Ruizhe Zhao

33 papers A* 1A 4B 4Journal 13Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Joint DOA and TOA Estimation for Moving MIMO Radar Based on OFDM-ISAC Signals.
IEEE Trans. Veh. Technol.
Tianshu Su, Zhi Zhang, Jianhong Chu, Ruizhe Zhao, Yuzhen Huang
2025 B conf
Linear Array Motion-Based Time-Varying Channel Estimation for Three-Dimensional Millimeter-Wave Systems.
WCNC
Ruizhe Zhao, Zhi Zhang, Jianhong Chu, Tianshu Su
2025 J jnl
Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation.
CoRR
Enming Zhang, Zhengyu Li, Yanru Wu, Jingge Wang, Yang Tan, Ruizhe Zhao, Guan Wang, Yang Li
2023 J jnl
In-Memory Search for Highly Efficient Image Retrieval.
Adv. Intell. Syst.
Yingjie Yu, Ling Yang, Houji Zhou, Ruizhe Zhao, Yi Li, Hao Tong, Xiangshui Miao
2022 J jnl
A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier.
IEEE Access
Ruizhe Zhao, Yingxue Mu, Long Zou, Xiumei Wen
2022 B conf
POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations.
FPL
Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides
2021 J jnl
In-circuit tuning of deep learning designs.
J. Syst. Archit.
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
2021 — conf
Intrusion Detection Based on GA-XGB Algorithm.
DMBD (1)
Ruizhe Zhao, Yingxue Mu, Xiumei Wen
2021 J jnl
Phism: Polyhedral High-Level Synthesis in MLIR.
CoRR
Ruizhe Zhao, Jianyi Cheng
2021 B conf
Polygeist: Raising C to Polyhedral MLIR.
PACT
William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko
2020 — conf
On the challenges in programming mixed-precision deep neural networks.
MAPL@PLDI
Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi
2020 A* conf
Reducing Underflow in Mixed Precision Training by Gradient Scaling.
IJCAI
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk
2020 — conf
Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs.
FPT
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Xinyu Niu, Steven J. E. Wilton, Wayne Luk
2019 J jnl
Adaptive Loss Scaling for Mixed Precision Training.
CoRR
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed
2019 — conf
An Overlay for Rapid FPGA Debug of Machine Learning Applications.
FPT
Daniel Holanda Noronha, Ruizhe Zhao, Zhiqiang Que, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
2019 J jnl
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going.
CoRR
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
2019 J jnl
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going.
ACM Comput. Surv.
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
2019 — conf
Efficient Structured Pruning and Architecture Searching for Group Convolution.
ICCV Workshops
Ruizhe Zhao, Wayne Luk
2019 A conf
On-chip FPGA Debug Instrumentation for Machine Learning Applications.
FPGA
Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton
2019 A conf
Towards In-Circuit Tuning of Deep Learning Designs.
ICCAD
Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk
2018 A conf
Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only).
FPGA
Ruizhe Zhao, Xinyu Niu, Wayne Luk
2018 — conf
Hardware Compilation of Deep Neural Networks: An Overview.
ASAP
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
2018 J jnl
Learning Grouped Convolution for Efficient Domain Adaptation.
CoRR
Ruizhe Zhao, Wayne Luk
2018 — conf
Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform.
SmartCom
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
2018 B conf
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA.
FPL
Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu
2018 J jnl
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA.
CoRR
Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu
2017 — conf
DeepPump: Multi-pumping deep Neural Networks.
ASAP
Ruizhe Zhao, Tim Todman, Wayne Luk, Xinyu Niu
2017 — conf
Hardware Acceleration for Machine Learning.
ISVLSI
Ruizhe Zhao, Wayne Luk, Xinyu Niu, Huifeng Shi, Haitao Wang
2017 — conf
Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms.
ARC
Ruizhe Zhao, Xinyu Niu, Yajie Wu, Wayne Luk, Qiang Liu
2017 J jnl
Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2015 A conf
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi.
CGO
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
2013 J jnl
A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks.
BMC Genom.
Zhen Gao, Ruizhe Zhao, Jianhua Ruan
2012 — conf
A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks.
RACS
Zhen Gao, Ruizhe Zhao, Jianhua Ruan