Xi Wu

According to our database, Xi Wu authored at least 43 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Bilevel Relations and Their Applications to Data Insights.

Xi Wu, Xiangyao Yu, Shaleen Deep, Ahmed Mahmood, Uyeong Jang, Stratis Viglas, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton

CoRR, 2023

Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection.

Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha

CoRR, 2023

Holistic Cube Analysis: A Query Framework for Data Insights.

Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton

CoRR, 2023

Stratified Adversarial Robustness with Rejection.

Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha

Proceedings of the International Conference on Machine Learning, 2023

The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning.

Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Transformer Feature Enhancement Network with Template Update for Object Tracking.

Xiuhua Hu, Huan Liu, Yan Hui, Xi Wu, Jing Zhao

Sensors, 2022

Person Re-Identification Combined with Style Transfer and Pose Generation.

Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu

Int. J. Pattern Recognit. Artif. Intell., 2022

Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature.

Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu

Int. J. Pattern Recognit. Artif. Intell., 2022

Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory.

Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu

Int. J. Pattern Recognit. Artif. Intell., 2022

Unsupervised Cross-Domain Person Re-Identification Method Based on Attention Block and Refined Clustering.

Yan Hui, Xi Wu, Xiuhua Hu, Huan Liu, Shijie You

IEEE Access, 2022

Towards Evaluating the Robustness of Neural Networks Learned by Transduction.

Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

DIFF: a relational interface for large-scale data explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

VLDB J., 2021

Towards Adversarial Robustness via Transductive Learning.

Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha

CoRR, 2021

ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining.

Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles.

Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Robust Out-of-distribution Detection via Informative Outlier Mining.

Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

CoRR, 2020

Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation.

Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani

CoRR, 2020

Robust Out-of-distribution Detection in Neural Networks.

Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha

CoRR, 2020

Concise Explanations of Neural Networks using Adversarial Training.

Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Enhancing ML Robustness Using Physical-World Constraints.

Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu

CoRR, 2019

Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent.

Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel

Proceedings of the 2019 International Conference on Management of Data, 2019

Robust Attribution Regularization.

Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks.

Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha

Proceedings of the IEEE European Symposium on Security and Privacy, 2019

2018

DIFF: A Relational Interface for Large-Scale Data Explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Anathanaraya, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2018

Improving Adversarial Robustness by Data-Specific Discretization.

Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha

CoRR, 2018

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training.

Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Manifold Assumption and Defenses Against Adversarial Perturbations.

Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha

CoRR, 2017

When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding.

Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu

CoRR, 2017

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics.

Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning.

Uyeong Jang, Xi Wu, Somesh Jha

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics.

Xi Wu, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton

CoRR, 2016

Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.

Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami

Proceedings of the IEEE Symposium on Security and Privacy, 2016

A Methodology for Formalizing Model-Inversion Attacks.

Xi Wu, Matthew Fredrikson, Somesh Jha, Jeffrey F. Naughton

Proceedings of the IEEE 29th Computer Security Foundations Symposium, 2016

2015

Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences.

Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton

CoRR, 2015

A Completeness Theory for Polynomial (Turing) Kernelization.

Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu

Algorithmica, 2015

2014

Uncertainty Aware Query Execution Time Prediction.

Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton

Proc. VLDB Endow., 2014

2011

Weak Compositions and Their Applications to Polynomial Lower-Bounds for Kernelization.

Danny Hermelin, Xi Wu

Electron. Colloquium Comput. Complex., 2011

Hierarchies of Inefficient Kernelizability

Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu

CoRR, 2011

COREMU: a scalable and portable parallel full-system emulator.

Zhaoguo Wang, Ran Liu, Yufei Chen, Xi Wu, Haibo Chen, Weihua Zhang, Binyu Zang

Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011

2010

Extended Islands of Tractability for Parsimony Haplotyping.

Rudolf Fleischer, Jiong Guo, Rolf Niedermeier, Johannes Uhlmann, Yihui Wang, Mathias Weller, Xi Wu

Proceedings of the Combinatorial Pattern Matching, 21st Annual Symposium, 2010

2009

Control flow obfuscation with information flow tracking.

Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huang, Pen-Chung Yew

Proceedings of the 42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-42 2009), 2009

Experimental Study of FPT Algorithms for the Directed Feedback Vertex Set Problem.

Rudolf Fleischer, Xi Wu, Liwei Yuan

Proceedings of the Algorithms, 2009

2008

From Speculation to Security: Practical and Efficient Information Flow Tracking Using Speculative Hardware.

Haibo Chen, Xi Wu, Liwei Yuan, Binyu Zang, Pen-Chung Yew, Frederic T. Chong

Proceedings of the 35th International Symposium on Computer Architecture (ISCA 2008), 2008