| Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 2019 | 53847 | 2019 |
| Onnx: Open neural network exchange J Bai, F Lu, K Zhang GitHub repository, 2017 | 472 | 2017 |
| PyTorch: an imperative style, high-performance deep learning library, December 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... URL http://arxiv. org/abs/1912.01703, 1912 | 67 | 1912 |
| PyTorch: An Imperative Style, High-Performance Deep Learning Library. arXiv e-prints: p A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 2019 | 61 | 2019 |
| Distrifusion: Distributed parallel inference for high-resolution diffusion models M Li, T Cai, J Cao, Q Zhang, H Cai, J Bai, Y Jia, K Li, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 41 | 2024 |
| DISC: A dynamic shape compiler for machine learning workloads K Zhu, WY Zhao, Z Zheng, TY Guo, PZ Zhao, JJ Bai, J Yang, XY Liu, ... Proceedings of the 1st Workshop on Machine Learning and Systems, 89-95, 2021 | 31 | 2021 |
| Parameter-efficient sparsity for large language models fine-tuning Y Li, F Luo, C Tan, M Wang, S Huang, S Li, J Bai arXiv preprint arXiv:2205.11005, 2022 | 27 | 2022 |
| Bladedisc: Optimizing dynamic shape machine learning workloads via compiler approach Z Zheng, Z Pan, D Wang, K Zhu, W Zhao, T Guo, X Qiu, M Sun, J Bai, ... Proceedings of the ACM on Management of Data 1 (3), 1-29, 2023 | 12 | 2023 |
| Recom: A compiler approach to accelerating recommendation model inference with massive embedding columns Z Pan, Z Zheng, F Zhang, R Wu, H Liang, D Wang, X Qiu, J Bai, W Lin, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 8 | 2023 |
| MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures D Zhuang, Z Zheng, H Xia, X Qiu, J Bai, W Lin | 3* | |