Chengkun Du

According to our database, Chengkun Du authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks.

Cheng Gong, Ye Lu, Surong Dai, Deng Qian, Chengkun Du, Tao Li

J. Comput. Sci. Technol., March, 2024

Quantitative evaluation of deep learning frameworks in heterogeneous computing environment.

Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie, Tao Li, Fei Yang

CCF Trans. High Perform. Comput., February, 2024

OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.

Zhengxian Lu, Chengkun Du, Xueshuo Xie, Qiankun Dong, Cheng Gong, Tao Li

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation.

Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia, Huazhu Fu

IEEE Trans. Medical Imaging, September, 2023