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Journal Articles
- 2024
[j7]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): 6558-6569 (2024)- 2023
- [j6]Yuanjia Chen, Yulai Cong, Lei Zhang:
Deformable Scattering Feature Correlation Network for Aircraft Detection in SAR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - 2022
- [j5]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: 2410-2424 (2022) - 2021
- [j4]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): 4306-4322 (2021) - 2016
- [j3]Mingyuan Zhou, Yulai Cong, Bo Chen:
Augmentable Gamma Belief Networks. J. Mach. Learn. Res. 17: 163:1-163:44 (2016) - [j2]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): 4723-4736 (2016) - 2015
- [j1]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): 3076-3087 (2015)
Conference and Workshop Papers
- 2024
- [c11]Yulai Cong, Sijia Li:
Big Learning Expectation Maximization. AAAI 2024: 11669-11677 - [c10]Yuanjian He, Weile Zhang, Junyuan Deng, Yulai Cong:
Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations. MMM (3) 2024: 112-126 - 2023
- [c9]Weile Zhang, Yuanjian He, Yulai Cong:
Dynamic Task Subspace Ensemble for Class-Incremental Learning. CICAI (2) 2023: 322-334 - 2021
- [c8]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. AAAI 2021: 12060-12068 - 2020
- [c7]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. AAAI 2020: 6901-6908 - [c6]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Generation with Limited Data. ICML 2020: 11340-11351 - [c5]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. NeurIPS 2020 - 2019
- [c4]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. ICLR (Poster) 2019 - 2018
- [c3]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: 720-727 - 2017
- [c2]Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou:
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. ICML 2017: 864-873 - 2015
- [c1]Mingyuan Zhou, Yulai Cong, Bo Chen:
The Poisson Gamma Belief Network. NIPS 2015: 3043-3051
Informal and Other Publications
- 2024
- [i10]Yulai Cong:
Big Cooperative Learning. CoRR abs/2407.21319 (2024) - 2023
- [i9]Yulai Cong, Sijia Li:
Big Learning Expectation Maximization. CoRR abs/2312.11926 (2023) - 2022
- [i8]Yulai Cong, Miaoyun Zhao:
Big Learning: A Universal Machine Learning Paradigm? CoRR abs/2207.03899 (2022) - 2020
- [i7]Miaoyun Zhao, Yulai Cong, Lawrence Carin:
On Leveraging Pretrained GANs for Limited-Data Generation. CoRR abs/2002.11810 (2020) - [i6]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin:
GAN Memory with No Forgetting. CoRR abs/2006.07543 (2020) - [i5]Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou:
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference. CoRR abs/2006.08804 (2020) - [i4]Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. CoRR abs/2006.08873 (2020) - [i3]Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin:
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. CoRR abs/2007.06178 (2020) - 2019
- [i2]Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. CoRR abs/1901.06020 (2019) - 2017
- [i1]Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou:
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. CoRR abs/1706.01724 (2017)
Coauthor Index
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