Rui Shu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 56

Top Topics

Multiple Domains

Breast Ultrasound

Predictive Coding

Top Venues

Empir. Softw. Eng.

Publications

Rui Shu, Minghai Yuan, Zhenyu Liang, Yingjie Sun, Fengque Pei
Research on optimal path sampling algorithm of manipulator based on potential function. Int. J. Intell. Robotics Appl. 8 (2) (2024)
Qingxian Jia, Rui Shu, Choon Ki Ahn, Chengxi Zhang
Learning Neural Network-Based Fault-Tolerant Formation Control for Elliptical Orbit Spacecraft. IEEE Trans. Aerosp. Electron. Syst. 60 (2) (2024)
Rui Shu, Yadong Xu, Jianliang He, Xiaolong Yang, Zhiheng Zhao, George Q. Huang
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data. Adv. Eng. Informatics 62 (2024)
Rui Shu, Cairong Zhao, Shuyang Feng, Liang Zhu, Duoqian Miao
Text-Enhanced Scene Image Super-Resolution via Stroke Mask and Orthogonal Attention. IEEE Trans. Circuits Syst. Video Technol. 33 (11) (2023)
Chuyu Tu, Zhifei Zhang, Rui Shu, Shuyang Feng, Xuekuan Wang, Yuping Qiu, Cairong Zhao
Smooth Mask Matters: A Stroke Smoothing Text Removal Framework. ACPR (1) (2023)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. MSR (2022)
Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
Predicting health indicators for open source projects (using hyperparameter optimization). Empir. Softw. Eng. 27 (6) (2022)
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
Do I really need all this work to find vulnerabilities? Empir. Softw. Eng. 27 (6) (2022)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. CoRR (2022)
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR (2022)
Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies
Sequential Model Optimization for Software Effort Estimation. IEEE Trans. Software Eng. 48 (6) (2022)
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. CoRR (2022)
Rui Shu, Stefano Ermon
Bit Prioritization in Variational Autoencoders via Progressive Coding. ICML (2022)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Omni: automated ensemble with unexpected models against adversarial evasion attack. Empir. Softw. Eng. 27 (1) (2022)
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. CoRR (2021)
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization). Empir. Softw. Eng. 26 (3) (2021)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR (2021)
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. ICLR (2021)
Sarah Elder, Nusrat Zahan, Val Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. CoRR (2021)
Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. ICSE (SEET) (2021)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML (2021)
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
Predictive Coding for Locally-Linear Control. ICML (2020)
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
Predictive Coding for Locally-Linear Control. CoRR (2020)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. AAAI (2020)
Chaoqun Xia, Xiaorun Li, Liaoying Zhao, Rui Shu
Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor. IEEE Geosci. Remote. Sens. Lett. 17 (1) (2020)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack. CoRR (2020)
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
Weakly Supervised Disentanglement with Guarantees. ICLR (2020)
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. ICLR (2020)
Tianpei Xia, Wei Fu, Rui Shu, Tim Menzies
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer). CoRR (2020)
Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon
Fair Generative Modeling via Weak Supervision. ICML (2020)
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization. CoRR (2019)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. CoRR (2019)
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
Weakly Supervised Disentanglement with Guarantees. CoRR (2019)
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
Training Variational Autoencoders with Buffered Stochastic Variational Inference. AISTATS (2019)
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
AlignFlow: Learning from multiple domains via normalizing flows. DGS@ICLR (2019)
Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon
Fair Generative Modeling via Weak Supervision. CoRR (2019)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Better Security Bug Report Classification via Hyperparameter Optimization. CoRR (2019)
Tianpei Xia, Jianfeng Chen, Rui Shu, Tim Menzies
Sequential Model Optimization for Software Process Control. CoRR (2019)
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
Training Variational Autoencoders with Buffered Stochastic Variational Inference. CoRR (2019)
Xican Gao, Liwen Liu, Jingru Yan, Shanling Yang, Rui Shu, Yan Ju, Ge Zhang, Yao Xiao, Hongping Song
A Comparison of the Acceptance of Female Subjects Between Mammography, Automated Breast Ultrasound and Hand-Held Ultrasound. J. Medical Imaging Health Informatics 9 (4) (2019)
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. CoRR (2019)
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
Amortized Inference Regularization. CoRR (2018)
Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon
A DIRT-T Approach to Unsupervised Domain Adaptation. CoRR (2018)
Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon
A DIRT-T Approach to Unsupervised Domain Adaptation. ICLR (Poster) (2018)
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
Amortized Inference Regularization. NeurIPS (2018)
Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon
Bayesian optimization and attribute adjustment. UAI (2018)
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
Generative Adversarial Examples. CoRR (2018)
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Hai Bui, Ali Ghodsi
Robust Locally-Linear Controllable Embedding. AISTATS (2018)
Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer
Rethinking Style and Content Disentanglement in Variational Autoencoders. ICLR (Workshop) (2018)
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
Constructing Unrestricted Adversarial Examples with Generative Models. NeurIPS (2018)
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Hai Bui, Ali Ghodsi
Robust Locally-Linear Controllable Embedding. CoRR (2017)
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
Bottleneck Conditional Density Estimation. ICML (2017)
Rui Shu, Xiaohui Gu, William Enck
A Study of Security Vulnerabilities on Docker Hub. CODASPY (2017)
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
Bottleneck Conditional Density Estimation. CoRR (2016)
James Brofos, Rui Shu, Frank Zhang
The Optimistic Method for Model Estimation. IDA (2016)
Rui Shu, Peipei Wang, Sigmund Albert Gorski III, Benjamin Andow, Adwait Nadkarni, Luke Deshotels, Jason Gionta, William Enck, Xiaohui Gu
A Study of Security Isolation Techniques. ACM Comput. Surv. 49 (3) (2016)
James Brofos, Rui Shu
Parallelization of Minimum Probability Flow on Binary Markov Random Fields. ICMLA (2015)
James Brofos, Ajay Kannan, Rui Shu
Automated Attribution and Intertextual Analysis. CoRR (2014)