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Yang Bai
Yang Bai
Ph.D. student of Computer Science, The Chinese University of Hong Kong
Verified email at cse.cuhk.edu.hk
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Cited by
Year
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
912022
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
192021
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
132021
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
112019
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
92021
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
82021
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
72022
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
52023
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, 2023
42023
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 Systems, 2023
32023
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
32022
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
22023
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
22019
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
12023
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
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
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
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
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2023
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
Modified silicon dioxide material of fluorocarbon active agent type super-amphiphobic cutting-carrying agent suitable for water-based drilling fluid and preparation method thereof
G Jiang, NI Xiaoxiao, Y He, L Yang, D Tengfei, K Zhang, X Luo, L Zhao, ...
US Patent 10,876,034, 2020
2020
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