Chaoran Zhang

According to our database, Chaoran Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Self-Supervised Medical Image Denoising Based on WISTA-Net for Human Healthcare in Metaverse.

Huakun Huang, Chaoran Zhang, Lingjun Zhao, Shuxue Ding, Hanpin Wang, Huijun Wu

IEEE J. Biomed. Health Informatics, November, 2024

A Deep Learning Approach for Single-Cell Perturbation Prediction Using Small Molecule Chemical Structures.

Chaoran Zhang, Feifan Bi, Junyao Zhang, Guo Chen

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Remote Sensing Analysis of High-Density Canopy fAPAR Considering the Absorption Ratio of Senescent Leaves.

Yuanjin Li, Ningge Yuan, Shenghui Fang, Chaoran Zhang, Longfei Ma, Yi Peng, Yan Gong

Proceedings of the IGARSS 2024, 2024

Efficient Sparse Attention needs Adaptive Token Release.

Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

TL-MSE²-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms.

Chaoran Zhang, Ming Zhao, Yixuan Xie, Rui Ding, Ming Ma, Kaiwen Guo, Hongzhen Jiang, Wei Xi, Likun Xia

Comput. Biol. Medicine, December, 2023

The linear complexity and 4-adic complexity of quaternary sequences with period pq.

Chaoran Zhang, Xiaoyan Jing, Zhefeng Xu

J. Appl. Math. Comput., April, 2023

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection.

Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen

Proceedings of the Natural Language Processing and Chinese Computing, 2023

GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing.

Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

A Novel Supervised Distributed Dictionary Learning based on Learned K-SVD for Image Denoising.

Chaoran Zhang, Huakun Huang, Lingjun Zhao, Chenkai Xu, Rui Zhao

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

Rescon-Net: Transfer Learning Based Nested Model for Cerebrovascular Segmentation with Aneurysm.

Chaoran Zhang, Ming Zhao, Yixuan Xie, Ming Ma, Kaiwen Guo, Rui Ding, Hongzhen Jiang, Wei Xi, Likun Xia

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding.

Zhongqiang Ren, Chaoran Zhang, Sivakumar Rathinam, Howie Choset

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Faithful Explanations for Deep Graph Models.

Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta

CoRR, 2022

Pseudo-Siamese Neural Network Based Graph and Sequence Representation Learning for Molecular Property Prediction.

Chaoran Zhang, Xiangfeng Yan, Yong Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-Trained Language Model.

Yi Sun, Hangping Qiu, Yu Zheng, Zhongwei Wang, Chaoran Zhang

IEEE Access, 2020