Xujie Si

Orcid: 0000-0002-3739-2269

According to our database1, Xujie Si authored at least 43 papers between 2011 and 2024.

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Bibliography

2024
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks.
Trans. Mach. Learn. Res., 2024

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation.
CoRR, 2024

Library Learning Doesn't: The Curious Case of the Single-Use "Library".
CoRR, 2024

Modernizing SMT-Based Type Error Localization.
CoRR, 2024

Assessing Code Generation with Intermediate Languages.
CoRR, 2024

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.
CoRR, 2024

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff.
CoRR, 2024

A Survey on Deep Learning for Theorem Proving.
CoRR, 2024

SAT-DIFF: A Tree Diffing Framework Using SAT Solving.
CoRR, 2024

Learning Minimal NAP Specifications for Neural Network Verification.
CoRR, 2024

Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning.
Proceedings of the AI Verification - First International Symposium, 2024

Autoformalizing Euclidean Geometry.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Can ChatGPT Pass An Introductory Level Functional Language Programming Course?
CoRR, 2023

Identifying Different Student Clusters in Functional Programming Assignments: From Quick Learners to Struggling Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Learning Reliable Logical Rules with SATNet.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Reliable Neural Specifications.
Proceedings of the International Conference on Machine Learning, 2023

Idiolect: A Reconfigurable Voice Coding Assistant.
Proceedings of the 5th IEEE/ACM International Workshop on Bots in Software Engineering, 2023

TorchProbe: Fuzzing Dynamic Deep Learning Compilers.
Proceedings of the Programming Languages and Systems - 21st Asian Symposium, 2023

2022
Scalar Invariant Networks with Zero Bias.
CoRR, 2022

Toward Reliable Neural Specifications.
CoRR, 2022

NSNet: A General Neural Probabilistic Framework for Satisfiability Problems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Novice Type Error Diagnosis with Natural Language Models.
Proceedings of the Programming Languages and Systems - 20th Asian Symposium, 2022

2021
XCheck: a Simple, Effective and Extensible Bug Finder using micro-grammar.
CoRR, 2021

Graph Contrastive Pre-training for Effective Theorem Reasoning.
CoRR, 2021

Data Collection for the Learn-OCaml Programming Platform: Modelling How Students Develop Typed Functional Programs.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Techniques for Symbol Grounding with SATNet.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data-driven Optimization of Inductive Generalization.
Proceedings of the Formal Methods in Computer Aided Design, 2021

2020
Code2Inv: A Deep Learning Framework for Program Verification.
Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

2019
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving.
CoRR, 2019

Continuously reasoning about programs using differential Bayesian inference.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

Synthesizing Datalog Programs using Numerical Relaxation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning a Meta-Solver for Syntax-Guided Program Synthesis.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Syntax-guided synthesis of Datalog programs.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Learning Loop Invariants for Program Verification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Effective interactive resolution of static analysis alarms.
Proc. ACM Program. Lang., 2017

Combining the logical and the probabilistic in program analysis.
Proceedings of the 1st ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2017

Maximum Satisfiability in Software Analysis: Applications and Techniques.
Proceedings of the Computer Aided Verification - 29th International Conference, 2017

2016
APISan: Sanitizing API Usages through Semantic Cross-Checking.
Proceedings of the 25th USENIX Security Symposium, 2016

On Incremental Core-Guided MaxSAT Solving.
Proceedings of the Principles and Practice of Constraint Programming, 2016

2014
A Dynamic Load-balancing Scheme for XPath Queries Parallelization in Shared Memory Multi-core Systems.
J. Comput., 2014

Automated black-box detection of access control vulnerabilities in web applications.
Proceedings of the Fourth ACM Conference on Data and Application Security and Privacy, 2014

2011
Parallel Optimization of Queries in XML Dataset Using GPU.
Proceedings of the Fourth International Symposium on Parallel Architectures, 2011


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