Yingnan Zhao

According to our database, Yingnan Zhao authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Imitative Reinforcement Learning Framework for Autonomous Dogfight.

Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao

CoRR, 2024

Auxiliary Reward Generation with Transition Distance Representation Learning.

Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu

CoRR, 2024

An Efficient Hardware Accelerator Design for Dynamic Graph Convolutional Network (DGCN) Inference.

Yingnan Zhao, Ke Wang, Jiaqi Yang, Ahmed Louri

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification.

Qingan Da, Guoyin Zhang, Wenshan Wang, Yingnan Zhao, Dan Lu, Sizhao Li, Dapeng Lang

Entropy, September, 2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Variational Diversity Maximization for Hierarchical Skill Discovery.

Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang

Neural Process. Lett., February, 2023

SDAUNet: A simple dual attention mechanism UNet for mixed noise removal.

Jielin Jiang, Xiangming Hong, Yingnan Zhao, Xiaonglong Xu, Yan Cui

IET Image Process., 2023

Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations.

Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Research on Script-Based Software Component Development.

Yingnan Zhao, Yang Sun, Bin Fan, Dan Lu

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

UEBCS: Software Development Technology Based on Component Selection.

Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis.

Dan Lu, Siao Li, Yingnan Zhao, Qilong Han

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

Review of Deep Learning-Based Entity Alignment Methods.

Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han

Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

2022

Spatio-Temporal Wind Speed Prediction Based on Variational Mode Decomposition.

Yingnan Zhao, Guanlan Ji, Fei Chen, Peiyuan Ji, Yi Cao

Comput. Syst. Sci. Eng., 2022

Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5.

Yanman Li, Jun Zhang, Yang Hu, Yingnan Zhao, Yi Cao

Comput. Syst. Sci. Eng., 2022

Distributional Reinforcement Learning via Sinkhorn Iterations.

Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong

CoRR, 2022

FSA: An Efficient Fault-tolerant Systolic Array-based DNN Accelerator Architecture.

Yingnan Zhao, Ke Wang, Ahmed Louri

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM.

Jingcheng Qian, Mingfang Zhu, Yingnan Zhao, Xiangjian He

Comput. Syst. Sci. Eng., 2021

Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.

Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong

CoRR, 2021

Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.

Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong

CoRR, 2021

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.

Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Obtaining accurate estimated action values in categorical distributional reinforcement learning.

Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang

Knowl. Based Syst., 2020

Generating attentive goals for prioritized hindsight reinforcement learning.

Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang

Knowl. Based Syst., 2020

深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning).

Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu

计算机科学, 2020

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao

CoRR, 2020

General Virtual Images Construction Using Pixel Scrambling for Face Recognition.

Yingnan Zhao, Jie Wu

Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020

2019

What are the revenue implications of mobile channel visits? Evidence from the online travel agency industry.

Yingnan Zhao, Peijian Song, Fan Feng

Electron. Commer. Res. Appl., 2019

An exploratory rollout policy for imagination-augmented agents.

Peng Liu, Yingnan Zhao, Wei Zhao, Xianglong Tang, Zichan Yang

Appl. Intell., 2019

2018

Quantifying the Effect of Mobile Channel Visits on Firm Revenue.

Yingnan Zhao, Quansheng Wang, Peijian Song, Fan Feng

Proceedings of the 17th Wuhan International Conference on E-Business, 2018

Quantifying the Effect of Mobile Channel Visits on Firm Revenue.

Yingnan Zhao, Quansheng Wang, Peijian Song, Qi Li

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Empirical view of interactions between reselling and agency selling in platform-based retailing.

Qi Li, Quansheng Wang, Peijian Song, Yingnan Zhao

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

2016

Virtual Samples Construction Using Image-Block-Stretching for Face Recognition.

Yingnan Zhao, Xiangjian He, Beijing Chen

Proceedings of the Databases Theory and Applications, 2016

2015

Integrating Simplified Inverse Representation and CRC for Face Recognition.

Yingnan Zhao, Xiangjian He, Beijing Chen, Xiaoping Zhao

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

2010

A novel local preserving projection scheme for use with face recognition.

Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao

Expert Syst. Appl., 2010

Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions.

Yingnan Zhao, Yan Ma, Zhong Jin

Proceedings of the Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), 2010

2009

One improvement to two-dimensional locality preserving projection method for use with face recognition.

Yong Xu, Ge Feng, Yingnan Zhao

Neurocomputing, 2009

2008

A Touching Pattern-Oriented Strategy for Handwritten Digits Segmentation.

Rui Ma, Yingnan Zhao, Yongquan Xia, Yunyang Yan

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008

2006

Comparison Study on SVD-Based Face Classification.

Yong Xu, Yingnan Zhao

Proceedings of the Second International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2006), 2006

2004

Weighted features for infrared vehicle verification based on Gabor filters.

Yingnan Zhao, Jingyu Yang

Proceedings of the 8th International Conference on Control, 2004