Jianfei Chen
Jianfei Chen
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Cited by
Cited by
Stochastic Training of Graph Convolutional Networks with Variance Reduction.
J Chen, J Zhu, L Song
ICML, 941-949, 2018
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
Scalable inference for logistic-normal topic models
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
Advances in neural information processing systems 26, 2013
Big learning with Bayesian methods
J Zhu, J Chen, W Hu, B Zhang
National Science Review 4 (4), 627-651, 2017
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
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
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
Stochastic Expectation Maximization with Variance Reduction
J Chen, J Zhu, YW Teh, T Zhang
Advances in Neural Information Processing Systems, 7978-7988, 2018
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
Dropout Training for Support Vector Machines.
N Chen, J Zhu, J Chen, B Zhang
AAAI, 1752-1759, 2014
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
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
arXiv preprint arXiv:2206.00927, 2022
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
Implicit Normalizing Flows
C Lu, J Chen, C Li, Q Wang, J Zhu
ICLR, 2021
Scalable training of hierarchical topic models
J Chen, J Zhu, J Lu, S Liu
Proceedings of the VLDB Endowment 11 (7), 826-839, 2018
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
J Chen, L Zheng, Z Yao, D Wang, I Stoica, MW Mahoney, JE Gonzalez
International Conference on Machine Learning, 2021
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
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
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
Streaming Gibbs sampling for LDA model
Y Gao, J Chen, J Zhu
arXiv preprint arXiv:1601.01142, 2016
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