Xi Wu - RankMe

54 papers A* 12A 4B 3Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection. ICML Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
2023	J	`jnl`	Bilevel Relations and Their Applications to Data Insights. CoRR Xi Wu, Xiangyao Yu, Shaleen Deep, Ahmed Mahmood, Uyeong Jang, Stratis Viglas, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton
2023	J	`jnl`	Holistic Cube Analysis: A Query Framework for Data Insights. CoRR Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton
2023	A*	`conf`	Stratified Adversarial Robustness with Rejection. ICML Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
2023	J	`jnl`	Stratified Adversarial Robustness with Rejection. CoRR Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
2023	A*	`conf`	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
2023	J	`jnl`	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
2023	J	`jnl`	Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
2022	J	`jnl`	Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu
2022	J	`jnl`	Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu
2022	J	`jnl`	Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu
2022	A*	`conf`	Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
2022	J	`jnl`	Transformer Feature Enhancement Network with Template Update for Object Tracking. Sensors Xiuhua Hu, Huan Liu, Yan Hui, Xi Wu, Jing Zhao
2022	J	`jnl`	Unsupervised Cross-Domain Person Re-Identification Method Based on Attention Block and Refined Clustering. IEEE Access Yan Hui, Xi Wu, Xiuhua Hu, Huan Liu, Shijie You
2021	—	`conf`	ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	DIFF: a relational interface for large-scale data explanation. VLDB J. 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
2021	A*	`conf`	Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Towards Adversarial Robustness via Transductive Learning. CoRR Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
2020	A*	`conf`	Concise Explanations of Neural Networks using Adversarial Training. ICML Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha
2020	J	`jnl`	Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani
2020	J	`jnl`	Robust Out-of-distribution Detection in Neural Networks. CoRR Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2020	J	`jnl`	Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2019	J	`jnl`	Enhancing ML Robustness Using Physical-World Constraints. CoRR Varun Chandrasekaran, Brian Tang, Varsha Pendyala, Kassem Fawaz, Somesh Jha, Xi Wu
2019	A*	`conf`	Robust Attribution Regularization. NeurIPS Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2019	J	`jnl`	Robust Attribution Regularization. CoRR Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2019	A	`conf`	Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2019	—	`conf`	Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent. SIGMOD Conference Fengan Li, Lingjiao Chen, Yijing Zeng, Arun Kumar, Xi Wu, Jeffrey F. Naughton, Jignesh M. Patel
2018	J	`jnl`	Concise Explanations of Neural Networks using Adversarial Training. CoRR Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu
2018	J	`jnl`	DIFF: A Relational Interface for Large-Scale Data Explanation. Proc. VLDB Endow. 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
2018	J	`jnl`	Improving Adversarial Robustness by Data-Specific Discretization. CoRR Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha
2018	A*	`conf`	Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. ICML Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha
2017	—	`conf`	Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics. SIGMOD Conference Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton
2017	J	`jnl`	Manifold Assumption and Defenses Against Adversarial Perturbations. CoRR Xi Wu, Uyeong Jang, Lingjiao Chen, Somesh Jha
2017	A	`conf`	Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning. ACSAC Uyeong Jang, Xi Wu, Somesh Jha
2017	J	`jnl`	When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding. CoRR Fengan Li, Lingjiao Chen, Arun Kumar, Jeffrey F. Naughton, Jignesh M. Patel, Xi Wu
2016	A	`conf`	A Methodology for Formalizing Model-Inversion Attacks. CSF Xi Wu, Matthew Fredrikson, Somesh Jha, Jeffrey F. Naughton
2016	J	`jnl`	Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics. CoRR Xi Wu, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton
2016	A*	`conf`	Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks. IEEE Symposium on Security and Privacy Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami
2015	J	`jnl`	A Completeness Theory for Polynomial (Turing) Kernelization. Algorithmica Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
2015	J	`jnl`	Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks. CoRR Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami
2015	J	`jnl`	Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences. CoRR Xi Wu, Matthew Fredrikson, Wentao Wu, Somesh Jha, Jeffrey F. Naughton
2014	J	`jnl`	Uncertainty Aware Query Execution Time Prediction. CoRR Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
2014	J	`jnl`	Uncertainty Aware Query Execution Time Prediction. Proc. VLDB Endow. Wentao Wu, Xi Wu, Hakan Hacigümüs, Jeffrey F. Naughton
2013	B	`conf`	A Completeness Theory for Polynomial (Turing) Kernelization. IPEC Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
2012	A*	`conf`	Weak compositions and their applications to polynomial lower bounds for kernelization. SODA Danny Hermelin, Xi Wu
2011	B	`conf`	COREMU: a scalable and portable parallel full-system emulator. PPoPP Zhaoguo Wang, Ran Liu, Yufei Chen, Xi Wu, Haibo Chen, Weihua Zhang, Binyu Zang
2011	J	`jnl`	Hierarchies of Inefficient Kernelizability CoRR Danny Hermelin, Stefan Kratsch, Karolina Soltys, Magnus Wahlström, Xi Wu
2011	J	`jnl`	Weak Compositions and Their Applications to Polynomial Lower-Bounds for Kernelization. Electron. Colloquium Comput. Complex. Danny Hermelin, Xi Wu
2010	B	`conf`	Extended Islands of Tractability for Parsimony Haplotyping. CPM Rudolf Fleischer, Jiong Guo, Rolf Niedermeier, Johannes Uhlmann, Yihui Wang, Mathias Weller, Xi Wu
2009	A*	`conf`	Control flow obfuscation with information flow tracking. MICRO Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huang, Pen-Chung Yew
2009	A	`conf`	Experimental Study of FPT Algorithms for the Directed Feedback Vertex Set Problem. ESA Rudolf Fleischer, Xi Wu, Liwei Yuan
2008	A*	`conf`	From Speculation to Security: Practical and Efficient Information Flow Tracking Using Speculative Hardware. ISCA Haibo Chen, Xi Wu, Liwei Yuan, Binyu Zang, Pen-Chung Yew, Frederic T. Chong