Jianfei Chen
Jianfei Chen
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Stochastic Training of Graph Convolutional Networks with Variance Reduction.
J Chen, J Zhu, L Song
ICML, 941-949, 2018
1212018
Topicpanorama: a full picture of relevant topics
S Liu, X Wang, J Chen, J Zhu, B Guo
IEEE Transactions on Visualization and Computer Graphics 20, 12, 2014
922014
Scalable inference for logistic-normal topic models
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
Advances in Neural Information Processing Systems, 2445-2453, 2013
792013
Warplda: a cache efficient o (1) algorithm for latent dirichlet allocation
J Chen, K Li, J Zhu, W Chen
arXiv preprint arXiv:1510.08628, 2015
592015
Big learning with Bayesian methods
J Zhu, J Chen, W Hu, B Zhang
National Science Review 4 (4), 627-651, 2017
582017
Scaling up dynamic topic models
A Bhadury, J Chen, J Zhu, S Liu
Proceedings of the 25th International Conference on World Wide Web, 381-390, 2016
472016
Dropout Training for Support Vector Machines.
N Chen, J Zhu, J Chen, B Zhang
AAAI, 1752-1759, 2014
362014
TopicPanorama: A full picture of relevant topics
X Wang, S Liu, J Liu, J Chen, J Zhu, B Guo
IEEE transactions on visualization and computer graphics 22 (12), 2508-2521, 2016
352016
Zhusuan: A library for bayesian deep learning
J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou
arXiv preprint arXiv:1709.05870, 2017
292017
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs
K Li, J Chen, W Chen, J Zhu
Proceedings of the Twenty-Second International Conference on Architectural …, 2017
172017
Bayesian Max-margin Multi-Task Learning with Data Augmentation
C Li, J Zhu, J Chen
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
152014
Stochastic Expectation Maximization with Variance Reduction
J Chen, J Zhu, YW Teh, T Zhang
Advances in Neural Information Processing Systems, 7978-7988, 2018
142018
Distributing the stochastic gradient sampler for large-scale lda
Y Yang, J Chen, J Zhu
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
142016
Streaming gibbs sampling for LDA model
Y Gao, J Chen, J Zhu
arXiv preprint arXiv:1601.01142, 2016
122016
Scalable training of hierarchical topic models
J Chen, J Zhu, J Lu, S Liu
Proceedings of the VLDB Endowment 11 (7), 826-839, 2018
112018
Dropout training for SVMs with data augmentation
N Chen, J Zhu, J Chen, T Chen
Frontiers of Computer Science, 1-20, 2015
52015
VFlow: More Expressive Generative Flows with Variational Data Augmentation
J Chen, C Lu, B Chenli, J Zhu, T Tian
arXiv preprint arXiv:2002.09741, 2020
42020
Population matching discrepancy and applications in deep learning
J Chen, LI Chongxuan, Y Ru, J Zhu
Advances in Neural Information Processing Systems, 6262-6272, 2017
22017
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs
K Li, J Chen, W Chen, J Zhu
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2112-2124, 2020
2020
Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems
Z Xiao, J Chen, J Zhu
arXiv preprint arXiv:1804.03578, 2018
2018
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