Chaoran Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Transfer Learning

Heterogeneous Computing

Keyphrase Extraction

Top Venues

Publications

Chaoran Zhang, Feifan Bi, Junyao Zhang, Guo Chen
A Deep Learning Approach for Single-Cell Perturbation Prediction Using Small Molecule Chemical Structures. ISNN (2024)
Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li
Efficient Sparse Attention needs Adaptive Token Release. CoRR (2024)
Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) (2024)
Chaoran Zhang, Ming Zhao, Yixuan Xie, Rui Ding, Ming Ma, Kaiwen Guo, Hongzhen Jiang, Wei Xi, Likun Xia
-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms. Comput. Biol. Medicine 167 (2023)
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)
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 (2023)
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)
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) (2023)
Zhongqiang Ren, Chaoran Zhang, Sivakumar Rathinam, Howie Choset
Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding. ICRA (2023)
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)
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)
Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta
Faithful Explanations for Deep Graph Models. CoRR (2022)
Chaoran Zhang, Xiangfeng Yan, Yong Liu
Pseudo-Siamese Neural Network Based Graph and Sequence Representation Learning for Molecular Property Prediction. BIBM (2022)
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 (2020)