Yulai Cong

Orcid: 0000-0003-2413-1163

According to our database1, Yulai Cong authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Big Cooperative Learning.
CoRR, 2024

Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Big Learning Expectation Maximization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deformable Scattering Feature Correlation Network for Aircraft Detection in SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Dynamic Task Subspace Ensemble for Class-Incremental Learning.
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.
IEEE Trans. Inf. Forensics Secur., 2022

Big Learning: A Universal Machine Learning Paradigm?
CoRR, 2022

2021
Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

GO Hessian for Expectation-Based Objectives.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
On Leveraging Pretrained GANs for Limited-Data Generation.
CoRR, 2020

GAN Memory with No Forgetting.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
GO Gradient for Expectation-Based Objectives.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets.
IEEE Trans. Signal Process., 2016

Augmentable Gamma Belief Networks.
J. Mach. Learn. Res., 2016

2015
Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning.
IEEE Trans. Signal Process., 2015

The Poisson Gamma Belief Network.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


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