Kai Zhong

Orcid: 0000-0002-8448-9530

Affiliations:

Tsinghua University, Department of Electronic Engineering, Beijing, China

According to our database¹, Kai Zhong authored at least 24 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Reconfigurable Technol. Syst., 2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

Machine Learning for Electronic Design Automation: A Survey.

[BibT_eX]

[DOI]

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

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Towards Lower Bit Multiplication for Convolutional Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

Provable Non-linear Inductive Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Power Grid Reduction by Sparse Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Symposium on Physical Design, 2018

2017

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.

[BibT_eX]

[DOI]

Kai Zhong

Zhao Song

Inderjit S. Dhillon

CoRR, 2017

Fast second-order cone programming for safe mission planning.

[BibT_eX]

[DOI]

Kai Zhong

Prateek Jain

Ashish Kapoor

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Recovery Guarantees for One-hidden-layer Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Mixed Linear Regression with Multiple Components.

[BibT_eX]

[DOI]

Kai Zhong

Prateek Jain

Inderjit S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.

[BibT_eX]

[DOI]

Kai Zhong

Prateek Jain

Inderjit S. Dhillon

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

Kai Zhong

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