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Xi Wu 0001
Person information
- affiliation: Google Inc, Mountain View, CA, USA
- affiliation: University of Wisconsin-Madison, Computer Science Department, WI, USA
- affiliation: Fudan University, Parallel Processing Institute, China
Other persons with the same name
- Xi Wu — disambiguation page
- Xi Wu 0002 — North China University of Technology, College of Science, China
- Xi Wu 0003
— Hefei University of Technology, China
- Xi Wu 0004
- Xi Wu 0005
- Xi Wu 0006
- Xi Wu 0007 — University of Southern Mississippi, School of Computing, Hattiesburg, MS, USA
- Xi Wu 0008
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2020 – today
- 2024
- [c22]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection. ICML 2024 - 2023
- [c21]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 - [c20]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. ICML 2023: 4867-4894 - [i23]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 abs/2302.00120 (2023) - [i22]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 abs/2303.00106 (2023) - [i21]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. CoRR abs/2305.01139 (2023) - [i20]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR abs/2305.17528 (2023) - [i19]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 abs/2311.04824 (2023) - 2022
- [j9]Yan Hui
Unsupervised Cross-Domain Person Re-Identification Method Based on Attention Block and Refined Clustering. IEEE Access 10: 105930-105941 (2022) - [j8]Xiuhua Hu
Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2250003:1-2250003:19 (2022) - [j7]Yan Hui
Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. 36(2): 2256003:1-2256003:18 (2022) - [j6]Xiuhua Hu
Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. 36(12): 2256019:1-2256019:20 (2022) - [j5]Xiuhua Hu
Transformer Feature Enhancement Network with Template Update for Object Tracking. Sensors 22(14): 5219 (2022) - [c19]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR 2022 - 2021
- [j4]Firas Abuzaid
DIFF: a relational interface for large-scale data explanation. VLDB J. 30(1): 45-70 (2021) - [c18]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: 14980-14992 - [c17]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) 2021: 430-445 - [i18]Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha:
Towards Adversarial Robustness via Transductive Learning. CoRR abs/2106.08387 (2021) - [i17]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 abs/2106.15728 (2021) - [i16]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR abs/2110.14735 (2021) - 2020
- [c16]Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha:
Concise Explanations of Neural Networks using Adversarial Training. ICML 2020: 1383-1391 - [i15]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection in Neural Networks. CoRR abs/2003.09711 (2020) - [i14]Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani:
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR abs/2004.10390 (2020) - [i13]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR abs/2006.15207 (2020)
2010 – 2019
- 2019
- [c15]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P 2019: 480-495 - [c14]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. NeurIPS 2019: 14300-14310 - [c13]Fengan Li, Lingjiao Chen, Yijing Zeng
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent. SIGMOD Conference 2019: 1517-1534 - [i12]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. CoRR abs/1905.09957 (2019) - [i11]Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu:
Enhancing ML Robustness Using Physical-World Constraints. CoRR abs/1905.10900 (2019) - 2018
- [j3]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): 419-432 (2018) - [c12]Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha:
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML 2018: 5330-5338 - [i10]Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha:
Improving Adversarial Robustness by Data-Specific Discretization. CoRR abs/1805.07816 (2018) - [i9]Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu:
Concise Explanations of Neural Networks using Adversarial Training. CoRR abs/1810.06583 (2018) - 2017
- [c11]Uyeong Jang, Xi Wu, Somesh Jha:
Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning. ACSAC 2017: 262-277 - [c10]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: 1307-1322 - [i8]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 abs/1702.06943 (2017) - [i7]Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha:
Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR abs/1711.08001 (2017) - 2016
- [c9]Xi Wu, Matthew Fredrikson
A Methodology for Formalizing Model-Inversion Attacks. CSF 2016: 355-370 - [c8]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: 582-597 - [i6]Xi Wu, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton:
Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics. CoRR abs/1606.04722 (2016) - 2015
- [j2]Danny Hermelin
A Completeness Theory for Polynomial (Turing) Kernelization. Algorithmica 71(3): 702-730 (2015) - [i5]Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami:
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks. CoRR abs/1511.04508 (2015) - [i4]Xi Wu, Matthew Fredrikson
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences. CoRR abs/1512.06388 (2015) - 2014
- [j1]Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton:
Uncertainty Aware Query Execution Time Prediction. Proc. VLDB Endow. 7(14): 1857-1868 (2014) - [i3]Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton:
Uncertainty Aware Query Execution Time Prediction. CoRR abs/1408.6589 (2014) - 2013
- [c7]Danny Hermelin
A Completeness Theory for Polynomial (Turing) Kernelization. IPEC 2013: 202-215 - 2012
- [c6]Danny Hermelin, Xi Wu:
Weak compositions and their applications to polynomial lower bounds for kernelization. SODA 2012: 104-113 - 2011
- [c5]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: 213-222 - [i2]Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu:
Hierarchies of Inefficient Kernelizability. CoRR abs/1110.0976 (2011) - [i1]Danny Hermelin, Xi Wu:
Weak Compositions and Their Applications to Polynomial Lower-Bounds for Kernelization. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [c4]Rudolf Fleischer, Jiong Guo, Rolf Niedermeier, Johannes Uhlmann, Yihui Wang, Mathias Weller, Xi Wu:
Extended Islands of Tractability for Parsimony Haplotyping. CPM 2010: 214-226
2000 – 2009
- 2009
- [c3]Rudolf Fleischer, Xi Wu, Liwei Yuan:
Experimental Study of FPT Algorithms for the Directed Feedback Vertex Set Problem. ESA 2009: 611-622 - [c2]Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huang
Control flow obfuscation with information flow tracking. MICRO 2009: 391-400 - 2008
- [c1]Haibo Chen, Xi Wu, Liwei Yuan, Binyu Zang, Pen-Chung Yew
From Speculation to Security: Practical and Efficient Information Flow Tracking Using Speculative Hardware. ISCA 2008: 401-412
Coauthor Index
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