| 2025 | WCNC | Linear Array Motion-Based Time-Varying Channel Estimation for Three-Dimensional Millimeter-Wave Systems. | Ruizhe Zhao, Zhi Zhang, Jianhong Chu, Tianshu Su |
| 2022 | FPL | POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. | Ruizhe Zhao, Jianyi Cheng, Wayne Luk, George A. Constantinides |
| 2020 | IJCAI | Reducing Underflow in Mixed Precision Training by Gradient Scaling. | Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk |
| 2020 | PLDI | On the challenges in programming mixed-precision deep neural networks. | Ruizhe Zhao, Wayne Luk, Chao Xiong, Xinyu Niu, Kuen Hung Tsoi |
| 2019 | FPGA | On-chip FPGA Debug Instrumentation for Machine Learning Applications. | Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk, Steven J. E. Wilton |
| 2019 | ICCAD | Towards In-Circuit Tuning of Deep Learning Designs. | Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk |
| 2018 | FPGA | Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only). | Ruizhe Zhao, Xinyu Niu, Wayne Luk |
| 2018 | FPL | Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. | Ruizhe Zhao, Ho-Cheung Ng, Wayne Luk, Xinyu Niu |
| 2015 | CGO | 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 |