| Dgnn-booster: A generic fpga accelerator framework for dynamic graph neural network inference H Chen, C Hao 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | 5 | 2023 |
| Mask-net: A hardware-efficient object detection network with masked region proposals H Chen, C Hao 2022 IEEE 33rd International Conference on Application-specific Systems …, 2022 | 3 | 2022 |
| Bottleneck analysis of dynamic graph neural network inference on cpu and gpu H Chen, Y Alhinai, Y Jiang, E Na, C Hao 2022 IEEE International Symposium on Workload Characterization (IISWC), 130-145, 2022 | 2 | 2022 |
| Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation H Chen, H Yang, S Fitzmeyer, C Hao 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
| Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect N Wu, Y Li, H Yang, H Chen, S Dai, C Hao, C Yu, Y Xie ACM Transactions on Design Automation of Electronic Systems 29 (4), 1-42, 2024 | | 2024 |
| HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond S Abi-Karam, R Sarkar, A Seigler, S Lowe, Z Wei, H Chen, N Rao, L John, ... arXiv preprint arXiv:2405.00820, 2024 | | 2024 |
| Hardware/Software Co-design for Machine Learning Accelerators H Chen, C Hao 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | | 2023 |
