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Si Si
Si Si
Google Research
Dirección de correo verificada de google.com
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Citado por
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Año
Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks
WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
12402019
Bregman divergence-based regularization for transfer subspace learning
S Si, D Tao, B Geng
IEEE Transactions on Knowledge and Data Engineering 22 (7), 929-942, 2009
5162009
Scalable coordinate descent approaches to parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, I Dhillon
Data Mining (ICDM), 2012 IEEE 12th International Conference on, 765-774, 2012
3402012
A Divide-and-Conquer Solver for Kernel Support Vector Machines
CJ Hsieh, S Si, IS Dhillon
Proceedings of The 31st International Conference on Machine Learning, 566-574, 2014
2142014
Memory efficient kernel approximation
S Si, CJ Hsieh, IS Dhillon
Journal of Machine Learning Research 18 (20), 1-32, 2017
1982017
Parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, IS Dhillon
Knowledge and Information Systems 41, 793-819, 2014
1742014
Gradient boosted decision trees for high dimensional sparse output
S Si, H Zhang, SS Keerthi, D Mahajan, IS Dhillon, CJ Hsieh
International conference on machine learning, 3182-3190, 2017
1492017
Neural sde: Stabilizing neural ode networks with stochastic noise
X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh
arXiv preprint arXiv:1906.02355, 2019
992019
Robustness verification of tree-based models
H Chen, H Zhang, S Si, Y Li, D Boning, CJ Hsieh
Advances in Neural Information Processing Systems 32, 2019
942019
You look twice: Gaternet for dynamic filter selection in cnns
Z Chen, Y Li, S Bengio, S Si
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
902019
A unified framework for data poisoning attack to graph-based semi-supervised learning
X Liu, S Si, X Zhu, Y Li, CJ Hsieh
arXiv preprint arXiv:1910.14147, 2019
892019
GPU-acceleration for Large-scale Tree Boosting
H Zhang, S Si, CJ Hsieh
arXiv preprint arXiv:1706.08359, 2017
722017
Fast prediction for large-scale kernel machines
CJ Hsieh, S Si, IS Dhillon
Advances in Neural Information Processing Systems 27, 2014
702014
Goal-directed inductive matrix completion
S Si, KY Chiang, CJ Hsieh, N Rao, IS Dhillon
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
602016
Scaling up dataset distillation to imagenet-1k with constant memory
J Cui, R Wang, S Si, CJ Hsieh
International Conference on Machine Learning, 6565-6590, 2023
592023
Learnable fourier features for multi-dimensional spatial positional encoding
Y Li, S Si, G Li, CJ Hsieh, S Bengio
Advances in Neural Information Processing Systems 34, 15816-15829, 2021
512021
How does noise help robustness? explanation and exploration under the neural sde framework
X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
512020
DC-BENCH: Dataset condensation benchmark
J Cui, R Wang, S Si, CJ Hsieh
Advances in Neural Information Processing Systems 35, 810-822, 2022
502022
Groupreduce: Block-wise low-rank approximation for neural language model shrinking
P Chen, S Si, Y Li, C Chelba, CJ Hsieh
Advances in Neural Information Processing Systems 31, 2018
452018
Multi-scale link prediction
D Shin, S Si, IS Dhillon
Proceedings of the 21st ACM international conference on Information and …, 2012
392012
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