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2020 – today
- 2023
[j3]Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
:
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023)- 2022
- [c8]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS 2022 - [i7]Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao:
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR abs/2210.05751 (2022) - 2021
- [j2]Junya Chen, Jianfeng Feng, Wenlian Lu:
A Wiener Causality Defined by Divergence. Neural Process. Lett. 53(3): 1773-1794 (2021) - [j1]Lan Sun, Jinxin Hong, Junya Chen, Jianping Cai, Yilei Wang:
Equation Chapter 1 Section 1 Differentially Private High-Dimensional Binary Data Publication via Adaptive Bayesian Network. Wirel. Commun. Mob. Comput. 2021: 8693978:1-8693978:11 (2021) - [c7]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. AAAI 2021: 12060-12068 - [c6]Xuan Zhou, Xiao Zhang, Chenyang Tao, Junya Chen, Bing Xu, Wei Wang, Jing Xiao:
Multi-Grained Knowledge Distillation for Named Entity Recognition. NAACL-HLT 2021: 5704-5716 - [c5]Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS 2021: 21229-21243 - [i6]Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR abs/2107.01131 (2021) - [i5]Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao:
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR abs/2107.01152 (2021) - [i4]Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao:
Variational Inference with Holder Bounds. CoRR abs/2111.02947 (2021) - [i3]Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao:
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR abs/2111.02949 (2021) - 2020
- [c4]Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin:
Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS 2020 - [i2]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. CoRR abs/2006.08873 (2020) - [i1]Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR abs/2011.12454 (2020)
2010 – 2019
- 2019
- [c3]Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin:
Variational Annealing of GANs: A Langevin Perspective. ICML 2019: 6176-6185 - [c2]Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin:
On Fenchel Mini-Max Learning. NeurIPS 2019: 10427-10439 - 2018
- [c1]Junya Chen, Jianfeng Feng, Wenlian Lu:
A Wiener Causality Defined by Relative Entropy. ICONIP (2) 2018: 124-133
Coauthor Index
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