The Poisson Gamma Belief Network. - Mingyuan Zhou; Yulai Cong; Bo Chen 001 (NIPS, 2015)

Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning. - Danlei Xu; Lan Du 001; Hongwei Liu 001; Penghui Wang; Junkun Yan; Yulai Cong; Xun Han (IEEE Trans. Signal Process., 2015)

Augmentable Gamma Belief Networks. - Mingyuan Zhou; Yulai Cong; Bo Chen 001 (J. Mach. Learn. Res., 2016)

Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets. - Yulai Cong; Bo Chen 001; Hongwei Liu 001; Bo Jiu (IEEE Trans. Signal Process., 2016)

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. - Yulai Cong; Bo Chen 001; Hongwei Liu 001; Mingyuan Zhou (ICML, 2017)

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. - Miaoyun Zhao; Li Wang 026; Jiawei Chen 001; Dong Nie; Yulai Cong; Sahar Ahmad; Angela Ho; Peng Yuan 001; Steve H. Fung; Hannah H. Deng; James J. Xia; Dinggang Shen (MICCAI (4), 2018)

GO Gradient for Expectation-Based Objectives. - Yulai Cong; Miaoyun Zhao; Ke Bai 001; Lawrence Carin (ICLR (Poster), 2019)

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. - Miaoyun Zhao; Yulai Cong; Shuyang Dai; Lawrence Carin (AAAI, 2020)

On Leveraging Pretrained GANs for Generation with Limited Data. - Miaoyun Zhao; Yulai Cong; Lawrence Carin (ICML, 2020)

GAN Memory with No Forgetting. - Yulai Cong; Miaoyun Zhao; Jianqiao Li; Sijia Wang; Lawrence Carin (NeurIPS, 2020)

On Leveraging Pretrained GANs for Limited-Data Generation. - Miaoyun Zhao; Yulai Cong; Lawrence Carin (CoRR, 2020)

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

Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. - Hao Zhang 050; Bo Chen 001; Yulai Cong; Dandan Guo; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Big Learning: A Universal Machine Learning Paradigm? - Yulai Cong; Miaoyun Zhao (CoRR, 2022)

A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition. - Chuan Du; Yulai Cong; Lei Zhang 019; Dandan Guo; Song Wei (IEEE Trans. Inf. Forensics Secur., 2022)

Dynamic Task Subspace Ensemble for Class-Incremental Learning. - Weile Zhang; Yuanjian He; Yulai Cong (CICAI (2), 2023)

Deformable Scattering Feature Correlation Network for Aircraft Detection in SAR Images. - Yuanjia Chen; Yulai Cong; Lei Zhang 019 (IEEE Geosci. Remote. Sens. Lett., 2023)

Big Learning Expectation Maximization. - Yulai Cong; Sijia Li (AAAI, 2024)

Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations. - Yuanjian He; Weile Zhang; Junyuan Deng; Yulai Cong (MMM (3), 2024)

Big Cooperative Learning. - Yulai Cong (CoRR, 2024)

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. - Hao Zhang 050; Yulai Cong; Zhengjue Wang; Lei Zhang; Miaoyun Zhao; Liqun Chen 001; Shijing Si; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2024)