| 2024 | AAAI | Big Learning Expectation Maximization. | Yulai Cong, Sijia Li |
| 2024 | MMM | Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations. | Yuanjian He, Weile Zhang, Junyuan Deng, Yulai Cong |
| 2021 | AAAI | GO Hessian for Expectation-Based Objectives. | Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin |
| 2020 | AAAI | Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. | Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin |
| 2020 | ICML | On Leveraging Pretrained GANs for Generation with Limited Data. | Miaoyun Zhao, Yulai Cong, Lawrence Carin |
| 2019 | ICLR | GO Gradient for Expectation-Based Objectives. | Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin |
| 2018 | MICCAI | 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 |
| 2017 | ICML | Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. | Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou |