Yunchen Pu - RankMe

46 papers A* 9A 3B 2Misc 1Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation. EDBT Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun
2025	J	`jnl`	How Depth of Field in Screen Images Affects Egocentric Distance Perception. Int. J. Hum. Comput. Interact. Yunchen Pu, Dadi An
2021	—	`conf`	Inclusive Design in the Context of Smart Community. AHFE (2) Dadi An, Xinhe Lu, Ge Song, Yongqi Wang, Yunchen Pu, Yuqin Chen
2020	—	`conf`	Beyond Walking: Improving Urban Mobility Equity in the Age of Information. AHFE (2) Dadi An, Jiangchao Wang, Puxian Wang, Yuheng Yang, Yunchen Pu, Haorui Ke, Yuqin Chen
2019	A*	`conf`	Communication-Efficient Stochastic Gradient MCMC for Neural Networks. AAAI Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin
2019	A*	`conf`	lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. ICCV Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos
2018	A*	`conf`	Adaptive Feature Abstraction for Translating Video to Text. AAAI Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2018	A*	`conf`	Continuous-Time Flows for Efficient Inference and Density Estimation. ICML Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin
2018	—	`—`	Deep Generative Models for Image Representation Learning. Yunchen Pu
2018	A*	`conf`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
2018	A	`conf`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
2018	A*	`conf`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2017	—	`conf`	ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. NIPS Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	Misc	`conf`	Adaptive DCTNet for audio signal classification. ICASSP Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson
2017	—	`conf`	Adaptive Feature Abstraction for Translating Video to Language. ICLR (Workshop) Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2017	—	`conf`	Adversarial Symmetric Variational Autoencoder. NIPS Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017	J	`jnl`	Adversarial Symmetric Variational Autoencoder. CoRR Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin
2017	J	`jnl`	Compressive Sensing via Convolutional Factor Analysis. CoRR Xin Yuan, Yunchen Pu, Lawrence Carin
2017	B	`conf`	Convolutional factor analysis inspired compressive sensing. ICIP Xin Yuan, Yunchen Pu
2017	A*	`conf`	Learning Generic Sentence Representations Using Convolutional Neural Networks. EMNLP Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2017	—	`conf`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2017	A*	`conf`	Semantic Compositional Networks for Visual Captioning. CVPR Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
2017	J	`jnl`	Stein Variational Autoencoder. CoRR Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2017	J	`jnl`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. CoRR Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin
2017	A	`conf`	Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. AISTATS Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
2017	J	`jnl`	Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
2017	—	`conf`	Triangle Generative Adversarial Networks. NIPS Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017	J	`jnl`	Triangle Generative Adversarial Networks. CoRR Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin
2017	—	`conf`	VAE Learning via Stein Variational Gradient Descent. NIPS Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin
2017	J	`jnl`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2016	A	`conf`	A Deep Generative Deconvolutional Image Model. AISTATS Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2016	J	`jnl`	Adaptive DCTNet for Audio Signal Classification. CoRR Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson
2016	J	`jnl`	Adaptive Feature Abstraction for Translating Video to Language. CoRR Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin
2016	J	`jnl`	Deep Overcomplete Tensor Rank-Decompositions. CoRR Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin
2016	A*	`conf`	Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. CVPR Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin
2016	J	`jnl`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2016	J	`jnl`	Semantic Compositional Networks for Visual Captioning. CoRR Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
2016	J	`jnl`	Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin
2016	—	`conf`	Variational Autoencoder for Deep Learning of Images, Labels and Captions. NIPS Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2016	J	`jnl`	Variational Autoencoder for Deep Learning of Images, Labels and Captions. CoRR Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin
2015	J	`jnl`	A Deep Generative Deconvolutional Image Model. CoRR Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin
2015	—	`conf`	A Generative Model for Deep Convolutional Learning. ICLR (Workshop) Yunchen Pu, Xin Yuan, Lawrence Carin
2014	J	`jnl`	Bayesian Deep Deconvolutional Learning. CoRR Yunchen Pu, Xin Yuan, Lawrence Carin
2012	—	`conf`	Image Change Detection Based on the Minimum Mean Square Error. CSO Yunchen Pu, Wei Wang, Qiongcheng Xu
2012	—	`conf`	Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding. CSO Qiongcheng Xu, Wei Wang, Yunchen Pu, Huamin Zhong