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Yunchen Pu
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2020 – today
- 2021
- [c26]Dadi An, Xinhe Lu, Ge Song, Yongqi Wang, Yunchen Pu, Yuqin Chen:
Inclusive Design in the Context of Smart Community. AHFE (2) 2021: 473-479 - 2020
- [c25]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: 204-209
2010 – 2019
- 2019
- [c24]Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin:
Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI 2019: 4173-4180 - [c23]Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos:
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. ICCV 2019: 4058-4068 - 2018
- [b1]Yunchen Pu:
Deep Generative Models for Image Representation Learning. Duke University, Durham, NC, USA, 2018 - [c22]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: 4211-4218 - [c21]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Text. AAAI 2018: 7284-7291 - [c20]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: 661-669 - [c19]Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin:
Continuous-Time Flows for Efficient Inference and Density Estimation. ICML 2018: 823-832 - [c18]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: 4148-4157 - [i17]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 abs/1806.02978 (2018) - 2017
- [c17]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: 321-331 - [c16]Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin:
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. AISTATS 2017: 121-129 - [c15]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - [c14]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP 2017: 2390-2400 - [c13]Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson:
Adaptive DCTNet for audio signal classification. ICASSP 2017: 3999-4003 - [c12]Xin Yuan, Yunchen Pu:
Convolutional factor analysis inspired compressive sensing. ICIP 2017: 550-554 - [c11]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) 2017 - [c10]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
VAE Learning via Stein Variational Gradient Descent. NIPS 2017: 4236-4245 - [c9]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. NIPS 2017: 4330-4339 - [c8]Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin:
Triangle Generative Adversarial Networks. NIPS 2017: 5247-5256 - [c7]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: 5495-5503 - [i16]Xin Yuan, Yunchen Pu, Lawrence Carin:
Compressive Sensing via Convolutional Factor Analysis. CoRR abs/1701.03006 (2017) - [i15]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
Stein Variational Autoencoder. CoRR abs/1704.05155 (2017) - [i14]Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin:
Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR abs/1709.01215 (2017) - [i13]Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin:
Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR abs/1709.01846 (2017) - [i12]Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin:
Triangle Generative Adversarial Networks. CoRR abs/1709.06548 (2017) - [i11]Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin:
Adversarial Symmetric Variational Autoencoder. CoRR abs/1711.04915 (2017) - [i10]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 abs/1711.05820 (2017) - 2016
- [c6]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. AISTATS 2016: 741-750 - [c5]Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin:
Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR 2016: 5666-5675 - [c4]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: 2352-2360 - [i9]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 abs/1609.08976 (2016) - [i8]Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin:
Adaptive Feature Abstraction for Translating Video to Language. CoRR abs/1611.07837 (2016) - [i7]Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin:
Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR abs/1611.07897 (2016) - [i6]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - [i5]Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR abs/1611.08034 (2016) - [i4]Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin:
Deep Overcomplete Tensor Rank-Decompositions. CoRR abs/1612.02842 (2016) - [i3]Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson:
Adaptive DCTNet for Audio Signal Classification. CoRR abs/1612.04028 (2016) - 2015
- [c3]Yunchen Pu, Xin Yuan, Lawrence Carin:
A Generative Model for Deep Convolutional Learning. ICLR (Workshop) 2015 - [i2]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. CoRR abs/1512.07344 (2015) - 2014
- [i1]Yunchen Pu, Xin Yuan, Lawrence Carin:
Bayesian Deep Deconvolutional Learning. CoRR abs/1412.6039 (2014) - 2012
- [c2]Yunchen Pu, Wei Wang, Qiongcheng Xu:
Image Change Detection Based on the Minimum Mean Square Error. CSO 2012: 367-371 - [c1]Qiongcheng Xu, Wei Wang, Yunchen Pu, Huamin Zhong:
Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding. CSO 2012: 375-379
Coauthor Index
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