Yunchen Pu

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 40

Top Topics

Unsupervised Learning

Factor Analysis

Compressive Sensing

Joint Distribution

Top Venues

Publications

Dadi An, Xinhe Lu, Ge Song, Yongqi Wang, Yunchen Pu, Yuqin Chen
Inclusive Design in the Context of Smart Community. AHFE (2) (2021)
Dadi An, Jiangchao Wang, Puxian Wang, Yuheng Yang, Yunchen Pu, Haorui Ke, Yuqin Chen
Beyond Walking: Improving Urban Mobility Equity in the Age of Information. AHFE (2) (2020)
Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI (2019)
Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. ICCV (2019)
Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
Continuous-Time Flows for Efficient Inference and Density Estimation. ICML (2018)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML (2018)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR (2018)
Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS (2018)
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
Adaptive Feature Abstraction for Translating Video to Text. AAAI (2018)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI (2018)
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) (2017)
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) (2017)
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
Adversarial Symmetric Variational Autoencoder. NIPS (2017)
Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
Semantic Compositional Networks for Visual Captioning. CVPR (2017)
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR (2017)
Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson
Adaptive DCTNet for audio signal classification. ICASSP (2017)
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
Adversarial Symmetric Variational Autoencoder. CoRR (2017)
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS (2017)
Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. AISTATS (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. CoRR (2017)
Xin Yuan, Yunchen Pu
Convolutional factor analysis inspired compressive sensing. ICIP (2017)
Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
VAE Learning via Stein Variational Gradient Descent. NIPS (2017)
Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
Stein Variational Autoencoder. CoRR (2017)
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
Triangle Generative Adversarial Networks. NIPS (2017)
Xin Yuan, Yunchen Pu, Lawrence Carin
Compressive Sensing via Convolutional Factor Analysis. CoRR (2017)
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP (2017)
Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin
Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR (2017)
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR (2016)
Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson
Adaptive DCTNet for Audio Signal Classification. CoRR (2016)
Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
A Deep Generative Deconvolutional Image Model. AISTATS (2016)
Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
Variational Autoencoder for Deep Learning of Images, Labels and Captions. CoRR (2016)
Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR (2016)
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
Adaptive Feature Abstraction for Translating Video to Language. CoRR (2016)
Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
Semantic Compositional Networks for Visual Captioning. CoRR (2016)
Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
Deep Overcomplete Tensor Rank-Decompositions. CoRR (2016)
Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
Variational Autoencoder for Deep Learning of Images, Labels and Captions. NIPS (2016)
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR (2016)
Yunchen Pu, Xin Yuan, Lawrence Carin
A Generative Model for Deep Convolutional Learning. ICLR (Workshop) (2015)
Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
A Deep Generative Deconvolutional Image Model. CoRR (2015)
Yunchen Pu, Xin Yuan, Lawrence Carin
Bayesian Deep Deconvolutional Learning. CoRR (2014)
Qiongcheng Xu, Wei Wang, Yunchen Pu, Huamin Zhong
Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding. CSO (2012)
Yunchen Pu, Wei Wang, Qiongcheng Xu
Image Change Detection Based on the Minimum Mean Square Error. CSO (2012)