| 2025 | AAAI | Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense. | Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang, Shuchang Wang, Rui Shu, Zhidong Yu, Wei Yang, Liusheng Huang |
| 2025 | WCNC | Performance Analysis of Multi-Layer Urban Air Mobility Networks With Directional Antennas Based on Poisson Line Process. | Rui Shu, Xinyu Gu |
| 2022 | ICML | Bit Prioritization in Variational Autoencoders via Progressive Coding. | Rui Shu, Stefano Ermon |
| 2022 | MSR | Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. | Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies |
| 2021 | ICLR | Anytime Sampling for Autoregressive Models via Ordered Autoencoding. | Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon |
| 2021 | ICML | Temporal Predictive Coding For Model-Based Planning In Latent Space. | Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon |
| 2021 | ICSE | Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. | Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams |
| 2020 | AAAI | AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. | Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
| 2020 | ICLR | Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. | Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui |
| 2020 | ICLR | Weakly Supervised Disentanglement with Guarantees. | Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole |
| 2020 | ICML | Fair Generative Modeling via Weak Supervision. | Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon |
| 2020 | ICML | Predictive Coding for Locally-Linear Control. | Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui |
| 2019 | AISTATS | Training Variational Autoencoders with Buffered Stochastic Variational Inference. | Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon |
| 2019 | ICLR | AlignFlow: Learning from multiple domains via normalizing flows. | Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon |
| 2018 | AISTATS | Robust Locally-Linear Controllable Embedding. | Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi |
| 2018 | ICLR | A DIRT-T Approach to Unsupervised Domain Adaptation. | Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon |
| 2018 | ICLR | Rethinking Style and Content Disentanglement in Variational Autoencoders. | Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer |
| 2018 | UAI | Bayesian optimization and attribute adjustment. | Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon |
| 2017 | ICML | Bottleneck Conditional Density Estimation. | Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh |
| 2016 | IDA | The Optimistic Method for Model Estimation. | James Brofos, Rui Shu, Frank Zhang |
| 2015 | ICMLA | Parallelization of Minimum Probability Flow on Binary Markov Random Fields. | James Brofos, Rui Shu |