhao, Daniel P. Palomar:
    Maximum Likelihood Estimation of Gaussian and Student's $ t $ GARCH: A Unified Penalty Method. IEEE Trans. Signal Process. 73: 4840-4855 (2025)
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  [c10]
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    Chenyu Gao, Ziping Zhao:
    Beyond Jensen's Inequality: Speeding Up ML Estimation of Generalized Hyperbolic Distributions. ICASSP 2025: 1-5
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  [i16]
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    Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman:
    Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. CoRR abs/2501.18834 (2025)
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  [i15]
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    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, Fabien Maldonado, Yuankai Huo, Bennett A. Landman:
    Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels. CoRR abs/2505.22568 (2025)
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  [i14]
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    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, John Virostko:
    Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts. CoRR abs/2508.11063 (2025)
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  [i13]
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    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, Bennett A. Landman, John Virostko:
    Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging. CoRR abs/2508.14878 (2025)
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  [i12]
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    Yihao Liu, Chenyu Gao, Lianrui Zuo, Michael E. Kim, Brian D. Boyd, Lisa L. Barnes, Walter Kukull, Lori L. Beason-Held, Susan M. Resnick, Timothy J. Hohman, Warren D. Taylor, Bennett A. Landman:
    MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata. CoRR abs/2512.10041 (2025)
• 2024
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  [j10]
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    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, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer:
    DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. Neuroinformatics 22(2): 193-205 (2024)
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  [j9]
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    Song Lu, Min Zhang, Yu Huo, Chenhao Wang, Jingwen Wang, Chenyu Gao:
    SSUM: Spatial-Spectral Unified Mamba for Hyperspectral Image Classification. Remote. Sens. 16(24): 4653 (2024)
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  [c9]
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    Chenyu Gao, Federico Reuben, Tom Collins:
    Variation Transformer: New Datasets, Models, and Comparative Evaluation for Symbolic Music Variation Generation. ISMIR 2024: 154-163
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  [i11]
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    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, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li:
    Field-of-View Extension for Diffusion MRI via Deep Generative Models. CoRR abs/2405.03652 (2024)
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  [i10]
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    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, Shunxing Bao, Bennett A. Landman, Nazirah Mohd Khairi:
    Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. CoRR abs/2408.14611 (2024)
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  [i9]
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    Zhiyuan Li, 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, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman:
    Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. CoRR abs/2409.13846 (2024)
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  [i8]
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    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, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team:
    Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. CoRR abs/2409.17286 (2024)
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  [i7]
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    Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman:
    Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. CoRR abs/2410.22454 (2024)
• 2023
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  [j8]
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    Bin Dai, Chenyu Gao, Francis C. M. Lau, Yulong Zou:
    Neural Network Aided Path Splitting Strategy for Polar Successive Cancellation List Decoding. IEEE Trans. Veh. Technol. 72(7): 9597-9601 (2023)
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  [c8]
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    Chenyu Gao, Tom Collins:
    The Pendular Graph: Visualising Hierarchical Repetitive Structure in Point-Set Representations of the POP909 Music Dataset. HCI (50) 2023: 3-16
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  [c7]
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    Chenyu Gao, Ziping Zhao, Daniel P. Palomar:
    A Novel Algorithm for GARCH Model Estimation. SSP 2023: 210-214
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  [i6]
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    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:
    Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR abs/2309.12953 (2023)
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  [i5]
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    Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman:
    Predicting Age from White Matter Diffusivity with Residual Learning. CoRR abs/2311.03500 (2023)
• 2022
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  [j7]
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    Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
    Structured Multimodal Attentions for TextVQA. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9603-9614 (2022)
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  [c6]
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    Chenyu Gao, Linghao Jin, Jerry L. Prince, Aaron Carass:
    Effects of defacing whole head MRI on neuroanalysis. Image Processing 2022
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  [d1]
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    Liu Yue, Karthik Ramadass, Michael Kim, Chenyu Gao, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Ilwoo Lyu, Bennett A. Landman:
    SLANT-TICV (Skull stripped): Generalizing deep learning brain segmentation for skull removal and intracranial measurements. Zenodo, 2022
• 2021
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  [j6]
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    Bin Dai, Chenyu Gao, Zhiyuan Yan, Rongke Liu:
    Parity Check Aided SC-Flip Decoding Algorithms for Polar Codes. IEEE Trans. Veh. Technol. 70(10): 10359-10368 (2021)
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  [c5]
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    Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu:
    Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. AAAI 2021: 3608-3615
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  [c4]
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    Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu:
    Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. IJCAI 2021: 664-670
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  [i4]
  Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu:
  Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. CoRR abs/2104.14741 (2021)
• 2020
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  [j5]
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    He Sun, Rongke Liu, Chenyu Gao:
    A Simplified Decoding Method of Polar Codes Based on Hypothesis Testing. IEEE Commun. Lett. 24(3): 530-533 (2020)
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  [j4]
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    Peng Wang, Chenyu Gao, Yang Wang, Hui Li, Ye Gao:
    MobileCount: An efficient encoder-decoder framework for real-time crowd counting. Neurocomputing 407: 292-299 (2020)
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  [i3]
  Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
  Structured Multimodal Attentions for TextVQA. CoRR abs/2006.00753 (2020)
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  [i2]
  Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu:
  Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. CoRR abs/2012.05153 (2020)

2010 – 2019

• 2019
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  [j3]
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    Chenyu Gao, Rongke Liu, Bin Dai, Xu Han:
    Path Splitting Selecting Strategy-Aided Successive Cancellation List Algorithm for Polar Codes. IEEE Commun. Lett. 23(3): 422-425 (2019)
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  [j2]
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    Bin Dai, Rongke Liu, Chenyu Gao, Zhen Mei:
    Symbol Flipping Algorithm With Self-Adjustment Strategy for LDPC Codes Over GF(q). IEEE Trans. Veh. Technol. 68(7): 7189-7193 (2019)
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  [c3]
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    Chenyu Gao, Peng Wang, Ye Gao:
    MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting. PRCV (2) 2019: 582-595
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  [i1]
  Junyu Gao, Wei Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen:
  C^3 Framework: An Open-source PyTorch Code for Crowd Counting. CoRR abs/1907.02724 (2019)
• 2018
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  [j1]
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    Bin Dai, Rongke Liu, Chenyu Gao, Zhen Mei:
    Noisy Gradient Descent Bit-Flipping Decoder Based on Adjustment Factor for LDPC Codes. IEEE Commun. Lett. 22(6): 1152-1155 (2018)
• 2017
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  [c2]
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    Chenyu Gao, Rongke Liu, Bin Dai:
    Gradient descent bit-flipping based on penalty factor for decoding LDPC codes over symmetric alpha-stable noise channels. ICCC 2017: 1-4

2000 – 2009

• 2008
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  [c1]
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    Ted Shaneyfelt, Sevki S. Erdogan, Azim Maredia, Gnanadeep Vemuri, Bhargavaram Pachala, Dong Yue, Sohel Karovalia, Mingzhu Lu, Shi-zhong Yang, Chenyu Gao:
    Towards net-centric system of systems robotics in air, sea and land. SoSE 2008: 1-6

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