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Journal Articles
- 2024
[j4]Huakun Huang, Chaoran Zhang, Lingjun Zhao, Shuxue Ding, Hanpin Wang, Huijun Wu:
Self-Supervised Medical Image Denoising Based on WISTA-Net for Human Healthcare in Metaverse. IEEE J. Biomed. Health Informatics 28(11): 6329-6337 (2024)- 2023
- [j3]Chaoran Zhang, Ming Zhao, Yixuan Xie, Rui Ding, Ming Ma, Kaiwen Guo, Hongzhen Jiang, Wei Xi, Likun Xia:
TL-MSE2-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms. Comput. Biol. Medicine 167: 107609 (2023) - [j2]Chaoran Zhang, Xiaoyan Jing, Zhefeng Xu
:
The linear complexity and 4-adic complexity of quaternary sequences with period pq. J. Appl. Math. Comput. 69(2): 2003-2017 (2023) - 2020
- [j1]Yi Sun, Hangping Qiu, Yu Zheng, Zhongwei Wang, Chaoran Zhang:
SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-Trained Language Model. IEEE Access 8: 10896-10906 (2020)
Conference and Workshop Papers
- 2024
- [c9]Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) 2024: 14081-14094 - [c8]Yuanjin Li, Ningge Yuan, Shenghui Fang, Chaoran Zhang, Longfei Ma, Yi Peng, Yan Gong:
Remote Sensing Analysis of High-Density Canopy fAPAR Considering the Absorption Ratio of Senescent Leaves. IGARSS 2024: 4841-4845 - [c7]Chaoran Zhang, Feifan Bi, Junyao Zhang, Guo Chen:
A Deep Learning Approach for Single-Cell Perturbation Prediction Using Small Molecule Chemical Structures. ISNN 2024: 569-579 - 2023
- [c6]Zhongqiang Ren, Chaoran Zhang, Sivakumar Rathinam, Howie Choset:
Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding. ICRA 2023: 1407-1413 - [c5]Chaoran Zhang, Ming Zhao, Yixuan Xie, Ming Ma, Kaiwen Guo, Rui Ding, Hongzhen Jiang, Wei Xi, Likun Xia:
Rescon-Net: Transfer Learning Based Nested Model for Cerebrovascular Segmentation with Aneurysm. ISBI 2023: 1-5 - [c4]Chaoran Zhang, Huakun Huang, Lingjun Zhao, Chenkai Xu, Rui Zhao:
A Novel Supervised Distributed Dictionary Learning based on Learned K-SVD for Image Denoising. MCSoC 2023: 306-311 - [c3]Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong:
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys 2023 - [c2]Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen:
DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. NLPCC (2) 2023: 690-703 - 2022
- [c1]Chaoran Zhang, Xiangfeng Yan, Yong Liu:
Pseudo-Siamese Neural Network Based Graph and Sequence Representation Learning for Molecular Property Prediction. BIBM 2022: 3911-3913
Informal and Other Publications
- 2024
- [i3]Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. CoRR abs/2407.02328 (2024) - 2023
- [i2]Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong:
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR abs/2305.14562 (2023) - 2022
- [i1]Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta:
Faithful Explanations for Deep Graph Models. CoRR abs/2205.11850 (2022)
Coauthor Index
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