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2020 – today
- 2023
[j6]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)- 2022
- [j5]Ruizhe Zhao, Yingxue Mu, Long Zou, Xiumei Wen:
A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier. IEEE Access 10: 71414-71426 (2022) - [c19]Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides:
POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. FPL 2022: 235-242 - [d1]Ruizhe Zhao:
NSL-KDD. IEEE DataPort, 2022
- 2021
- [j4]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: 102198 (2021) - [c18]William S. Moses, Lorenzo Chelini, Ruizhe Zhao, Oleksandr Zinenko:
Polygeist: Raising C to Polyhedral MLIR. PACT 2021: 45-59 - [c17]Ruizhe Zhao, Yingxue Mu, Xiumei Wen:
Intrusion Detection Based on GA-XGB Algorithm. DMBD (1) 2021: 150-157 - [i5]Ruizhe Zhao, Jianyi Cheng:
Phism: Polyhedral High-Level Synthesis in MLIR. CoRR abs/2103.15103 (2021) - 2020
- [c16]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: 301 - [c15]Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk:
Reducing Underflow in Mixed Precision Training by Gradient Scaling. IJCAI 2020: 2922-2928 - [c14]Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi:
On the challenges in programming mixed-precision deep neural networks. MAPL@PLDI 2020: 20-28
2010 – 2019
- 2019
- [j3]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): 40:1-40:39 (2019) - [c13]Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton:
On-chip FPGA Debug Instrumentation for Machine Learning Applications. FPGA 2019: 110-115 - [c12]Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk:
Towards In-Circuit Tuning of Deep Learning Designs. ICCAD 2019: 1-6 - [c11]Ruizhe Zhao, Wayne Luk:
Efficient Structured Pruning and Architecture Searching for Group Convolution. ICCV Workshops 2019: 1961-1970 - [c10]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: 135-143 - [i4]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 abs/1901.06955 (2019) - [i3]Ruizhe Zhao, Brian Vogel, Tanvir Ahmed:
Adaptive Loss Scaling for Mixed Precision Training. CoRR abs/1910.12385 (2019) - 2018
- [c9]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: 1-8 - [c8]Ruizhe Zhao, Xinyu Niu, Wayne Luk:
Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only). FPGA 2018: 285 - [c7]Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu:
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. FPL 2018: 147-154 - [c6]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: 87-96 - [i2]Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu:
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. CoRR abs/1809.03318 (2018) - [i1]Ruizhe Zhao, Wayne Luk:
Learning Grouped Convolution for Efficient Domain Adaptation. CoRR abs/1811.09341 (2018) - 2017
- [j2]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): 2106-2119 (2017) - [c5]Ruizhe Zhao, Xinyu Niu, Yajie Wu, Wayne Luk, Qiang Liu:
Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms. ARC 2017: 255-267 - [c4]Ruizhe Zhao, Tim Todman, Wayne Luk, Xinyu Niu:
DeepPump: Multi-pumping deep Neural Networks. ASAP 2017: 206 - [c3]Ruizhe Zhao, Wayne Luk, Xinyu Niu, Huifeng Shi, Haitao Wang:
Hardware Acceleration for Machine Learning. ISVLSI 2017: 645-650 - 2015
- [c2]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: 136-145 - 2013
- [j1]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): S4 (2013) - 2012
- [c1]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: 74-75
Coauthor Index
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