Ruizhe Zhao

According to our database, Ruizhe Zhao authored at least 28 papers between 2013 and 2023.

Collaborative distances:

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

2023

In-Memory Search for Highly Efficient Image Retrieval.

Yingjie Yu, Ling Yang, Houji Zhou, Ruizhe Zhao, Yi Li, Hao Tong, Xiangshui Miao

Adv. Intell. Syst., March, 2023

2022

NSL-KDD.

Ruizhe Zhao

Dataset, February, 2022

A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier.

Ruizhe Zhao, Yingxue Mu, Long Zou, Xiumei Wen

IEEE Access, 2022

POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations.

Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

In-circuit tuning of deep learning designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk

J. Syst. Archit., 2021

Phism: Polyhedral High-Level Synthesis in MLIR.

Ruizhe Zhao, Jianyi Cheng

CoRR, 2021

Intrusion Detection Based on GA-XGB Algorithm.

Ruizhe Zhao, Yingxue Mu, Xiumei Wen

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Polygeist: Raising C to Polyhedral MLIR.

William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

On the challenges in programming mixed-precision deep neural networks.

Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi

Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2020

Reducing Underflow in Mixed Precision Training by Gradient Scaling.

Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2020

2019

Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going.

Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides

ACM Comput. Surv., 2019

Adaptive Loss Scaling for Mixed Precision Training.

Ruizhe Zhao, Brian Vogel, Tanvir Ahmed

CoRR, 2019

An Overlay for Rapid FPGA Debug of Machine Learning Applications.

Daniel Holanda Noronha, Ruizhe Zhao, Zhiqiang Que, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton

Proceedings of the International Conference on Field-Programmable Technology, 2019

Efficient Structured Pruning and Architecture Searching for Group Convolution.

Ruizhe Zhao, Wayne Luk

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Towards In-Circuit Tuning of Deep Learning Designs.

Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk

Proceedings of the International Conference on Computer-Aided Design, 2019

On-chip FPGA Debug Instrumentation for Machine Learning Applications.

Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

Learning Grouped Convolution for Efficient Domain Adaptation.

Ruizhe Zhao, Wayne Luk

CoRR, 2018

Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform.

Jiajun Gao, Yongxin Zhu, Meikang Qiu, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk, Ruizhe Zhao, Zhiqiang Que, Wei Mao, Can Feng, Xiaowen Zha, Guobao Deng, Jiayi Chen, Tao Liu

Proceedings of the Smart Computing and Communication - Third International Conference, 2018

Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA.

Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only).

Ruizhe Zhao, Xinyu Niu, Wayne Luk

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Hardware Compilation of Deep Neural Networks: An Overview.

Ruizhe Zhao, Shuanglong Liu, Ho-Cheung Ng, Erwei Wang, James J. Davis, Xinyu Niu, Xiwei Wang, Huifeng Shi, George A. Constantinides, Peter Y. K. Cheung, Wayne Luk

Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2017

Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures.

Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

Hardware Acceleration for Machine Learning.

Ruizhe Zhao, Wayne Luk, Xinyu Niu, Huifeng Shi, Haitao Wang

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

DeepPump: Multi-pumping deep Neural Networks.

Ruizhe Zhao, Tim Todman, Wayne Luk, Xinyu Niu

Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms.

Ruizhe Zhao, Xinyu Niu, Yajie Wu, Wayne Luk, Qiang Liu

Proceedings of the Applied Reconfigurable Computing - 13th International Symposium, 2017

2015

Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi.

Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh

Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2015

2013

A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks.

Zhen Gao, Ruizhe Zhao, Jianhua Ruan

BMC Genom., 2013