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ORCIDYingnan Zhao
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2020 – today
- 2024
[i7]Siyuan Li, Shijie Han, Yingnan Zhao, By Liang, Peng Liu:
Auxiliary Reward Generation with Transition Distance Representation Learning. CoRR abs/2402.07412 (2024)- [i6]Siyuan Li, Rongchang Zuo, Peng Liu, Yingnan Zhao:
An Imitative Reinforcement Learning Framework for Autonomous Dogfight. CoRR abs/2406.11562 (2024) - 2023
- [j14]Qingan Da, Guoyin Zhang, Wenshan Wang, Yingnan Zhao, Dan Lu, Sizhao Li
, Dapeng Lang:
Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification. Entropy 25(9): 1306 (2023) - [j13]Jielin Jiang, Xiangming Hong, Yingnan Zhao, Xiaonglong Xu, Yan Cui:
SDAUNet: A simple dual attention mechanism UNet for mixed noise removal. IET Image Process. 17(13): 3884-3896 (2023) - [j12]Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang:
Variational Diversity Maximization for Hierarchical Skill Discovery. Neural Process. Lett. 55(1): 839-855 (2023) - [j11]Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang:
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4776-4790 (2023) - [c17]Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu:
UEBCS: Software Development Technology Based on Component Selection. GPC (1) 2023: 3-13 - [c16]Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han:
Review of Deep Learning-Based Entity Alignment Methods. GPC (1) 2023: 61-71 - [c15]Dan Lu, Siao Li, Yingnan Zhao, Qilong Han:
Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis. GPC (1) 2023: 88-100 - [c14]Yingnan Zhao, Yang Sun, Bin Fan, Dan Lu:
Research on Script-Based Software Component Development. GPC (1) 2023: 101-112 - [c13]Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong:
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. ECML/PKDD (5) 2023: 36-51 - 2022
- [j10]Yingnan Zhao, Guanlan Ji, Fei Chen, Peiyuan Ji, Yi Cao:
Spatio-Temporal Wind Speed Prediction Based on Variational Mode Decomposition. Comput. Syst. Sci. Eng. 43(2): 719-735 (2022) - [j9]Yanman Li, Jun Zhang, Yang Hu, Yingnan Zhao, Yi Cao:
Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5. Comput. Syst. Sci. Eng. 43(3): 1219-1230 (2022) - [c12]Yingnan Zhao, Ke Wang, Ahmed Louri:
FSA: An Efficient Fault-tolerant Systolic Array-based DNN Accelerator Architecture. ICCD 2022: 545-552 - [i5]Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. CoRR abs/2202.00769 (2022) - 2021
- [j8]Jingcheng Qian, Mingfang Zhu, Yingnan Zhao, Xiangjian He:
Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM. Comput. Syst. Sci. Eng. 39(2): 197-209 (2021) - [c11]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS 2021: 3732-3743 - [i4]Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong:
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. CoRR abs/2109.08776 (2021) - [i3]Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong:
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm. CoRR abs/2110.03155 (2021) - [i2]Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong:
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR abs/2110.08896 (2021) - 2020
- [j7]Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu:
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). 计算机科学 47(3): 182-191 (2020) - [j6]Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang:
Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. 194: 105511 (2020) - [j5]Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang:
Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. 203: 106140 (2020) - [c10]Yingnan Zhao, Jie Wu:
General Virtual Images Construction Using Pixel Scrambling for Face Recognition. ICAIS (1) 2020: 444-454 - [i1]Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao:
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR abs/2010.08755 (2020)
2010 – 2019
- 2019
- [j4]Peng Liu, Yingnan Zhao, Wei Zhao, Xianglong Tang, Zichan Yang:
An exploratory rollout policy for imagination-augmented agents. Appl. Intell. 49(10): 3749-3764 (2019) - [j3]Yingnan Zhao, Peijian Song, Fan Feng:
What are the revenue implications of mobile channel visits? Evidence from the online travel agency industry. Electron. Commer. Res. Appl. 36 (2019) - 2018
- [c9]Qi Li, Quansheng Wang, Peijian Song, Yingnan Zhao:
Empirical view of interactions between reselling and agency selling in platform-based retailing. PACIS 2018: 107 - [c8]Yingnan Zhao, Quansheng Wang, Peijian Song, Qi Li:
Quantifying the Effect of Mobile Channel Visits on Firm Revenue. PACIS 2018: 108 - [c7]Yingnan Zhao, Quansheng Wang, Peijian Song, Fan Feng:
Quantifying the Effect of Mobile Channel Visits on Firm Revenue. WHICEB 2018: 56 - 2016
- [c6]Yingnan Zhao, Xiangjian He, Beijing Chen:
Virtual Samples Construction Using Image-Block-Stretching for Face Recognition. ADC 2016: 346-354 - 2015
- [c5]Yingnan Zhao, Xiangjian He, Beijing Chen, Xiaoping Zhao:
Integrating Simplified Inverse Representation and CRC for Face Recognition. MIWAI 2015: 171-183 - 2010
- [j2]Yong Xu, Fengxi Song, Ge Feng, Yingnan Zhao:
A novel local preserving projection scheme for use with face recognition. Expert Syst. Appl. 37(9): 6718-6721 (2010) - [c4]Yingnan Zhao, Yan Ma, Zhong Jin:
Mirror-Like Gabor Features for Face Recognition under Varying Illumination Conditions. IIH-MSP 2010: 555-558
2000 – 2009
- 2009
- [j1]Yong Xu, Ge Feng, Yingnan Zhao:
One improvement to two-dimensional locality preserving projection method for use with face recognition. Neurocomputing 73(1-3): 245-249 (2009) - 2008
- [c3]Rui Ma, Yingnan Zhao, Yongquan Xia, Yunyang Yan:
A Touching Pattern-Oriented Strategy for Handwritten Digits Segmentation. CIS (1) 2008: 174-179 - 2006
- [c2]Yong Xu, Yingnan Zhao:
Comparison Study on SVD-Based Face Classification. IIH-MSP 2006: 343-346 - 2004
- [c1]Yingnan Zhao, Jingyu Yang:
Weighted features for infrared vehicle verification based on Gabor filters. ICARCV 2004: 671-675
Coauthor Index
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