| 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 | 642 | 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 | 198 | 2020 |
| Revisit knowledge distillation: a teacher-free framework L Yuan, FEH Tay, G Li, T Wang, J Feng | 93 | 2019 |
| Dropnas: Grouped operation dropout for differentiable architecture search W Hong, G Li, W Zhang, R Tang, Y Wang, Z Li, Y Yu IJICAI, 2022 | 66 | 2022 |
| 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 | 36 | 2020 |
| StacNAS: Towards stable and consistent optimization for differentiable neural architecture search L Guilin, Z Xing, W Zitong, L Zhenguo, Z Tong | 35 | 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 | 9 | 2019 |
| Gaussian process modeling using the principle of superposition MHY Tan, G Li Technometrics, 2019 | 8 | 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 | 6* | 2019 |
| 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 | 3 | 2022 |
| 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 | 3 | 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 | 3 | 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 | 2 | 2020 |
| 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 | 1 | 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 |
Jiashi FengByteDance Inc.確認したメール アドレス: bytedance.com
