Jianfei Chen
Jianfei Chen
在 mail.tsinghua.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Stochastic Training of Graph Convolutional Networks with Variance Reduction.
J Chen, J Zhu, L Song
ICML, 941-949, 2018
1892018
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
982014
Scalable Inference for Logistic-Normal Topic Models.
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
NIPS, 2445-2453, 2013
832013
Big learning with Bayesian methods
J Zhu, J Chen, W Hu, B Zhang
National Science Review 4 (4), 627-651, 2017
642017
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
642015
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
542016
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
432016
Dropout Training for Support Vector Machines.
N Chen, J Zhu, J Chen, B Zhang
AAAI, 1752-1759, 2014
362014
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
322017
Stochastic Expectation Maximization with Variance Reduction
J Chen, J Zhu, YW Teh, T Zhang
Advances in Neural Information Processing Systems, 7978-7988, 2018
262018
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
162014
Scalable training of hierarchical topic models
J Chen, J Zhu, J Lu, S Liu
Proceedings of the VLDB Endowment 11 (7), 826-839, 2018
152018
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
152016
Vflow: More expressive generative flows with variational data augmentation
J Chen, C Lu, B Chenli, J Zhu, T Tian
International Conference on Machine Learning, 1660-1669, 2020
142020
Streaming Gibbs sampling for LDA model
Y Gao, J Chen, J Zhu
arXiv preprint arXiv:1601.01142, 2016
132016
Dropout training for SVMs with data augmentation
N Chen, J Zhu, J Chen, T Chen
Frontiers of Computer Science, 1-20, 2015
62015
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud
MH Ng, K Radia, J Chen, D Wang, I Gog, JE Gonzalez
arXiv preprint arXiv:2006.11436, 2020
32020
Population matching discrepancy and applications in deep learning
J Chen, C Li, Y Ru, J Zhu
Proceedings of the 31st International Conference on Neural Information …, 2017
32017
Implicit Normalizing Flows
C Lu, J Chen, C Li, Q Wang, J Zhu
arXiv preprint arXiv:2103.09527, 2021
22021
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