Yulai Cong

According to our database, Yulai Cong authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations.

Yuanjian He, Weile Zhang, Junyuan Deng, Yulai Cong

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Big Learning Expectation Maximization.

Yulai Cong, Sijia Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deformable Scattering Feature Correlation Network for Aircraft Detection in SAR Images.

Yuanjia Chen, Yulai Cong, Lei Zhang

IEEE Geosci. Remote. Sens. Lett., 2023

Dynamic Task Subspace Ensemble for Class-Incremental Learning.

Weile Zhang, Yuanjian He, Yulai Cong

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition.

Chuan Du, Yulai Cong, Lei Zhang, Dandan Guo, Song Wei

IEEE Trans. Inf. Forensics Secur., 2022

Big Learning: A Universal Machine Learning Paradigm?

Yulai Cong, Miaoyun Zhao

CoRR, 2022

2021

Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference.

Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 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

On Leveraging Pretrained GANs for Limited-Data Generation.

Miaoyun Zhao, Yulai Cong, Lawrence Carin

CoRR, 2020

GAN Memory with No Forgetting.

Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin

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

On Leveraging Pretrained GANs for Generation with Limited Data.

Miaoyun Zhao, Yulai Cong, Lawrence Carin

Proceedings of the 37th International Conference on Machine Learning, 2020

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence.

Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

GO Gradient for Expectation-Based Objectives.

Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.

Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets.

Yulai Cong, Bo Chen, Hongwei Liu, Bo Jiu

IEEE Trans. Signal Process., 2016

Augmentable Gamma Belief Networks.

Mingyuan Zhou, Yulai Cong, Bo Chen

J. Mach. Learn. Res., 2016

2015

Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning.

Danlei Xu, Lan Du, Hongwei Liu, Penghui Wang, Junkun Yan, Yulai Cong, Xun Han

IEEE Trans. Signal Process., 2015

The Poisson Gamma Belief Network.

Mingyuan Zhou, Yulai Cong, Bo Chen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015