Ruizhe Zhao

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 28

Top Topics

Intrusion Detection

Learning Design

Top Venues

Publications

Yingjie Yu, Ling Yang, Houji Zhou, Ruizhe Zhao, Yi Li, Hao Tong, Xiangshui Miao
In-Memory Search for Highly Efficient Image Retrieval. Adv. Intell. Syst. 5 (3) (2023)
Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides
POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. FPL (2022)
Ruizhe Zhao, Yingxue Mu, Long Zou, Xiumei Wen
A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier. IEEE Access 10 (2022)
William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko
Polygeist: Raising C to Polyhedral MLIR. PACT (2021)
Ruizhe Zhao, Jianyi Cheng
Phism: Polyhedral High-Level Synthesis in MLIR. CoRR (2021)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
In-circuit tuning of deep learning designs. J. Syst. Archit. 118 (2021)
Ruizhe Zhao, Yingxue Mu, Xiumei Wen
Intrusion Detection Based on GA-XGB Algorithm. DMBD (1) (2021)
Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi
On the challenges in programming mixed-precision deep neural networks. MAPL@PLDI (2020)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs. FPT (2020)
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk
Reducing Underflow in Mixed Precision Training by Gradient Scaling. IJCAI (2020)
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk
Towards In-Circuit Tuning of Deep Learning Designs. ICCAD (2019)
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. CoRR (2019)
Daniel Holanda Noronha, Ruizhe Zhao, Zhiqiang Que, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
An Overlay for Rapid FPGA Debug of Machine Learning Applications. FPT (2019)
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed
Adaptive Loss Scaling for Mixed Precision Training. CoRR (2019)
Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
On-chip FPGA Debug Instrumentation for Machine Learning Applications. FPGA (2019)
Ruizhe Zhao, Wayne Luk
Efficient Structured Pruning and Architecture Searching for Group Convolution. ICCV Workshops (2019)
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. ACM Comput. Surv. 52 (2) (2019)
Ruizhe Zhao, Xinyu Niu, Wayne Luk
Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only). FPGA (2018)
Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. CoRR (2018)
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
Hardware Compilation of Deep Neural Networks: An Overview. ASAP (2018)
Ruizhe Zhao, Wayne Luk
Learning Grouped Convolution for Efficient Domain Adaptation. CoRR (2018)
Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. FPL (2018)
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
Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform. SmartCom (2018)
Ruizhe Zhao, Xinyu Niu, Yajie Wu, Wayne Luk, Qiang Liu
Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms. ARC (2017)
Ruizhe Zhao, Wayne Luk, Xinyu Niu, Huifeng Shi, Haitao Wang
Hardware Acceleration for Machine Learning. ISVLSI (2017)
Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (12) (2017)
Ruizhe Zhao, Tim Todman, Wayne Luk, Xinyu Niu
DeepPump: Multi-pumping deep Neural Networks. ASAP (2017)
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. CGO (2015)
Zhen Gao, Ruizhe Zhao, Jianhua Ruan
A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks. BMC Genom. 14 (S-1) (2013)
Zhen Gao, Ruizhe Zhao, Jianhua Ruan
A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks. RACS (2012)