Yingnan Zhao

35 papers A* 2C 1Misc 1Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model.
J. Imaging Inform. Medicine
Yi Li, Yingnan Zhao, Ping Yang, Caihong Li, Liu Liu, Xiaofang Zhao, Huali Tang, Yun Mao
2025 J jnl
An optimized exact multi-target search algorithm.
Quantum Inf. Process.
Shijin Zhong, Yingnan Zhao, Guangzhen Dai, Daohua Wu
2025 J jnl
CAgMLP: An MLP-like architecture with a Cross-Axis gated token mixer for image classification.
J. Vis. Commun. Image Represent.
Jielin Jiang, Quan Zhang, Yan Cui, Shun Wei, Yingnan Zhao
2025 J jnl
Dsrn-svmamba: a dual-stream recursive network base on SVMamba for scene text recognition.
J. Supercomput.
Yingnan Zhao, Fangqi Ding, Dewen Zhang, Zuguo Yang, Jielin Jiang
2025 J jnl
GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba.
Complex Intell. Syst.
Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu
2025 — conf
MSC-TFN: Multi-Scale Convolutional and Transformer Fusion Network for Breast Tumor Classification in Ultrasound Images.
BIBM
Dan Lu, Yanchen Xu, Yingnan Zhao, Hongyang Zhao, Yi Lin
2025 J jnl
Starnet-tex: lightweight real-time text detection via middle-order enhanced contextual attention.
Complex Intell. Syst.
Zheng Hu, Yingnan Zhao, Zuguo Yang, Jielin Jiang, Xiaolong Xu
2024 A* conf
Distributional Reinforcement Learning with Regularized Wasserstein Loss.
NeurIPS
Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong
2024 — conf
RPF-ELD: Regional Prior Fusion using Early and Late Distillation for Breast Cancer Recognition in Ultrasound Images.
BIBM
Haosen Wang, Gengyuan Zhang, Yingnan Zhao, Fang Lai, Wenwei Cui, Jiexiao Xue, Qihang Wang, Hao Zhang, Yi Lin
2024 J jnl
Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network.
Comput. Mater. Continua
Yingnan Zhao, Yuyuan Ruan, Zhen Peng
2023 J jnl
Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification.
Entropy
Qingan Da, Guoyin Zhang, Wenshan Wang, Yingnan Zhao, Dan Lu, Sizhao Li, Dapeng Lang
2023 — conf
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations.
ECML/PKDD (5)
Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong
2023 — conf
Research on Script-Based Software Component Development.
GPC (1)
Yingnan Zhao, Yang Sun, Bin Fan, Dan Lu
2023 J jnl
SDAUNet: A simple dual attention mechanism UNet for mixed noise removal.
IET Image Process.
Jielin Jiang, Xiangming Hong, Yingnan Zhao, Xiaonglong Xu, Yan Cui
2022 J jnl
Distributional Reinforcement Learning via Sinkhorn Iterations.
CoRR
Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong
2022 J jnl
Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5.
Comput. Syst. Sci. Eng.
Yanman Li, Jun Zhang, Yang Hu, Yingnan Zhao, Yi Cao
2022 J jnl
Spatio-Temporal Wind Speed Prediction Based on Variational Mode Decomposition.
Comput. Syst. Sci. Eng.
Yingnan Zhao, Guanlan Ji, Fei Chen, Peiyuan Ji, Yi Cao
2022 J jnl
Spatio-temporal Model Combining VMD and AM for Wind Speed Prediction.
Intell. Autom. Soft Comput.
Yingnan Zhao, Peiyuan Ji, Fei Chen, Guanlan Ji, Sunil Kumar Jha
2021 A* conf
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
NeurIPS
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
2021 J jnl
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
CoRR
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
2021 J jnl
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.
CoRR
Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong
2021 J jnl
Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM.
Comput. Syst. Sci. Eng.
Jingcheng Qian, Mingfang Zhu, Yingnan Zhao, Xiangjian He
2021 J jnl
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR
Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong
2020 — conf
General Virtual Images Construction Using Pixel Scrambling for Face Recognition.
ICAIS (1)
Yingnan Zhao, Jie Wu
2016 Misc conf
Virtual Samples Construction Using Image-Block-Stretching for Face Recognition.
ADC
Yingnan Zhao, Xiangjian He, Beijing Chen
2015 — conf
Integrating Simplified Inverse Representation and CRC for Face Recognition.
MIWAI
Yingnan Zhao, Xiangjian He, Beijing Chen, Xiaoping Zhao
2011 — conf
Center Point Detection of Fingerprint Based on Direction Mean Value Difference.
ICAIC (2)
Shuiping Wang, Xiaofang Pei, Lingzhi Liao, Yingnan Zhao
2010 J jnl
A novel local preserving projection scheme for use with face recognition.
Expert Syst. Appl.
Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao
2010 — conf
Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions.
IIH-MSP
Yingnan Zhao, Yan Ma, Zhong Jin
2009 J jnl
One improvement to two-dimensional locality preserving projection method for use with face recognition.
Neurocomputing
Yong Xu, Ge Feng, Yingnan Zhao
2008 — conf
A Touching Pattern-Oriented Strategy for Handwritten Digits Segmentation.
CIS (1)
Rui Ma, Yingnan Zhao, Yongquan Xia, Yunyang Yan
2006 — conf
Comparison Study on SVD-Based Face Classification.
IIH-MSP
Yong Xu, Yingnan Zhao
2004 — conf
An Improved Vehicle Classification Method Based on Gabor Features.
IIP
Yingnan Zhao, Zhengdong Liu, Jing-Yu Yang
2004 — conf
Fast Stereo Matching Method Using Edge Traction.
IIP
Zhengdong Liu, Yingnan Zhao, Jing-Yu Yang
2004 C conf
Weighted features for infrared vehicle verification based on Gabor filters.
ICARCV
Yingnan Zhao, Jingyu Yang