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Xin Zhang
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Automatic parameter recommendation for practical API usage
C Zhang, J Yang, Y Zhang, J Fan, X Zhang, J Zhao, P Ou
2012 34th International Conference on Software Engineering (ICSE), 826-836, 2012
1592012
A user-guided approach to program analysis
R Mangal, X Zhang, AV Nori, M Naik
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
1032015
On abstraction refinement for program analyses in Datalog
X Zhang, R Mangal, R Grigore, M Naik, H Yang
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014
982014
FlexJava: Language support for safe and modular approximate programming
J Park, H Esmaeilzadeh, X Zhang, M Naik, W Harris
Proceedings of the 2015 10th Joint Meeting on Foundations of Software …, 2015
802015
Probabilistic verification of fairness properties via concentration
O Bastani, X Zhang, A Solar-Lezama
Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-27, 2019
792019
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
X Zhang, A Solar-Lezama, R Singh
Advances in Neural Information Processing Systems, 4874-4885, 2018
602018
Hybrid top-down and bottom-up interprocedural analysis
X Zhang, R Mangal, M Naik, H Yang
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014
512014
Finding optimum abstractions in parametric dataflow analysis
X Zhang, M Naik, H Yang
Proceedings of the 34th ACM SIGPLAN conference on Programming language …, 2013
402013
Expectation-oriented framework for automating approximate programming
J Park, K Ni, X Zhang, H Esmaeilzadeh, M Naik
Workshop on Approximate Computing Across the System Stack (WACAS), 2014
33*2014
Effective interactive resolution of static analysis alarms
X Zhang, R Grigore, X Si, M Naik
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-30, 2017
322017
Accelerating program analyses by cross-program training
S Kulkarni, R Mangal, X Zhang, M Naik
ACM SIGPLAN Notices 51 (10), 359-377, 2016
252016
Maximum Satisfiability in Software Analysis: Applications and Techniques
X Si, X Zhang, R Grigore, M Naik
International Conference on Computer Aided Verification, 68-94, 2017
192017
Volt: A lazy grounding framework for solving very large MaxSAT instances
R Mangal, X Zhang, AV Nori, M Naik
International Conference on Theory and Applications of Satisfiability …, 2015
132015
A language for counterfactual generative models
Z Tavares, J Koppel, X Zhang, R Das, A Solar-Lezama
International Conference on Machine Learning, 10173-10182, 2021
122021
Scaling relational inference using proofs and refutations
R Mangal, X Zhang, A Kamath, AV Nori, M Naik
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Fault Localization via Efficient Probabilistic Modeling of Program Semantics
M Zeng, Y Wu, Z Ye, Y Xiong, X Zhang, L Zhang
a= a 1, 5, 2022
112022
Query-guided maximum satisfiability
X Zhang, R Mangal, AV Nori, M Naik
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2016
112016
Combining the logical and the probabilistic in program analysis
X Zhang, X Si, M Naik
Proceedings of the 1st ACM SIGPLAN International Workshop on Machine …, 2017
102017
On incremental core-guided maxsat solving
X Si, X Zhang, V Manquinho, M Janota, A Ignatiev, M Naik
International Conference on Principles and Practice of Constraint …, 2016
102016
The Random Conditional Distribution for Higher-Order Probabilistic Inference
Z Tavares, X Zhang, E Minaysan, J Burroni, R Ranganath, AS Lezama
arXiv preprint arXiv:1903.10556, 2019
72019
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Articles 1–20