| 2022 | DAC | GuardNN: secure accelerator architecture for privacy-preserving deep learning. | Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh |
| 2022 | ICML | Transformer Quality in Linear Time. | Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le |
| 2022 | ISCA | MGX: near-zero overhead memory protection for data-intensive accelerators. | Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh |
| 2022 | ISCA | SoftVN: efficient memory protection via software-provided version numbers. | Muhammad Umar, Weizhe Hua, Zhiru Zhang, G. Edward Suh |
| 2021 | ASPLOS | Sinan: ML-based and QoS-aware resource management for cloud microservices. | Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou |
| 2020 | ICLR | Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations. | Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang |
| 2019 | MICRO | Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating. | Weizhe Hua, Yuan Zhou, Christopher De Sa, Zhiru Zhang, G. Edward Suh |
| 2018 | DAC | Reverse engineering convolutional neural networks through side-channel information leaks. | Weizhe Hua, Zhiru Zhang, G. Edward Suh |
| 2017 | DAC | Secure Information Flow Verification with Mutable Dependent Types. | Andrew Ferraiuolo, Weizhe Hua, Andrew C. Myers, G. Edward Suh |
| 2016 | ISLPED | Low Area, Low Power, Robust, Highly Sensitive Error Detecting Latch for Resilient Architectures. | Weizhe Hua, Ramy N. Tadros, Peter A. Beerel |