Wujie Wen

Luo, Y., Xu, N., Peng, H., Wang, C., Duan, S., Mahmood, K., … Xu, X. (2023). AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. 56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023, pp. 628–640. https://doi.org/10.1145/3613424.3614297

Peng, H., Huang, S., Zhou, T., Luo, Y., Wang, C., Wang, Z., … Ding, C. (2023). AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 5155–5165. https://doi.org/10.1109/ICCV51070.2023.00478

Yan, Z., Qin, Y., Wen, W., Hu, X. S., & Shi, Y. (2023). Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise. 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD. https://doi.org/10.1109/ICCAD57390.2023.10323830

Huang, S., Fang, H., Mahmood, K., Lei, B., Xu, N., Lei, B., … Ding, C. (2023). Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. 2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC. https://doi.org/10.1109/DAC56929.2023.10247810