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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]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: 102666 (2024)- [j12]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): 299-321 (2024) - [j11]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): 1937-1950 (2024) - [j10]Yadong Xu, Rui Shu, Sheng Li, Ke Feng, Xiaolong Yang, Zhiheng Zhao, George Q. Huang:
Imbalanced Learning for Gearbox Fault Detection via Attention-Based Multireceptive Field Convolutional Neural Networks With an Adaptive Label Regulation Loss. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j9]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): 6317-6330 (2023) - [c23]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: 302-316 - 2022
- [j8]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Omni: automated ensemble with unexpected models against adversarial evasion attack. Empir. Softw. Eng. 27(1): 26 (2022) - [j7]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): 122 (2022) - [j6]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): 154 (2022) - [j5]Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies:
Sequential Model Optimization for Software Effort Estimation. IEEE Trans. Software Eng. 48(6): 1994-2009 (2022) - [c22]Rui Shu, Stefano Ermon:
Bit Prioritization in Variational Autoencoders via Progressive Coding. ICML 2022: 20141-20155 - [c21]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. MSR 2022: 144-155 - [i23]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. CoRR abs/2203.11410 (2022) - [i22]Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies:
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR abs/2205.00665 (2022) - [i21]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 abs/2208.01595 (2022) - 2021
- [j4]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): 53 (2021) - [c20]Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon:
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. ICLR 2021 - [c19]Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon:
Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML 2021: 8130-8139 - [c18]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: 95-104 - [i20]Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon:
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. CoRR abs/2102.11495 (2021) - [i19]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 abs/2103.05088 (2021) - [i18]Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon:
Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR abs/2106.07156 (2021) - 2020
- [j3]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): 157-161 (2020) - [c17]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. AAAI 2020: 4028-4035 - [c16]Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui:
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. ICLR 2020 - [c15]Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole:
Weakly Supervised Disentanglement with Guarantees. ICLR 2020 - [c14]Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon:
Fair Generative Modeling via Weak Supervision. ICML 2020: 1887-1898 - [c13]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: 8862-8871 - [p1]Hirokazu Narui, Rui Shu, Félix F. González-Navarro, Stefano Ermon:
Domain Adaptation for Human Fall Detection Using WiFi Channel State Information. Precision Health and Medicine 2020: 177-181 - [i17]Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. CoRR abs/2003.01086 (2020) - [i16]Tianpei Xia, Wei Fu, Rui Shu, Tim Menzies:
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer). CoRR abs/2006.07240 (2020) - [i15]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack. CoRR abs/2011.12720 (2020)
2010 – 2019
- 2019
- [j2]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): 768-775 (2019) - [c12]Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon:
Training Variational Autoencoders with Buffered Stochastic Variational Inference. AISTATS 2019: 2134-2143 - [c11]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Learning from multiple domains via normalizing flows. DGS@ICLR 2019 - [i14]Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon:
Training Variational Autoencoders with Buffered Stochastic Variational Inference. CoRR abs/1902.10294 (2019) - [i13]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Better Security Bug Report Classification via Hyperparameter Optimization. CoRR abs/1905.06872 (2019) - [i12]Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon:
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows. CoRR abs/1905.12892 (2019) - [i11]Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui:
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. CoRR abs/1909.01506 (2019) - [i10]Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole:
Weakly Supervised Disentanglement with Guarantees. CoRR abs/1910.09772 (2019) - [i9]Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon:
Fair Generative Modeling via Weak Supervision. CoRR abs/1910.12008 (2019) - [i8]Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies:
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization. CoRR abs/1911.02476 (2019) - [i7]Tianpei Xia, Jianfeng Chen, Rui Shu, Tim Menzies:
Sequential Model Optimization for Software Process Control. CoRR abs/1912.04189 (2019) - 2018
- [c10]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. AISTATS 2018: 1751-1759 - [c9]Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon:
A DIRT-T Approach to Unsupervised Domain Adaptation. ICLR (Poster) 2018 - [c8]Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer:
Rethinking Style and Content Disentanglement in Variational Autoencoders. ICLR (Workshop) 2018 - [c7]Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon:
Amortized Inference Regularization. NeurIPS 2018: 4398-4407 - [c6]Yang Song, Rui Shu, Nate Kushman, Stefano Ermon:
Constructing Unrestricted Adversarial Examples with Generative Models. NeurIPS 2018: 8322-8333 - [c5]Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon:
Bayesian optimization and attribute adjustment. UAI 2018: 1042-1052 - [i6]Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon:
A DIRT-T Approach to Unsupervised Domain Adaptation. CoRR abs/1802.08735 (2018) - [i5]Yang Song, Rui Shu, Nate Kushman, Stefano Ermon:
Generative Adversarial Examples. CoRR abs/1805.07894 (2018) - [i4]Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon:
Amortized Inference Regularization. CoRR abs/1805.08913 (2018) - 2017
- [c4]Rui Shu, Xiaohui Gu, William Enck:
A Study of Security Vulnerabilities on Docker Hub. CODASPY 2017: 269-280 - [c3]Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh:
Bottleneck Conditional Density Estimation. ICML 2017: 3164-3172 - [i3]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. CoRR abs/1710.05373 (2017) - 2016
- [j1]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): 50:1-50:37 (2016) - [c2]James Brofos, Rui Shu, Frank Zhang:
The Optimistic Method for Model Estimation. IDA 2016: 146-157 - [i2]Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh:
Bottleneck Conditional Density Estimation. CoRR abs/1611.08568 (2016) - 2015
- [c1]James Brofos, Rui Shu:
Parallelization of Minimum Probability Flow on Binary Markov Random Fields. ICMLA 2015: 347-350 - 2014
- [i1]James Brofos, Ajay Kannan, Rui Shu:
Automated Attribution and Intertextual Analysis. CoRR abs/1405.0616 (2014)
Coauthor Index
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last updated on 2024-10-04 20:01 CEST by the dblp team
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