| PCL: Proxy-based Contrastive Learning for Domain Generalization X Yao, Y Bai, X Zhang, Y Zhang, Q Sun, R Chen, R Li, B Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 112 | 2022 |
| Uhrsnet: A semantic segmentation network specifically for ultra-high-resolution images L Shan, M Li, X Li, Y Bai, K Lv, B Luo, SB Chen, W Wang 2020 25th International Conference on Pattern Recognition (ICPR), 1460-1466, 2021 | 32 | 2021 |
| Global-local attention network for semantic segmentation in aerial images M Li, L Shan, X Li, Y Bai, D Zhou, W Wang, K Lv, B Luo, SB Chen 2020 25th International Conference on Pattern Recognition (ICPR), 5704-5711, 2021 | 18 | 2021 |
| Acpnet: anchor-center based person network for human pose estimation and instance segmentation Y Bai, W Wang 2019 IEEE International Conference on Multimedia and Expo (ICME), 1072-1077, 2019 | 12 | 2019 |
| AutoGTCO: Graph and tensor co-Optimize for image recognition with transformers on GPU Y Bai, X Yao, Q Sun, B Yu 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 10 | 2021 |
| Fast and efficient DNN deployment via deep Gaussian transfer learning Q Sun, C Bai, T Chen, H Geng, X Zhang, Y Bai, B Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
| Diffpattern: Layout pattern generation via discrete diffusion Z Wang, Y Shen, W Zhao, Y Bai, G Chen, F Farnia, B Yu 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 9 | 2023 |
| Alcop: Automatic load-compute pipelining in deep learning compiler for ai-gpus G Huang, Y Bai, L Liu, Y Wang, B Yu, Y Ding, Y Xie Proceedings of Machine Learning and Systems 5, 680-694, 2023 | 8 | 2023 |
| Moses: Efficient exploitation of cross-device transferable features for tensor program optimization Z Zhao, X Shuai, Y Bai, N Ling, N Guan, Z Yan, G Xing arXiv preprint arXiv:2201.05752, 2022 | 8 | 2022 |
| A high-performance accelerator for super-resolution processing on embedded GPU W Zhao, Y Bai, Q Sun, W Li, H Zheng, N Jiang, J Lu, B Yu, MDF Wong IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 5 | 2023 |
| GTuner: Tuning DNN computations on GPU via graph attention network Q Sun, X Zhang, H Geng, Y Zhao, Y Bai, H Zheng, B Yu Proceedings of the 59th ACM/IEEE Design Automation Conference, 1045-1050, 2022 | 5 | 2022 |
| Gtco: Graph and tensor co-design for transformer-based image recognition on tensor cores Y Bai, X Yao, Q Sun, W Zhao, S Chen, Z Wang, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 2 | 2023 |
| AutoGraph: Optimizing DNN computation graph for parallel GPU kernel execution Y Zhao, Q Sun, Z He, Y Bai, B Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11354 …, 2023 | 2 | 2023 |
| Super-amphiphobic composite material and use of the same as inhibitor, lubricant, reservoir protectant, and accelerator in water-based drilling fluids G Jiang, NI Xiaoxiao, L Yang, G Ma, C Peng, D Gao, X Wang, J Sun, ... US Patent 10,308,857, 2019 | 2 | 2019 |
| ChatPattern: Layout Pattern Customization via Natural Language Z Wang, Y Shen, X Yao, W Zhao, Y Bai, F Farnia, B Yu arXiv preprint arXiv:2403.15434, 2024 | 1 | 2024 |
| SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design S Chen, S Zheng, C Bai, W Zhao, S Yin, Y Bai, B Yu 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 207-212, 2024 | 1 | 2024 |
| ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs Y Bai, W Zhao, S Yin, Z Wang, B Yu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
| Design Automation with Efficient Compilation on Hardware Accelerators Y BAI The Chinese University of Hong Kong, 2024 | | 2024 |
| AdaOPC 2.0: Enhanced Adaptive Mask Optimization Framework for Via Layers W Zhao, X Yao, S Yin, Y Bai, Z Yu, Y Ma, B Yu, MDF Wong IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. G Huang, Y Bai, L Liu, Y Wang, B Yu, Y Ding, Y Xie CoRR, 2022 | | 2022 |
