| Autorep: Automatic relu replacement for fast private network inference H Peng, S Huang, T Zhou, Y Luo, C Wang, Z Wang, J Zhao, X Xie, A Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference H Peng, S Zhou, Y Luo, N Xu, S Duan, R Ran, J Zhao, S Huang, X Xie, ... AAAI 2023 Workshop on DL-Hardware Co-Design for AI Acceleration, 2023 | 10 | 2023 |
| Accel-gcn: High-performance gpu accelerator design for graph convolution networks X Xie, H Peng, A Hasan, S Huang, J Zhao, H Fang, W Zhang, T Geng, ... 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 7 | 2023 |
| MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training H Peng, X Xie, K Shivdikar, MD Hasan, J Zhao, S Huang, O Khan, D Kaeli, ... ACM International Conference on Architectural Support for Programming …, 2024 | 5 | 2024 |
| Advanced language model-driven verilog development: Enhancing power, performance, and area optimization in code synthesis K Thorat, J Zhao, Y Liu, H Peng, X Xie, B Lei, J Zhang, C Ding (Work-in-Progress) Proceedings of the 61th ACM/IEEE Design Automation Conference, 0 | 2* | |
| MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training H Peng, X Xie, K Shivdikar, MA Hasan, J Zhao, S Huang, O Khan, D Kaeli, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
