Guilin Li

According to our database, Guilin Li authored at least 12 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection.

Ze-Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang

CoRR, 2023

2022

CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems.

Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ModularNAS: Towards Modularized and Reusable Neural Architecture Search.

Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts.

Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.

Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.

Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Revisiting Knowledge Distillation via Label Smoothing Regularization.

Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Gaussian Process Modeling Using the Principle of Superposition.

Matthias H. Y. Tan, Guilin Li

Technometrics, 2019

Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function.

Guilin Li, Matthias Hwai Yong Tan, Szu Hui Ng

IISE Trans., 2019

StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search.

Guilin Li, Xing Zhang, Zitong Wang, Zhenguo Li, Tong Zhang

CoRR, 2019

Revisit Knowledge Distillation: a Teacher-free Framework.

Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng

CoRR, 2019

2015

Hurdle model with random effects for the study of copper hillocks growth in integrated circuits manufacturing.

Guilin Li, Royston Tan, Szu Hui Ng, Daniel Chua

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015