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Guolin Ke
Guolin Ke
DP Technology
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Title
Cited by
Cited by
Year
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu
Advances in Neural Information Processing Systems, 3148-3156, 2017
93422017
Do transformers really perform badly for graph representation?
C Ying, T Cai, S Luo, S Zheng, G Ke, D He, Y Shen, TY Liu
Advances in Neural Information Processing Systems 34, 28877-28888, 2021
5432021
Deep subdomain adaptation network for image classification
Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He
IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020
4452020
Rethinking Positional Encoding in Language Pre-training
G Ke, D He, TY Liu
International Conference on Learning Representations (ICLR) 2021, 2020
1902020
Invertible image rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1692020
A communication-efficient parallel algorithm for decision tree
Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
Advances in Neural Information Processing Systems, 1279-1287, 2016
1312016
DeepGBM: A deep learning framework distilled by GBDT for online prediction tasks
G Ke, Z Xu, J Zhang, J Bian, TY Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1182019
Less is more: Pretrain a strong Siamese encoder for dense text retrieval using a weak decoder
S Lu, D He, C Xiong, G Ke, W Malik, Z Dou, P Bennett, TY Liu, A Overwijk
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
75*2021
How could neural networks understand programs?
D Peng, S Zheng, Y Li, G Ke, D He, TY Liu
International Conference on Machine Learning, 8476-8486, 2021
452021
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
G Zhou, Z Gao, Q Ding, H Zheng, H Xu, Z Wei, L Zhang, G Ke
International Conference on Learning Representations, 2023
382023
Stable, fast and accurate: Kernelized attention with relative positional encoding
S Luo, S Li, T Cai, D He, D Peng, S Zheng, G Ke, L Wang, TY Liu
Advances in Neural Information Processing Systems 34, 22795-22807, 2021
282021
TabNN: A universal neural network solution for tabular data
G Ke, J Zhang, Z Xu, J Bian, TY Liu
28*2018
Benchmarking graphormer on large-scale molecular modeling datasets
Y Shi, S Zheng, G Ke, Y Shen, J You, J He, S Luo, C Liu, D He, TY Liu
arXiv preprint arXiv:2203.04810, 2022
242022
Metro: Efficient denoising pretraining of large scale autoencoding language models with model generated signals
P Bajaj, C Xiong, G Ke, X Liu, D He, S Tiwary, TY Liu, P Bennett, X Song, ...
arXiv preprint arXiv:2204.06644, 2022
222022
Uni-Fold: an open-source platform for developing protein folding models beyond AlphaFold
Z Li, X Liu, W Chen, F Shen, H Bi, G Ke, L Zhang
bioRxiv, 2022.08. 04.502811, 2022
212022
Transformers with competitive ensembles of independent mechanisms
A Lamb, D He, A Goyal, G Ke, CF Liao, M Ravanelli, Y Bengio
arXiv preprint arXiv:2103.00336, 2021
192021
Taking notes on the fly helps language pre-training
Q Wu, C Xing, Y Li, G Ke, D He, TY Liu
International Conference on Learning Representations, 2020
18*2020
Lightgbm: Light gradient boosting machine
G Ke, D Soukhavong, J Lamb, Q Meng, T Finley, T Wang, W Chen, W Ma, ...
R package version 3 (1.99), 2021
162021
Mc-bert: Efficient language pre-training via a meta controller
Z Xu, L Gong, G Ke, D He, S Zheng, L Wang, J Bian, TY Liu
arXiv preprint arXiv:2006.05744, 2020
142020
Lazyformer: Self attention with lazy update
C Ying, G Ke, D He, TY Liu
arXiv preprint arXiv:2102.12702, 2021
92021
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