Guilin Li
Cited by
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Revisiting knowledge distillation via label smoothing regularization
L Yuan, FEH Tay, G Li, T Wang, J Feng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction
B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Revisit knowledge distillation: a teacher-free framework
L Yuan, FEH Tay, G Li, T Wang, J Feng
Dropnas: Grouped operation dropout for differentiable architecture search
W Hong, G Li, W Zhang, R Tang, Y Wang, Z Li, Y Yu
arXiv preprint arXiv:2201.11679, 2022
StacNAS: Towards stable and consistent optimization for differentiable neural architecture search
L Guilin, Z Xing, W Zitong, L Zhenguo, Z Tong
Residual distillation: Towards portable deep neural networks without shortcuts
G Li, J Zhang, Y Wang, C Liu, M Tan, Y Lin, W Zhang, J Feng, T Zhang
Advances in Neural Information Processing Systems 33, 8935-8946, 2020
Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function
G Li, M Hwai-yong Tan, S Hui Ng
IISE Transactions 51 (5), 517-530, 2019
Stacnas: Towards stable and consistent differentiable neural architecture search
G Li, X Zhang, Z Wang, Z Li, T Zhang
Computer Vision and Pattern Recognition (CVPR), 2019
Gaussian process modeling using the principle of superposition
MHY Tan, G Li
Technometrics 61 (2), 202-218, 2019
A multilevel zero-inflated model for the study of copper hillocks growth in integrated circuits manufacturing
G Li, KKR Tan, SH Ng, DHC Chua
IEEE Transactions on Semiconductor Manufacturing 31 (3), 385-394, 2018
Hurdle model with random effects for the study of copper hillocks growth in integrated circuits manufacturing
G Li, R Tan, SH Ng, D Chua
2015 IEEE International Conference on Industrial Engineering and Engineering …, 2015
Bayesian optimal designs for efficient estimation of the optimum point with generalised linear models
G Li, SH Ng, MH Tan
Quality Technology & Quantitative Management 17 (1), 89-107, 2020
ModularNAS: Towards Modularized and Reusable Neural Architecture Search
YY Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang ...
Proceedings of Machine Learning and Systems 3 (MLSys 2021), 2021
Uncertainty quantification in engineering optimization applications
G Li
PQDT-Global, 2017
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