Junya Chen

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Variational Inference

Named Entity Recognition

Mutual Information

Top Venues

Wirel. Commun. Mob. Comput.

Publications

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 (2023)
Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR (2022)
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)
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS (2021)
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 (2021)
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 (2021)
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 (2021)
Junya Chen, Jianfeng Feng, Wenlian Lu
A Wiener Causality Defined by Divergence. Neural Process. Lett. 53 (3) (2021)
Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR (2021)
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
Variational Inference with Holder Bounds. CoRR (2021)
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)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. AAAI (2021)
Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin
Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. CoRR (2020)
Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR (2020)
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)
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)
Junya Chen, Jianfeng Feng, Wenlian Lu
A Wiener Causality Defined by Relative Entropy. ICONIP (2) (2018)