Rui Shu

Computer Science · Physical Sciences

11h-index1.5kcitations34works1.02yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Generative Adversarial Networks and Image Synthesis(11), Domain Adaptation and Few-Shot Learning(10), Adversarial Robustness in Machine Learning(9), Gaussian Processes and Bayesian Inference(6), Explainable Artificial Intelligence (XAI)(5)

Publications32 total

Design and Analysis of High-Precision Infusion Systems
2023
Study on electric agglomeration of bipolar-charged coal-fired fly ash particles and its effect on filtration performance of fibrous filter
Clean Technologies and Environmental Policy·2023· 9 cited
Temporal Predictive Coding For Model-Based Planning In Latent Space
arXiv (Cornell University)·2021· 5 citedOpen Access
Non-Markovian Predictive Coding For Planning In Latent Space
2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
arXiv (Cornell University)·2021· 6 citedOpen Access
Predictive Coding for Locally-Linear Control
International Conference on Machine Learning·2020· 3 cited
Weakly Supervised Disentanglement with Guarantees
arXiv (Cornell University)·2020· 43 citedOpen Access
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 5 citedOpen Access
Predictive Coding for Locally-Linear Control
arXiv (Cornell University)·2020· 4 citedOpen Access
Domain Adaptation for Human Fall Detection Using WiFi Channel State Information.
2020· 1 cited
Fair Generative Modeling via Weak Supervision
arXiv (Cornell University)·2019· 15 citedOpen Access
Weakly Supervised Disentanglement with Guarantees
arXiv (Cornell University)·2019· 33 citedOpen Access
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
arXiv (Cornell University)·2019· 8 citedOpen Access
Domain Adaptation for Human Fall Detection Using WiFi Channel State Information
Studies in computational intelligence·2019· 5 cited
AlignFlow: Cycle Consistent Learning from Multiple Domains via\n Normalizing Flows
arXiv (Cornell University)·2019· 2 citedOpen Access
Training Variational Autoencoders with Buffered Stochastic Variational Inference
arXiv (Cornell University)·2019· 1 citedOpen Access
AlignFlow: Learning from multiple domains via normalizing flows.
International Conference on Learning Representations·2019· 2 cited
Bayesian optimization and attribute adjustment
PuSH - Publication Server of Helmholtz Zentrum München·2018· 9 cited
Amortized Inference Regularization
arXiv (Cornell University)·2018· 48 citedOpen Access
Amortized Inference Regularization
Neural Information Processing Systems·2018· 29 cited
page 1 of 2Next →

Frequent Co-authors

Stefano Ermon(18), Hung Bui(12), Mohammad Ghavamzadeh(5), Aditya Grover(5), Hirokazu Narui(4), Stefano Ermon(4), Tung Nguyen(4), Tuan Anh Pham(4), Yang Song(3), Nate Kushman(3), Shengjia Zhao(3), Mykel J. Kochenderfer(3), Yinlam Chow(3), Christopher G. Chute(3), Zhangjie Cao(3), Yining Chen(2), Abhishek Kumar(2), Ben Poole(2), Félix F. González-Navarro(2), Khoat Than(2)