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Guolin Ke
Guolin Ke
DP Technology
Verified email at microsoft.com
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
49952017
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
1532020
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
1082021
Rethinking Positional Encoding in Language Pre-training
G Ke, D He, TY Liu
International Conference on Learning Representations (ICLR) 2021, 2020
922020
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
912016
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
79*2019
Invertible image rescaling
M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu
European Conference on Computer Vision, 126-144, 2020
752020
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
15*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
132021
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
112021
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
10*2020
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
102020
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
92021
First place solution of KDD Cup 2021 & OGB large-scale challenge graph prediction track
C Ying, M Yang, S Zheng, G Ke, S Luo, T Cai, C Wu, Y Wang, Y Shen, ...
arXiv preprint arXiv:2106.08279, 2021
52021
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
42022
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
22022
Awardee solution of kdd cup 2021 ogb large-scale challenge graph-level track
C Ying, M Yang, S Zheng, G Ke, S Luo, T Cai, C Wu, Y Wang, Y Shen, ...
arXiv e-prints, arXiv: 2106.08279, 2021
12021
Revisiting language encoding in learning multilingual representations
S Luo, K Gao, S Zheng, G Ke, D He, L Wang, TY Liu
arXiv preprint arXiv:2102.08357, 2021
12021
Light Multi-Segment Activation for Model Compression
Z Xu, G Ke, J Zhang, J Bian, TY Liu
AAAI, 6542-6549, 2020
12020
Lightmc: A dynamic and efficient multiclass decomposition algorithm
Z Liu, G Ke, J Bian, T Liu
arXiv preprint arXiv:1908.09362, 2019
12019
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Articles 1–20