Kai Zhong

17 papers A* 3A 2Misc 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 A* conf
DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators.
DAC
Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang
2024 — conf
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.
ASPLOS (3)
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
2023 A* conf
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.
DAC
Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang
2023 J jnl
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang
2023 — conf
NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring.
ASP-DAC
Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang
2022 J jnl
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud.
ACM Trans. Reconfigurable Technol. Syst.
Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang
2022 A conf
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators.
DATE
Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang
2022 J jnl
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kai Zhong, Xuefei Ning, Guohao Dai, Zhenhua Zhu, Tianchen Zhao, Shulin Zeng, Yu Wang, Huazhong Yang
2021 J jnl
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.
CoRR
Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
CoRR
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
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
ACM Trans. Design Autom. Electr. Syst.
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
2020 A conf
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
FPGA
Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020 Misc conf
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
FCCM
Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020 J jnl
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.
CoRR
Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang
2020 J jnl
Towards Lower Bit Multiplication for Convolutional Neural Network Training.
CoRR
Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang
2018 — conf
Power Grid Reduction by Sparse Convex Optimization.
ISPD
Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan
2016 A* conf
Practical public PUF enabled by solving max-flow problem on chip.
DAC
Meng Li, Jin Miao, Kai Zhong, David Z. Pan