Chong Dai

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 8

Top Topics

Failure Prediction

Data Integration

Physico Chemical

Top Venues

Briefings Bioinform.

EURASIP J. Image Video Process.

Appl. Math. Comput.

Adv. Intell. Syst.

Publications

Xiaoqi Wang, Yuqi Wen, Yixin Zhang, Chong Dai, Yaning Yang, Xiaochen Bo, Song He, Shaoliang Peng
A hierarchical attention network integrating multi-scale relationship for drug response prediction. Inf. Fusion 110 (2024)
Hong Wang, Chong Dai, Yuqi Wen, Xiaoqi Wang, Wenjuan Liu, Song He, Xiaochen Bo, Shaoliang Peng
GADRP: graph convolutional networks and autoencoders for cancer drug response prediction. Briefings Bioinform. 24 (1) (2023)
Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang, Song He, Xiaochen Bo
Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application. Adv. Intell. Syst. 5 (5) (2023)
Jing Wang, Qinglong Zhang, Junshan Han, Yanpeng Zhao, Caiyun Zhao, Bowei Yan, Chong Dai, Lianlian Wu, Yuqi Wen, Yixin Zhang, Dongjin Leng, Zhongming Wang, Xiaoxi Yang, Song He, Xiaochen Bo
Computational methods, databases and tools for synthetic lethality prediction. Briefings Bioinform. 23 (3) (2022)
Weiping Lin, Lianlian Wu, Yixin Zhang, Yuqi Wen, Bowei Yan, Chong Dai, Kun-Hong Liu, Song He, Xiaochen Bo
An enhanced cascade-based deep forest model for drug combination prediction. Briefings Bioinform. 23 (2) (2022)
Lianlian Wu, Yuqi Wen, Dongjin Leng, Qinglong Zhang, Chong Dai, Zhongming Wang, Ziqi Liu, Bowei Yan, Yixin Zhang, Jing Wang, Song He, Xiaochen Bo
Machine learning methods, databases and tools for drug combination prediction. Briefings Bioinform. 23 (1) (2022)
Qingbo Ji, Chong Dai, Changbo Hou, Xun Li
Real-time embedded object detection and tracking system in Zynq SoC. EURASIP J. Image Video Process. 2021 (1) (2021)
Qingbo Ji, Xun Li, Zhiyu Qu, Chong Dai
Research on Urine Sediment Images Recognition Based on Deep Learning. IEEE Access 7 (2019)
Chao Huang, Chong Dai, Miao Guo
A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection. Appl. Math. Comput. 251 (2015)