Yunchen Pu - researchr alias

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Viewing Publication 1 - 26 from 26

2021

Inclusive Design in the Context of Smart CommunityDadi An, Xinhe Lu, Ge Song, Yongqi Wang, Yunchen Pu, Yuqin Chen. ahfe 2021: 473-479 [doi]

2020

Beyond Walking: Improving Urban Mobility Equity in the Age of InformationDadi An, Jiangchao Wang, Puxian Wang, Yuheng Yang, Yunchen Pu, Haorui Ke, Yuqin Chen. ahfe 2020: 204-209 [doi]

2019

Communication-Efficient Stochastic Gradient MCMC for Neural NetworksChunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin. AAAI 2019: 4173-4180 [doi]

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot MeasurementXin Miao, Xin Yuan 0002, Yunchen Pu, Vassilis Athitsos. iccv 2019: 4058-4068 [doi]

2018

Continuous-Time Flows for Efficient Inference and Density EstimationChangyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin. icml 2018: 823-832 [doi]

Symmetric Variational Autoencoder and Connections to Adversarial LearningLiqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin. aistats 2018: 661-669 [doi]

Deep Generative Models for Image Representation LearningYunchen Pu. PhD thesis, Duke University, Durham, NC, USA, 2018. [doi]

Adaptive Feature Abstraction for Translating Video to TextYunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin. AAAI 2018: 7284-7291 [doi]

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial NetsYunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin. icml 2018: 4148-4157 [doi]

Zero-Shot Learning via Class-Conditioned Deep Generative ModelsWenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin. AAAI 2018: 4211-4218 [doi]

2017

Semantic Compositional Networks for Visual CaptioningZhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng. cvpr 2017: 1141-1150 [doi]

Scalable Bayesian Learning of Recurrent Neural Networks for Language ModelingZhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin. acl 2017: 321-331 [doi]

Learning Generic Sentence Representations Using Convolutional Neural NetworksZhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin. emnlp 2017: 2380-2390 [doi]

Triangle Generative Adversarial NetworksZhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin. nips 2017: 5253-5262 [doi]

ALICE: Towards Understanding Adversarial Learning for Joint Distribution MatchingChunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin. nips 2017: 5501-5509 [doi]

Adaptive Feature Abstraction for Translating Video to LanguageYunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin. iclr 2017: [doi]

VAE Learning via Stein Variational Gradient DescentYunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin. nips 2017: 4239-4248 [doi]

Adversarial Symmetric Variational AutoencoderYunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin. nips 2017: 4333-4342 [doi]

Tensor-Dictionary Learning with Deep Kruskal-Factor AnalysisAndrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin. aistats 2017: 121-129 [doi]

Adaptive DCTNet for audio signal classificationYin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson. icassp 2017: 3999-4003 [doi]

Convolutional factor analysis inspired compressive sensingXin Yuan, Yunchen Pu. icip 2017: 550-554 [doi]

2016

2012

Image Change Detection Based on the Minimum Mean Square ErrorYunchen Pu, Wei Wang, Qiongcheng Xu. cso 2012: 367-371 [doi]

Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of ThresholdingQiongcheng Xu, Wei Wang, Yunchen Pu, Huamin Zhong. cso 2012: 375-379 [doi]

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2012

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