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)

Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. - Wai Teng Tang; Ruizhe Zhao; Mian Lu; Yun Liang 001; Huynh Phung Huyng; Xibai Li; Rick Siow Mong Goh (CGO, 2015)

Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms. - Ruizhe Zhao; Xinyu Niu; Yajie Wu; Wayne Luk; Qiang Liu 011 (ARC, 2017)

DeepPump: Multi-pumping deep Neural Networks. - Ruizhe Zhao; Tim Todman; Wayne Luk; Xinyu Niu (ASAP, 2017)

Hardware Acceleration for Machine Learning. - Ruizhe Zhao; Wayne Luk; Xinyu Niu; Huifeng Shi; Haitao Wang (ISVLSI, 2017)

Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. - Yun Liang 001; Wai Teng Tang; Ruizhe Zhao; Mian Lu; Huynh Phung Huynh; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Hardware Compilation of Deep Neural Networks: An Overview. - Ruizhe Zhao; Shuanglong Liu; Ho-Cheung Ng; Erwei Wang; James J. Davis 001; Xinyu Niu; Xiwei Wang; Huifeng Shi; George A. Constantinides; Peter Y. K. Cheung; Wayne Luk (ASAP, 2018)

Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only). - Ruizhe Zhao; Xinyu Niu; Wayne Luk (FPGA, 2018)

Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. - Ruizhe Zhao; Ho-Cheung Ng; Wayne Luk; Xinyu Niu (FPL, 2018)

Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform. - Jiajun Gao; Yongxin Zhu 001; Meikang Qiu; Kuen Hung Tsoi; Xinyu Niu; Wayne Luk; Ruizhe Zhao; Zhiqiang Que; Wei Mao; Can Feng; Xiaowen Zha; Guobao Deng; et al. (SmartCom, 2018)

Learning Grouped Convolution for Efficient Domain Adaptation. - Ruizhe Zhao; Wayne Luk (CoRR, 2018)

On-chip FPGA Debug Instrumentation for Machine Learning Applications. - Daniel Holanda Noronha; Ruizhe Zhao; Jeffrey Goeders; Wayne Luk; Steven J. E. Wilton (FPGA, 2019)

Towards In-Circuit Tuning of Deep Learning Designs. - Zhiqiang Que; Daniel Holanda Noronha; Ruizhe Zhao; Steven J. E. Wilton; Wayne Luk (ICCAD, 2019)

Efficient Structured Pruning and Architecture Searching for Group Convolution. - Ruizhe Zhao; Wayne Luk (ICCV Workshops, 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 (FPT, 2019)

Adaptive Loss Scaling for Mixed Precision Training. - Ruizhe Zhao; Brian Vogel; Tanvir Ahmed (CoRR, 2019)

Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. - Erwei Wang; James J. Davis 001; Ruizhe Zhao; Ho-Cheung Ng; Xinyu Niu; Wayne Luk; Peter Y. K. Cheung; George A. Constantinides (ACM Comput. Surv., 2019)

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 (FPT, 2020)

Reducing Underflow in Mixed Precision Training by Gradient Scaling. - Ruizhe Zhao; Brian Vogel; Tanvir Ahmed; Wayne Luk (IJCAI, 2020)

On the challenges in programming mixed-precision deep neural networks. - Ruizhe Zhao; Wayne Luk; Chao Xiong; Xinyu Niu; Kuen Hung Tsoi (MAPL@PLDI, 2020)

Polygeist: Raising C to Polyhedral MLIR. - William S. Moses; Lorenzo Chelini; Ruizhe Zhao; Oleksandr Zinenko (PACT, 2021)

Intrusion Detection Based on GA-XGB Algorithm. - Ruizhe Zhao; Yingxue Mu; Xiumei Wen (DMBD (1), 2021)

Phism: Polyhedral High-Level Synthesis in MLIR. - Ruizhe Zhao; Jianyi Cheng (CoRR, 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)

POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. - Ruizhe Zhao; Jianyi Cheng; Wayne Luk; George A. Constantinides (FPL, 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)

NSL-KDD. - Ruizhe Zhao (IEEE DataPort, 2022)

In-Memory Search for Highly Efficient Image Retrieval. - Yingjie Yu; Ling Yang; Houji Zhou; Ruizhe Zhao; Yi Li 049; Hao Tong; Xiangshui Miao (Adv. Intell. Syst., 2023)

Linear Array Motion-Based Time-Varying Channel Estimation for Three-Dimensional Millimeter-Wave Systems. - Ruizhe Zhao; Zhi Zhang 003; Jianhong Chu; Tianshu Su (WCNC, 2025)

Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation. - Enming Zhang; Zhengyu Li; Yanru Wu; Jingge Wang; Yang Tan; Ruizhe Zhao; Guan Wang; Yang Li (CoRR, 2025)

Joint DOA and TOA Estimation for Moving MIMO Radar Based on OFDM-ISAC Signals. - Tianshu Su; Zhi Zhang 003; Jianhong Chu; Ruizhe Zhao; Yuzhen Huang 001 (IEEE Trans. Veh. Technol., 2025)