Yulai Cong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Incremental Learning

Nonparametric Bayesian

Text Generation

Top Venues

IEEE Trans. Signal Process.

Publications

Yulai Cong, Sijia Li
Big Learning Expectation Maximization. AAAI (2024)
Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Yuanjian He, Weile Zhang, Junyuan Deng, Yulai Cong
Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations. MMM (3) (2024)
Yulai Cong
Big Cooperative Learning. CoRR (2024)
Weile Zhang, Yuanjian He, Yulai Cong
Dynamic Task Subspace Ensemble for Class-Incremental Learning. CICAI (2) (2023)
Yulai Cong, Sijia Li
Big Learning Expectation Maximization. CoRR (2023)
Yuanjia Chen, Yulai Cong, Lei Zhang
Deformable Scattering Feature Correlation Network for Aircraft Detection in SAR Images. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Yulai Cong, Miaoyun Zhao
Big Learning: A Universal Machine Learning Paradigm? CoRR (2022)
Chuan Du, Yulai Cong, Lei Zhang, Dandan Guo, Song Wei
A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. AAAI (2021)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin
GO Hessian for Expectation-Based Objectives. CoRR (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
GAN Memory with No Forgetting. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Lawrence Carin
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Lawrence Carin
On Leveraging Pretrained GANs for Generation with Limited Data. ICML (2020)
Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference. CoRR (2020)
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI (2020)
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR (2020)
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin
GAN Memory with No Forgetting. NeurIPS (2020)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. ICLR (Poster) (2019)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. CoRR (2019)
Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) (2018)
Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. ICML (2017)
Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. CoRR (2017)
Mingyuan Zhou, Yulai Cong, Bo Chen
Augmentable Gamma Belief Networks. J. Mach. Learn. Res. 17 (2016)
Yulai Cong, Bo Chen, Hongwei Liu, Bo Jiu
Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets. IEEE Trans. Signal Process. 64 (18) (2016)
Danlei Xu, Lan Du, Hongwei Liu, Penghui Wang, Junkun Yan, Yulai Cong, Xun Han
Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning. IEEE Trans. Signal Process. 63 (12) (2015)
Mingyuan Zhou, Yulai Cong, Bo Chen
The Poisson Gamma Belief Network. NIPS (2015)