Zhengyang Yu

According to our database, Zhengyang Yu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Simulated Cortical Magnification Supports Self-Supervised Object Learning.

Zhengyang Yu, Arthur Aubret, Chen Yu, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2025

2024

Active Gaze Behavior Boosts Self-Supervised Object Learning.

Zhengyang Yu, Arthur Aubret, Marcel C. Raabe, Jane Yang, Chen Yu, Jochen Triesch

CoRR, 2024

An improved algorithm for the column-integrated algal biomass retrieval in Lake Chaohu, a large eutrophic lake.

Zhengyang Yu, Ronghua Ma, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong

Int. J. Appl. Earth Obs. Geoinformation, 2024

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models.

Zhengyang Yu, Zhaoyuan Yang, Jing Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.

Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard Hartley

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?

Hao Shen, Zihan Li, Minqiang Yang, Minghui Ni, Yongfeng Tao, Zhengyang Yu, Weihao Zheng, Chen Xu, Bin Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration.

Zhanyu Liang, Chen Yang, Zhengyang Yu, Yinmingren Fu, Bozhen Ren, Maohuan Lin, Qingjiao Li, Xuemei Liu, Yangxin Chen, Li C. Xia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A Multimodal Hierarchical Variational Autoencoder for Saliency Detection.

Zhengyang Yu, Jing Zhang, Nick Barnes

Proceedings of the International Joint Conference on Neural Networks, 2023

Saccade Amplitude Statistics are Explained by Cortical Magnification.

Marcel C. Raabe, Francisco M. López, Zhengyang Yu, Spencer Caplan, Chen Yu, Bertram E. Shi, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2023

CRE: Circle relationship embedding of patches in vision transformer.

Zhengyang Yu, Jochen Triesch

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint.

Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker

Neurocomputing, 2022

Sequence and Circle: Exploring the Relationship Between Patches.

Zhengyang Yu, Jochen Triesch

CoRR, 2022

2021

GCPS: A CNN Performance Evaluation Criterion for Radar Signal Intrapulse Modulation Recognition.

Zhengyang Yu, Jianlong Tang, Zhao Wang

IEEE Commun. Lett., 2021

2020

Research on lane identification based on deep learning.

Chuanwei Zhang, Peilin Qin, Zhengyang Yu

J. Comput. Methods Sci. Eng., 2020

Self-supervised asymmetric deep hashing with margin-scalable constraint for image retrieval.

Zhengyang Yu, Zhihao Dou, Song Wu

CoRR, 2020

Radar Signal Intra-Pulse Modulation Recognition Based on Contour Extraction.

Zhengyang Yu, Jianlong Tang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020