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ORCIDChangchun Yang
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2020 – today
- 2024
[j15]Biao Yang
, Sen Yang, Peng Wang, Hai Wang, Jiaming Jiang, Rongrong Ni, Changchun Yang:
FRPNet: An improved Faster-ResNet with PASPP for real-time semantic segmentation in the unstructured field scene. Comput. Electron. Agric. 217: 108623 (2024)- [j14]Biao Yang, Yanan Lu, Rui Wan, Hongyu Hu, Changchun Yang, Rongrong Ni:
Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks. Expert Syst. Appl. 240: 122499 (2024) - [j13]Biao Yang, Peng Wang, Miaomiao Cao, Xianlin Zhu, Suhong Wang, Rongrong Ni, Changchun Yang:
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection. IEEE Trans. Comput. Soc. Syst. 11(2): 2979-2989 (2024) - [c15]Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao:
Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling. MICCAI (11) 2024: 69-79 - [i9]Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao:
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR abs/2404.07671 (2024) - [i8]Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Xin Gao:
Improving Representation of High-frequency Components for Medical Foundation Models. CoRR abs/2407.14651 (2024) - 2023
- [j12]Jingxue Zhang, Changchun Yang:
IcaGCN: Model Intents via Coactivated Graph Convolution Network for Recommendation. IEEE Access 11: 41848-41858 (2023) - [j11]Yi Li, Changchun Yang, Tongguang Ni, Yi Zhang, Hao Liu:
Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation. IEEE Access 11: 95928-95938 (2023) - [j10]Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi, Changchun Yang:
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis. Hum. Centric Intell. Syst. 3(3): 275-295 (2023) - [c14]Jingxue Zhang, Ning Wu, Changchun Yang:
NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation. DEXA (2) 2023: 325-330 - 2022
- [j9]Yang Zhang, Xiaowen Lv, Yourong Chen, Tiaojuan Ren, Changchun Yang, Meng Han:
FAWPA: A FAW Attack Protection Algorithm Based on the Behavior of Blockchain Miners. Sensors 22(13): 5032 (2022) - [j8]Yang Zhang, Yourong Chen, Kelei Miao, Tiaojuan Ren, Changchun Yang, Meng Han:
A Novel Data-Driven Evaluation Framework for Fork after Withholding Attack in Blockchain Systems. Sensors 22(23): 9125 (2022) - [j7]Mengjie Guo, Hengrong Lan, Changchun Yang, Jiang Liu, Fei Gao:
AS-Net: Fast Photoacoustic Reconstruction With Multi-Feature Fusion From Sparse Data. IEEE Trans. Computational Imaging 8: 215-223 (2022) - [c13]Changchun Yang, Yidong Zhao, Lu Huang, Liming Xia, Qian Tao:
DisQ: Disentangling Quantitative MRI Mapping of the Heart. MICCAI (6) 2022: 291-300 - [c12]Yidong Zhao, Changchun Yang, Artur M. Schweidtmann, Qian Tao:
Efficient Bayesian Uncertainty Estimation for nnU-Net. MICCAI (8) 2022: 535-544 - [i7]Yidong Zhao, Changchun Yang, Artur M. Schweidtmann, Qian Tao:
Efficient Bayesian Uncertainty Estimation for nnU-Net. CoRR abs/2212.06278 (2022) - 2021
- [j6]Changchun Yang:
Design of Smart Home Control System Based on Wireless Voice Sensor. J. Sensors 2021: 1-11 (2021) - [c11]Jiadong Zhang, Hengrong Lan, Changchun Yang, Tengbo Lyu, Shangshan Guo, Feng Gao, Fei Gao:
Limited-View Photoacoustic Imaging Reconstruction With Dual Domain Inputs Based On Mutual Inforamtion. ISBI 2021: 1522-1526 - [i6]Mengjie Guo, Hengrong Lan, Changchun Yang, Fei Gao:
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data. CoRR abs/2101.08934 (2021) - [i5]Hengrong Lan, Juze Zhang, Changchun Yang, Fei Gao:
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network. CoRR abs/2105.14255 (2021) - 2020
- [j5]Yingchun Tian, Delin Jing, Changchun Yang, Yanxue Chen, Hongji Yang:
An Ontological Approach for Architecture Design of a Smart Tourism System-of-Systems. Int. J. Perform. Eng. 16(4): 587-598 (2020) - [j4]Delin Jing, Yingchun Tian, Chi Zhang, Changchun Yang, Hongji Yang:
Knowledge-based Semantic Reasoning for Creativity. Int. J. Perform. Eng. 16(5): 800-810 (2020) - [c10]Yaxin Ma, Changchun Yang, Juze Zhang, Yiyun Wang, Feng Gao, Fei Gao:
Human Breast Numerical Model Generation Based on Deep Learning for Photoacoustic Imaging. EMBC 2020: 1919-1922 - [d1]Hengrong Lan, Changchun Yang, Fei Gao:
HIS-RING-abdomen. IEEE DataPort, 2020
- [i4]Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao:
Deep learning for photoacoustic imaging: a survey. CoRR abs/2008.04221 (2020) - [i3]Changchun Yang, Hengrong Lan, Fei Gao:
Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs. CoRR abs/2008.06975 (2020) - [i2]Hengrong Lan, Changchun Yang, Feng Gao, Fei Gao:
Better Than Ground-truth? Beyond Supervised Learning for Photoacoustic Imaging Reconstruction. CoRR abs/2012.02472 (2020)
2010 – 2019
- 2019
- [j3]Zeliang Liu, Min Wang, Shikai Qi, Changchun Yang:
Study on the Anti-Theft Technology of Museum Cultural Relics Based on Internet of Things. IEEE Access 7: 111387-111395 (2019) - [c9]Hongtao Zhong, Yiyun Wang, Tingyang Duan, Daohuai Jiang, Changchun Yang, Fei Gao:
Multi-wavelengths Nonlinear Photoacoustic Imaging Based on Compact Laser Diode System. BioCAS 2019: 1-4 - [c8]Hengrong Lan, Kang Zhou, Changchun Yang, Jiang Liu, Shenghua Gao, Fei Gao:
Hybrid Neural Network for Photoacoustic Imaging Reconstruction. EMBC 2019: 6367-6370 - [c7]Changchun Yang, Hengrong Lan, Fei Gao:
Accelerated Photoacoustic Tomography Reconstruction via Recurrent Inference Machines. EMBC 2019: 6371-6374 - [c6]Hengrong Lan, Changchun Yang, Daohuai Jiang, Fei Gao:
Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array. EMBC 2019: 7115-7118 - [c5]Changchun Yang, Hengrong Lan, Hongtao Zhong, Fei Gao:
Quantitative Photoacoustic Blood Oxygenation Imaging Using Deep Residual And Recurrent Neural Network. ISBI 2019: 741-744 - [c4]Changchun Yang, Fei Gao:
EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast. MICCAI (1) 2019: 246-254 - [c3]Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao:
Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo. MICCAI (1) 2019: 273-281 - [i1]Hengrong Lan, Daohuai Jiang, Changchun Yang, Fei Gao:
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo. CoRR abs/1908.00975 (2019) - 2018
- [j2]Wenquan Liang, Xiu Wu, Yanfei Wang, Changchun Yang:
A simplified staggered-grid finite-difference scheme and its linear solution for the first-order acoustic wave-equation modeling. J. Comput. Phys. 374: 863-872 (2018) - 2017
- [j1]Zongwei Li, Xingyin Xiong, Xiong Liu, Kedu Han, Ning Cong, Changchun Yang:
Design of a high precision digital interface circuit for capacitive MEMS accelerometers with floating point ADC. Integr. 59: 247-254 (2017) - 2015
- [c2]Xianyun Xu, Changchun Yang, Manfeng Hu, Yongqing Yang, Li Li:
A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays. ISNN 2015: 121-128
2000 – 2009
- 2009
- [c1]Ling Zou, Suolin Duan, Zhenghua Ma, Changchun Yang:
Single-Trial Event Related Potentials Extraction by Using Independent Component Analysis. BMEI 2009: 1-5
Coauthor Index
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