Practical public PUF enabled by solving max-flow problem on chip. - Meng Li 004; Jin Miao; Kai Zhong 007; David Z. Pan (DAC, 2016)

Power Grid Reduction by Sparse Convex Optimization. - Wei Ye 008; Meng Li 004; Kai Zhong 007; Bei Yu 001; David Z. Pan (ISPD, 2018)

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Kai Zhong 007; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FCCM, 2020)

Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. - Shulin Zeng; Guohao Dai; Kai Zhong 007; Hanbo Sun; Guangjun Ge; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPGA, 2020)

Towards Lower Bit Multiplication for Convolutional Neural Network Training. - Kai Zhong 007; Tianchen Zhao; Xuefei Ning; Shulin Zeng; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (CoRR, 2020)

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. - Nianhui Guo; Joseph Bethge; Haojin Yang; Kai Zhong 007; Xuefei Ning; Christoph Meinel; Yu Wang 002 (CoRR, 2021)

Machine Learning for Electronic Design Automation: A Survey. - Guyue Huang; Jingbo Hu; Yifan He 003; Jialong Liu; Mingyuan Ma; Zhaoyang Shen; Juejian Wu; Yuanfan Xu; Hengrui Zhang; Kai Zhong 007; Xuefei Ning; Yuzhe Ma; et al. (ACM Trans. Design Autom. Electr. Syst., 2021)

Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. - Yu Zhu; Zhenhua Zhu; Guohao Dai; Kai Zhong 007; Huazhong Yang; Yu Wang 002 (DATE, 2022)

Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. - Kai Zhong 007; Xuefei Ning; Guohao Dai; Zhenhua Zhu; Tianchen Zhao; Shulin Zeng; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. - Shulin Zeng; Guohao Dai; Hanbo Sun; Jun Liu 071; Shiyao Li; Guangjun Ge; Kai Zhong 007; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2022)

NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. - Wentao Hou; Kai Zhong 007; Shulin Zeng; Guohao Dai; Huazhong Yang; Yu Wang 002 (ASP-DAC, 2023)

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. - Xinhao Yang; Tianyu Fu 004; Guohao Dai; Shulin Zeng; Kai Zhong 007; Ke Hong; Yu Wang 002 (DAC, 2023)

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. - Kai Zhong 007; Shulin Zeng; Wentao Hou; Guohao Dai; Zhenhua Zhu; Xuecang Zhang; Shihai Xiao; Huazhong Yang; Yu Wang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. - Kai Zhong 007; Zhenhua Zhu; Guohao Dai; Hongyi Wang; Xinhao Yang; Haoyu Zhang; Jin Si; Qiuli Mao; Shulin Zeng; Ke Hong; Genghan Zhang; Huazhong Yang; et al. (ASPLOS (3), 2024)

DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. - Hongyi Wang; Kai Zhong 007; Haoyu Zhang; Shulin Zeng; Zhenhua Zhu; Xinhao Yang; Shuang Wang; Guohao Dai; Huazhong Yang; Yu Wang 002 (DAC, 2024)