| 2026 | ASPDAC | Enhancing Trustworthiness with Mixed Precision: Benchmarks, Opportunities, and Challenges. | Guanxi Lu, Hao Mark Chen, Zhiqiang Que, Wayne Luk, Hongxiang Fan |
| 2026 | FCCM | HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference. | Chang Sun, Zhiqiang Que, Bakhtiar Zadeh, Qibin Liu, Kevin H. Alvarez, Wayne Luk, Maria Spiropulu |
| 2026 | FPGA | HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs. | Chang Sun, Zhiqiang Que, Thea Aarrestad, Vladimir Loncar, Jennifer Ngadiuba, Wayne Luk, Maria Spiropulu |
| 2026 | ISCAS | A Clock-Independent, Time-Domain Rapid Calibration Method for Memristor-based Analog Computing AI Processors. | Junzhe Chen, Matthew Schormans, Zhiqiang Que, Dinesh Pamunuwa, Jiayang Li |
| 2023 | DAC | When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. | Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk |
| 2023 | FPL | MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. | Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, Jos Gabriel F. Coutinho, Wayne Luk |
| 2022 | ASPDAC | Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. | Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk |
| 2022 | FPL | Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs. | Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk |
| 2022 | ISCAS | Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. | Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan |
| 2021 | FCCM | Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs. | Daniel Holanda Noronha, Zhiqiang Que, Wayne Luk, Steven J. E. Wilton |
| 2020 | FCCM | High-Throughput Convolutional Neural Network on an FPGA by Customized JPEG Compression. | Hiroki Nakahara, Zhiqiang Que, Wayne Luk |
| 2020 | FCCM | Optimizing Reconfigurable Recurrent Neural Networks. | Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk |
| 2020 | FPGA | R2CNN: Recurrent Residual Convolutional Neural Network on FPGA. | Hiroki Nakahara, Zhiqiang Que, Akira Jinguji, Wayne Luk |
| 2020 | ICCD | Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. | Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk |
| 2019 | ICCAD | Towards In-Circuit Tuning of Deep Learning Designs. | Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk |
| 2018 | FPL | Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation. | Hongxiang Fan, Ho-Cheung Ng, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk |