Rui Shu

65 papers A* 12A 4B 2C 1Journal 39Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Competitive Programming with Large Reasoning Models.
CoRR
Ahmed El-Kishky, Alexander Wei, Andre Saraiva, Borys Minaiev, Daniel Selsam, David Dohan, Francis Song, Hunter Lightman, Ignasi Clavera Gilaberte, Jakub Pachocki, Jerry Tworek, Lorenz Kuhn, Lukasz Kaiser, Mark Chen, Max Schwarzer, Mostafa Rohaninejad, Nat McAleese, o3 contributors, Oleg Mürk, Rhythm Garg, Rui Shu, Szymon Sidor, Vineet Kosaraju, Wenda Zhou
2025 J jnl
Neural network-based prescribed performance control for spacecraft formation reconfiguration with collision avoidance.
J. Frankl. Inst.
Qingxian Jia, Rui Shu, Dan Yu, Chengxi Zhang, Lining Tan
2025 B conf
Performance Analysis of Multi-Layer Urban Air Mobility Networks With Directional Antennas Based on Poisson Line Process.
WCNC
Rui Shu, Xinyu Gu
2025 J jnl
Scene Text Image Super-Resolution Via Semantic Distillation and Text Perceptual Loss.
IEEE Trans. Multim.
Cairong Zhao, Rui Shu, Shuyang Feng, Liang Zhu, Xuekuan Wang
2025 A* conf
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense.
AAAI
Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang, Shuchang Wang, Rui Shu, Zhidong Yu, Wei Yang, Liusheng Huang
2024 J jnl
Imbalanced Learning for Gearbox Fault Detection via Attention-Based Multireceptive Field Convolutional Neural Networks With an Adaptive Label Regulation Loss.
IEEE Trans. Instrum. Meas.
Yadong Xu, Rui Shu, Sheng Li, Ke Feng, Xiaolong Yang, Zhiheng Zhao, George Q. Huang
2024 J jnl
Learning Neural Network-Based Fault-Tolerant Formation Control for Elliptical Orbit Spacecraft.
IEEE Trans. Aerosp. Electron. Syst.
Qingxian Jia, Rui Shu, Choon Ki Ahn, Chengxi Zhang
2024 J jnl
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data.
Adv. Eng. Informatics
Rui Shu, Yadong Xu, Jianliang He, Xiaolong Yang, Zhiheng Zhao, George Q. Huang
2024 J jnl
Research on optimal path sampling algorithm of manipulator based on potential function.
Int. J. Intell. Robotics Appl.
Rui Shu, Minghai Yuan, Zhenyu Liang, Yingjie Sun, Fengque Pei
2023 — conf
Smooth Mask Matters: A Stroke Smoothing Text Removal Framework.
ACPR (1)
Chuyu Tu, Zhifei Zhang, Rui Shu, Shuyang Feng, Xuekuan Wang, Yuping Qiu, Cairong Zhao
2023 J jnl
Text-Enhanced Scene Image Super-Resolution via Stroke Mask and Orthogonal Attention.
IEEE Trans. Circuits Syst. Video Technol.
Rui Shu, Cairong Zhao, Shuyang Feng, Liang Zhu, Duoqian Miao
2022 A* conf
Bit Prioritization in Variational Autoencoders via Progressive Coding.
ICML
Rui Shu, Stefano Ermon
2022 A conf
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue.
MSR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
Do I really need all this work to find vulnerabilities?
Empir. Softw. Eng.
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
2022 J jnl
Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application.
CoRR
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
2022 J jnl
Omni: automated ensemble with unexpected models against adversarial evasion attack.
Empir. Softw. Eng.
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2022 J jnl
Predicting health indicators for open source projects (using hyperparameter optimization).
Empir. Softw. Eng.
Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
2022 J jnl
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning).
CoRR
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
2022 J jnl
Sequential Model Optimization for Software Effort Estimation.
IEEE Trans. Software Eng.
Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies
2021 A* conf
Anytime Sampling for Autoregressive Models via Ordered Autoencoding.
ICLR
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
2021 J jnl
Anytime Sampling for Autoregressive Models via Ordered Autoencoding.
CoRR
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
2021 J jnl
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization).
Empir. Softw. Eng.
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
2021 — conf
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.
ICSE (SEET)
Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
2021 J jnl
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard.
CoRR
Sarah Elder, Nusrat Zahan, Val Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
2021 A* conf
Temporal Predictive Coding For Model-Based Planning In Latent Space.
ICML
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2021 J jnl
Temporal Predictive Coding For Model-Based Planning In Latent Space.
CoRR
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2020 A* conf
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows.
AAAI
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2020 — ch.
Domain Adaptation for Human Fall Detection Using WiFi Channel State Information.
Precision Health and Medicine
Hirokazu Narui, Rui Shu, Félix F. González-Navarro, Stefano Ermon
2020 A* conf
Fair Generative Modeling via Weak Supervision.
ICML
Kristy Choi, Aditya Grover, Trisha Singh, Rui Shu, Stefano Ermon
2020 J jnl
Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor.
IEEE Geosci. Remote. Sens. Lett.
Chaoqun Xia, Xiaorun Li, Liaoying Zhao, Rui Shu
2020 J jnl
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2020 J jnl
Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer).
CoRR
Tianpei Xia, Wei Fu, Rui Shu, Tim Menzies
2020 A* conf
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.
ICLR
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
2020 A* conf
Predictive Coding for Locally-Linear Control.
ICML
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
2020 J jnl
Predictive Coding for Locally-Linear Control.
CoRR
Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
2020 A* conf
Weakly Supervised Disentanglement with Guarantees.
ICLR
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
2019 J jnl
A Comparison of the Acceptance of Female Subjects Between Mammography, Automated Breast Ultrasound and Hand-Held Ultrasound.
J. Medical Imaging Health Informatics
Xican Gao, Liwen Liu, Jingru Yan, Shanling Yang, Rui Shu, Yan Ju, Ge Zhang, Yao Xiao, Hongping Song
2019 J jnl
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows.
CoRR
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2019 — conf
AlignFlow: Learning from multiple domains via normalizing flows.
DGS@ICLR
Aditya Grover, Christopher Chute, Rui Shu, Zhangjie Cao, Stefano Ermon
2019 J jnl
Better Security Bug Report Classification via Hyperparameter Optimization.
CoRR
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
2019 J jnl
Fair Generative Modeling via Weak Supervision.
CoRR
Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon
2019 J jnl
Improved Recognition of Security Bugs via Dual Hyperparameter Optimization.
CoRR
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
2019 J jnl
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.
CoRR
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
2019 J jnl
Sequential Model Optimization for Software Process Control.
CoRR
Tianpei Xia, Jianfeng Chen, Rui Shu, Tim Menzies
2019 A conf
Training Variational Autoencoders with Buffered Stochastic Variational Inference.
AISTATS
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
2019 J jnl
Training Variational Autoencoders with Buffered Stochastic Variational Inference.
CoRR
Rui Shu, Hung H. Bui, Jay Whang, Stefano Ermon
2019 J jnl
Weakly Supervised Disentanglement with Guarantees.
CoRR
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
2018 — conf
A DIRT-T Approach to Unsupervised Domain Adaptation.
ICLR (Poster)
Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon
2018 J jnl
A DIRT-T Approach to Unsupervised Domain Adaptation.
CoRR
Rui Shu, Hung H. Bui, Hirokazu Narui, Stefano Ermon
2018 A* conf
Amortized Inference Regularization.
NeurIPS
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
2018 J jnl
Amortized Inference Regularization.
CoRR
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
2018 A conf
Bayesian optimization and attribute adjustment.
UAI
Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon
2018 A* conf
Constructing Unrestricted Adversarial Examples with Generative Models.
NeurIPS
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
2018 J jnl
Generative Adversarial Examples.
CoRR
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
2018 — conf
Rethinking Style and Content Disentanglement in Variational Autoencoders.
ICLR (Workshop)
Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer
2018 A conf
Robust Locally-Linear Controllable Embedding.
AISTATS
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2017 — conf
A Study of Security Vulnerabilities on Docker Hub.
CODASPY
Rui Shu, Xiaohui Gu, William Enck
2017 A* conf
Bottleneck Conditional Density Estimation.
ICML
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
2017 J jnl
Robust Locally-Linear Controllable Embedding.
CoRR
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2016 J jnl
A Study of Security Isolation Techniques.
ACM Comput. Surv.
Rui Shu, Peipei Wang, Sigmund Albert Gorski III, Benjamin Andow, Adwait Nadkarni, Luke Deshotels, Jason Gionta, William Enck, Xiaohui Gu
2016 J jnl
Bottleneck Conditional Density Estimation.
CoRR
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
2016 B conf
The Optimistic Method for Model Estimation.
IDA
James Brofos, Rui Shu, Frank Zhang
2015 C conf
Parallelization of Minimum Probability Flow on Binary Markov Random Fields.
ICMLA
James Brofos, Rui Shu
2014 J jnl
Automated Attribution and Intertextual Analysis.
CoRR
James Brofos, Ajay Kannan, Rui Shu