Hurdle model with random effects for the study of copper hillocks growth in integrated circuits manufacturing. - Guilin Li 001; Royston Tan; Szu Hui Ng; Daniel Chua (IEEM, 2015)

Revisit Knowledge Distillation: a Teacher-free Framework. - Li Yuan 007; Francis E. H. Tay; Guilin Li 001; Tao Wang 053; Jiashi Feng (CoRR, 2019)

StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search. - Guilin Li 001; Xing Zhang; Zitong Wang; Zhenguo Li; Tong Zhang 001 (CoRR, 2019)

Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. - Guilin Li 001; Matthias Hwai Yong Tan; Szu Hui Ng (IISE Trans., 2019)

Gaussian Process Modeling Using the Principle of Superposition. - Matthias H. Y. Tan; Guilin Li 001 (Technometrics, 2019)

Revisiting Knowledge Distillation via Label Smoothing Regularization. - Li Yuan 007; Francis E. H. Tay; Guilin Li 001; Tao Wang 053; Jiashi Feng (CVPR, 2020)

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. - Weijun Hong; Guilin Li 001; Weinan Zhang 001; Ruiming Tang; Yunhe Wang 001; Zhenguo Li; Yong Yu 001 (IJCAI, 2020)

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. - Bin Liu 072; Chenxu Zhu; Guilin Li 001; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (KDD, 2020)

Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. - Guilin Li 001; Junlei Zhang; Yunhe Wang 001; Chuanjian Liu; Matthias Tan; Yunfeng Lin; Wei Zhang 196; Jiashi Feng; Tong Zhang 001 (NeurIPS, 2020)

ModularNAS: Towards Modularized and Reusable Neural Architecture Search. - Yunfeng Lin; Guilin Li 001; Xing Zhang; Weinan Zhang 001; Bo Chen 023; Ruiming Tang; Zhenguo Li; Jiashi Feng; Yong Yu 001 (MLSys, 2021)

CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. - Yongxiang Tang; Wentao Bai; Guilin Li 001; Xialong Liu; Yu Zhang (CIKM, 2022)

Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection. - Ze-Yu Zhao; Zheng Zhu; Guilin Li 001; Wenhan Wang; Bo Wang (CoRR, 2023)