Kai Zhong

According to our database, Kai Zhong authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators.

Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.

Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling.

Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.

Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring.

Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang

ACM Trans. Reconfigurable Technol. Syst., 2022

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.

Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators.

Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Machine Learning for Electronic Design Automation: A Survey.

Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang

ACM Trans. Design Autom. Electr. Syst., 2021

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.

Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang

CoRR, 2021

2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.

Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang

CoRR, 2020

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang

Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2018

Power Grid Reduction by Sparse Convex Optimization.

Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan

Proceedings of the 2018 International Symposium on Physical Design, 2018

2016

Practical public PUF enabled by solving max-flow problem on chip.

Meng Li, Jin Miao, Kai Zhong, David Z. Pan

Proceedings of the 53rd Annual Design Automation Conference, 2016