Yunchen Pu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EDBT | Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation. | 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 |
| 2026 | SIGIR | SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. | Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen |
| 2019 | AAAI | Communication-Efficient Stochastic Gradient MCMC for Neural Networks. | Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin |
| 2019 | ICCV | lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. | Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos |
| 2018 | AAAI | Adaptive Feature Abstraction for Translating Video to Text. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2018 | AAAI | 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 |
| 2018 | AISTATS | Symmetric Variational Autoencoder and Connections to Adversarial Learning. | Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin |
| 2018 | ICML | Continuous-Time Flows for Efficient Inference and Density Estimation. | Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin |
| 2018 | ICML | 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 |
| 2017 | ACL | Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. | Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin |
| 2017 | AISTATS | Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. | Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin |
| 2017 | CVPR | Semantic Compositional Networks for Visual Captioning. | Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng |
| 2017 | EMNLP | Learning Generic Sentence Representations Using Convolutional Neural Networks. | Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin |
| 2017 | ICASSP | Adaptive DCTNet for audio signal classification. | Yin Xian, Yunchen Pu, Zhe Gan, Liang Lu, Andrew Thompson |
| 2017 | ICIP | Convolutional factor analysis inspired compressive sensing. | Xin Yuan, Yunchen Pu |
| 2017 | ICLR | Adaptive Feature Abstraction for Translating Video to Language. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2016 | AISTATS | A Deep Generative Deconvolutional Image Model. | Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin |
| 2016 | CVPR | Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. | Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin |