Yunchen Pu

According to our database, Yunchen Pu authored at least 34 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Inclusive Design in the Context of Smart Community.

Dadi An, Xinhe Lu, Ge Song, Yongqi Wang, Yunchen Pu, Yuqin Chen

Proceedings of the Advances in Industrial Design, 2021

2020

Beyond Walking: Improving Urban Mobility Equity in the Age of Information.

Dadi An, Jiangchao Wang, Puxian Wang, Yuheng Yang, Yunchen Pu, Haorui Ke, Yuqin Chen

Proceedings of the Advances in Industrial Design, 2020

2019

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement.

Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Communication-Efficient Stochastic Gradient MCMC for Neural Networks.

Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Generative Models for Image Representation Learning.

Yunchen Pu

PhD thesis, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.

Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 35th International Conference on Machine Learning, 2018

Continuous-Time Flows for Efficient Inference and Density Estimation.

Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin

Proceedings of the 35th International Conference on Machine Learning, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.

Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Feature Abstraction for Translating Video to Text.

Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin

CoRR, 2017

Towards Understanding Adversarial Learning for Joint Distribution Matching.

Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

CoRR, 2017

Compressive Sensing via Convolutional Factor Analysis.

Xin Yuan, Yunchen Pu, Lawrence Carin

CoRR, 2017

Stein Variational Autoencoder.

Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin

CoRR, 2017

Adversarial Symmetric Variational Autoencoder.

Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

VAE Learning via Stein Variational Gradient Descent.

Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching.

Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Triangle Generative Adversarial Networks.

Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adaptive Feature Abstraction for Translating Video to Language.

Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

Proceedings of the 5th International Conference on Learning Representations, 2017

Convolutional factor analysis inspired compressive sensing.

Xin Yuan, Yunchen Pu

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Adaptive DCTNet for audio signal classification.

Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning Generic Sentence Representations Using Convolutional Neural Networks.

Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Compositional Networks for Visual Captioning.

Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis.

Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.

Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Deep Overcomplete Tensor Rank-Decompositions.

Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin

CoRR, 2016

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks.

Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin

CoRR, 2016

Variational Autoencoder for Deep Learning of Images, Labels and Captions.

Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification.

Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Deep Generative Deconvolutional Image Model.

Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

A Generative Model for Deep Convolutional Learning.

Yunchen Pu, Xin Yuan, Lawrence Carin

Proceedings of the 3rd International Conference on Learning Representations, 2015

2014

Bayesian Deep Deconvolutional Learning.

Yunchen Pu, Xin Yuan, Lawrence Carin

CoRR, 2014

2012

Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding.

Qiongcheng Xu, Wei Wang, Yunchen Pu, Huamin Zhong

Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

Image Change Detection Based on the Minimum Mean Square Error.

Yunchen Pu, Wei Wang, Qiongcheng Xu

Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012