A Wiener Causality Defined by Relative Entropy. - Junya Chen; Jianfeng Feng; Wenlian Lu (ICONIP (2), 2018)

Variational Annealing of GANs: A Langevin Perspective. - Chenyang Tao; Shuyang Dai; Liqun Chen 001; Ke Bai 001; Junya Chen; Chang Liu 030; Ruiyi Zhang 002; Georgiy V. Bobashev; Lawrence Carin (ICML, 2019)

On Fenchel Mini-Max Learning. - Chenyang Tao; Liqun Chen 001; Shuyang Dai; Junya Chen; Ke Bai 001; Dong Wang 037; Jianfeng Feng; Wenlian Lu; Georgiy V. Bobashev; Lawrence Carin (NeurIPS, 2019)

Reconsidering Generative Objectives For Counterfactual Reasoning. - Danni Lu; Chenyang Tao; Junya Chen; Fan Li; Feng Guo; Lawrence Carin (NeurIPS, 2020)

Supercharging Imbalanced Data Learning With Causal Representation Transfer. - Junya Chen; Zidi Xiu; Benjamin Alan Goldstein; Ricardo Henao; Lawrence Carin; Chenyang Tao (CoRR, 2020)

GO Hessian for Expectation-Based Objectives. - Yulai Cong; Miaoyun Zhao; Jianqiao Li; Junya Chen; Lawrence Carin (AAAI, 2021)

Multi-Grained Knowledge Distillation for Named Entity Recognition. - Xuan Zhou; Xiao Zhang; Chenyang Tao; Junya Chen; Bing Xu; Wei Wang; Jing Xiao 006 (NAACL-HLT, 2021)

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. - Junya Chen; Zidi Xiu; Benjamin Goldstein 001; Ricardo Henao; Lawrence Carin; Chenyang Tao (NeurIPS, 2021)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Lawrence Carin; Fan Li; 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 001; Shuyang Gao; Tagyoung Chung; Yi Xu 011; Belinda Zeng; Wenlian Lu; Fan Li; Lawrence Carin; et al. (CoRR, 2021)

Variational Inference with Holder Bounds. - Junya Chen; Danni Lu; Zidi Xiu; Ke Bai 001; Lawrence Carin; Chenyang Tao (CoRR, 2021)

Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. - Junya Chen; Sijia Wang; Lawrence Carin; Chenyang Tao (CoRR, 2021)

A Wiener Causality Defined by Divergence. - Junya Chen; Jianfeng Feng; Wenlian Lu (Neural Process. Lett., 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)

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Qing Guo; Junya Chen; Dong Wang 037; Yuewei Yang; Xinwei Deng; Jing Huang; Lawrence Carin; Fan Li; Chenyang Tao (NeurIPS, 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)

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, 2023)