Xi Wu

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 38

Top Topics

Differentially Private

Machine Learning

Small Set Of Labeled

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Proc. VLDB Endow.

Publications

Xi Wu, Xiangyao Yu, Shaleen Deep, Ahmed Mahmood, Uyeong Jang, Stratis Viglas, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton
Bilevel Relations and Their Applications to Data Insights. CoRR (2023)
Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton
Holistic Cube Analysis: A Query Framework for Data Insights. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. ICML (2023)
Yan Hui, Xi Wu, Xiuhua Hu, Huan Liu, Shijie You
Unsupervised Cross-Domain Person Re-Identification Method Based on Attention Block and Refined Clustering. IEEE Access 10 (2022)
Xiuhua Hu, Huan Liu, Yan Hui, Xi Wu, Jing Zhao
Transformer Feature Enhancement Network with Template Update for Object Tracking. Sensors 22 (14) (2022)
Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu
Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. 36 (12) (2022)
Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu
Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. 36 (2) (2022)
Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu
Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. 36 (1) (2022)
Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR (2022)
Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR (2021)
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR (2021)
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
Towards Adversarial Robustness via Transductive Learning. CoRR (2021)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) (2021)
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS (2021)
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
DIFF: a relational interface for large-scale data explanation. VLDB J. 30 (1) (2021)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
Robust Out-of-distribution Detection in Neural Networks. CoRR (2020)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR (2020)
Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR (2020)
Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha
Concise Explanations of Neural Networks using Adversarial Training. ICML (2020)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Robust Attribution Regularization. CoRR (2019)
Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu
Enhancing ML Robustness Using Physical-World Constraints. CoRR (2019)
Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent. SIGMOD Conference (2019)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Robust Attribution Regularization. NeurIPS (2019)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P (2019)
Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu
Concise Explanations of Neural Networks using Adversarial Training. CoRR (2018)
Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML (2018)
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
DIFF: A Relational Interface for Large-Scale Data Explanation. Proc. VLDB Endow. 12 (4) (2018)
Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha
Improving Adversarial Robustness by Data-Specific Discretization. CoRR (2018)
Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha
Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR (2017)
Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu
When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding. CoRR (2017)
Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics. SIGMOD Conference (2017)
Uyeong Jang, Xi Wu, Somesh Jha
Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning. ACSAC (2017)
Xi Wu, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton
Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics. CoRR (2016)
Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks. IEEE Symposium on Security and Privacy (2016)
Xi Wu, Matthew Fredrikson, Somesh Jha, Jeffrey F. Naughton
A Methodology for Formalizing Model-Inversion Attacks. CSF (2016)
Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks. CoRR (2015)
Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences. CoRR (2015)
Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
A Completeness Theory for Polynomial (Turing) Kernelization. Algorithmica 71 (3) (2015)
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Uncertainty Aware Query Execution Time Prediction. CoRR (2014)
Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
Uncertainty Aware Query Execution Time Prediction. Proc. VLDB Endow. 7 (14) (2014)
Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
A Completeness Theory for Polynomial (Turing) Kernelization. IPEC (2013)
Danny Hermelin, Xi Wu
Weak compositions and their applications to polynomial lower bounds for kernelization. SODA (2012)
Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
Hierarchies of Inefficient Kernelizability CoRR (2011)
Zhaoguo Wang, Ran Liu, Yufei Chen, Xi Wu, Haibo Chen, Weihua Zhang, Binyu Zang
COREMU: a scalable and portable parallel full-system emulator. PPOPP (2011)
Danny Hermelin, Xi Wu
Weak Compositions and Their Applications to Polynomial Lower-Bounds for Kernelization. Electron. Colloquium Comput. Complex. 18 (2011)
Rudolf Fleischer, Jiong Guo, Rolf Niedermeier, Johannes Uhlmann, Yihui Wang, Mathias Weller, Xi Wu
Extended Islands of Tractability for Parsimony Haplotyping. CPM (2010)
Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huang, Pen-Chung Yew
Control flow obfuscation with information flow tracking. MICRO (2009)
Rudolf Fleischer, Xi Wu, Liwei Yuan
Experimental Study of FPT Algorithms for the Directed Feedback Vertex Set Problem. ESA (2009)
Haibo Chen, Xi Wu, Liwei Yuan, Binyu Zang, Pen-Chung Yew, Frederic T. Chong
From Speculation to Security: Practical and Efficient Information Flow Tracking Using Speculative Hardware. ISCA (2008)