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Guilin Li
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Cited by
Year
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
5322020
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
1722020
Revisit knowledge distillation: a teacher-free framework
L Yuan, FEH Tay, G Li, T Wang, J Feng
852019
Dropnas: Grouped operation dropout for differentiable architecture search
W Hong, G Li, W Zhang, R Tang, Y Wang, Z Li, Y Yu
IJICAI, 2022
592022
StacNAS: Towards stable and consistent optimization for differentiable neural architecture search
L Guilin, Z Xing, W Zitong, L Zhenguo, Z Tong
342019
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
272020
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
92019
Gaussian process modeling using the principle of superposition
MHY Tan, G Li
Technometrics, 2018
72018
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
5*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
32018
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
32015
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
Y Tang, W Bai, G Li, X Liu, Y Zhang
Proceedings of the 31st ACM International Conference on Information …, 2022
22022
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
22020
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection
ZY Zhao, Z Zhu, G Li, W Wang, B Wang
arXiv preprint arXiv:2312.14406, 2023
2023
Recommendation method and apparatus based on automatic feature grouping
BLRTHGXLXHZ Li
US Patent 17964 117, 2023
2023
NEURAL ARCHITECTURE SEARCH METHOD, IMAGE PROCESSING METHOD AND APPARATUS, AND STORAGE MEDIUM
US Patent 17,704,551, 2022
2022
NEURAL NETWORK CONSTRUCTION METHOD AND SYSTEM
US Patent 17,990,125, 2021
2021
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
2021
Uncertainty quantification in engineering optimization applications
G Li
PQDT-Global, 2017
2017
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Articles 1–19