Junya Chen

According to our database, Junya Chen authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Enhancing early autism prediction based on electronic records using clinical narratives.

Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson

J. Biomed. Informatics, August, 2023

2022

Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks.

Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao

CoRR, 2022

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Equation Chapter 1 Section 1 Differentially Private High-Dimensional Binary Data Publication via Adaptive Bayesian Network.

Lan Sun, Jinxin Hong, Junya Chen, Jianping Cai, Yilei Wang

Wirel. Commun. Mob. Comput., 2021

A Wiener Causality Defined by Divergence.

Junya Chen, Jianfeng Feng, Wenlian Lu

Neural Process. Lett., 2021

Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping.

Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao

CoRR, 2021

Variational Inference with Holder Bounds.

Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao

CoRR, 2021

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE.

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

CoRR, 2021

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization.

Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao

CoRR, 2021

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer.

Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Grained Knowledge Distillation for Named Entity Recognition.

Xuan Zhou, Xiao Zhang, Chenyang Tao, Junya Chen, Bing Xu, Wei Wang, Jing Xiao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GO Hessian for Expectation-Based Objectives.

Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Supercharging Imbalanced Data Learning With Causal Representation Transfer.

Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao

CoRR, 2020

Reconsidering Generative Objectives For Counterfactual Reasoning.

Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On Fenchel Mini-Max Learning.

Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Annealing of GANs: A Langevin Perspective.

Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Wiener Causality Defined by Relative Entropy.

Junya Chen, Jianfeng Feng, Wenlian Lu

Proceedings of the Neural Information Processing - 25th International Conference, 2018