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2020 – today
- 2025
[i28]Chuqin Geng, Xiaojie Xu, Zhaoyue Wang, Ziyu Zhao, Xujie Si:
Decoding Interpretable Logic Rules from Neural Networks. CoRR abs/2501.08281 (2025)- 2024
- [j3]Zhaoyu Li, Jinpei Guo, Xujie Si:
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c27]Logan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie Si:
Autoformalizing Euclidean Geometry. ICML 2024 - [c26]Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer:
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. NeurIPS 2024 - [c25]Hao Tang, Keya Hu, Jin Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis:
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. NeurIPS 2024 - [c24]Ziyan Luo, Xujie Si:
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning. SAIV 2024: 1-28 - [i27]Chuqin Geng, Zhaoyue Wang, Haolin Ye, Saifei Liao, Xujie Si:
Learning Minimal NAP Specifications for Neural Network Verification. CoRR abs/2404.04662 (2024) - [i26]Chuqin Geng, Haolin Ye, Yihan Zhang, Brigitte Pientka, Xujie Si:
SAT-DIFF: A Tree Diffing Framework Using SAT Solving. CoRR abs/2404.04731 (2024) - [i25]Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si:
A Survey on Deep Learning for Theorem Proving. CoRR abs/2404.09939 (2024) - [i24]Logan Murphy, Kaiyu Yang, Jialiang Sun, Zhaoyu Li, Anima Anandkumar, Xujie Si:
Autoformalizing Euclidean Geometry. CoRR abs/2405.17216 (2024) - [i23]Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis:
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. CoRR abs/2405.17503 (2024) - [i22]Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si:
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR abs/2406.13161 (2024) - [i21]Xun Deng, Sicheng Zhong, Honghua Dong, Jingyu Hu, Sidi Mohamed Beillahi, Xujie Si, Fan Long:
Assessing Code Generation with Intermediate Languages. CoRR abs/2407.05411 (2024) - [i20]Max Kopinsky, Brigitte Pientka, Xujie Si:
Modernizing SMT-Based Type Error Localization. CoRR abs/2408.09034 (2024) - [i19]Ian Berlot-Attwell, Frank Rudzicz, Xujie Si:
Library Learning Doesn't: The Curious Case of the Single-Use "Library". CoRR abs/2410.20274 (2024) - [i18]Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer:
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. CoRR abs/2411.00773 (2024) - [i17]Youyuan Zhang, Zehua Liu, Zenan Li, Zhaoyu Li, James J. Clark, Xujie Si:
Decoupling Training-Free Guided Diffusion by ADMM. CoRR abs/2411.12773 (2024) - 2023
- [c23]Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si:
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. APLAS 2023: 310-331 - [c22]Breandan Considine, Nicholas Albion, Xujie Si:
Idiolect: A Reconfigurable Voice Coding Assistant. BotSE 2023: 14-18 - [c21]Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si:
Towards Reliable Neural Specifications. ICML 2023: 11196-11212 - [c20]Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si:
Learning Reliable Logical Rules with SATNet. NeurIPS 2023 - [c19]Chuqin Geng
, Wenwen Xu, Yingjie Xu, Brigitte Pientka, Xujie Si:
Identifying Different Student Clusters in Functional Programming Assignments: From Quick Learners to Struggling Students. SIGCSE (1) 2023: 750-756 - [i16]Chuqin Geng, Wenwen Xu, Yingjie Xu, Brigitte Pientka, Xujie Si:
Identifying Different Student Clusters in Functional Programming Assignments: From Quick Learners to Struggling Students. CoRR abs/2301.02611 (2023) - [i15]Ziyan Luo, Xujie Si:
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning. CoRR abs/2305.01206 (2023) - [i14]Chuqin Geng, Yihan Zhang, Brigitte Pientka, Xujie Si:
Can ChatGPT Pass An Introductory Level Functional Language Programming Course? CoRR abs/2305.02230 (2023) - [i13]Breandan Considine, Nicholas Albion, Xujie Si:
Idiolect: A Reconfigurable Voice Coding Assistant. CoRR abs/2305.03089 (2023) - [i12]Zhaoyu Li, Jinpei Guo, Xujie Si:
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks. CoRR abs/2309.16941 (2023) - [i11]Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si:
Learning Reliable Logical Rules with SATNet. CoRR abs/2310.02133 (2023) - [i10]Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si:
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. CoRR abs/2310.20078 (2023) - 2022
- [c18]Chuqin Geng, Haolin Ye, Yixuan Li, Tianyu Han, Brigitte Pientka, Xujie Si:
Novice Type Error Diagnosis with Natural Language Models. APLAS 2022: 196-214 - [c17]Zhaoyu Li, Xujie Si:
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems. NeurIPS 2022 - [i9]Chuqin Geng, Haolin Ye, Yixuan Li, Tianyu Han, Brigitte Pientka, Xujie Si:
Novice Type Error Diagnosis with Natural Language Models. CoRR abs/2210.03682 (2022) - [i8]Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si:
Toward Reliable Neural Specifications. CoRR abs/2210.16114 (2022) - [i7]Zhaoyu Li, Xujie Si:
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems. CoRR abs/2211.03880 (2022) - [i6]Chuqin Geng, Xiaojie Xu, Haolin Ye, Xujie Si:
Scalar Invariant Networks with Zero Bias. CoRR abs/2211.08486 (2022) - 2021
- [c16]Nham Le, Xujie Si, Arie Gurfinkel:
Data-driven Optimization of Inductive Generalization. FMCAD 2021: 86-95 - [c15]Sever Topan, David Rolnick, Xujie Si:
Techniques for Symbol Grounding with SATNet. NeurIPS 2021: 20733-20744 - [c14]Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si:
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. NeurIPS 2021: 25134-25145 - [c13]Alana Ceci, Hanneli C. A. Tavante, Brigitte Pientka, Xujie Si:
Data Collection for the Learn-OCaml Programming Platform: Modelling How Students Develop Typed Functional Programs. SIGCSE 2021: 1341 - [i5]Sever Topan, David Rolnick, Xujie Si:
Techniques for Symbol Grounding with SATNet. CoRR abs/2106.11072 (2021) - [i4]Zhaoyu Li, Binghong Chen, Xujie Si:
Graph Contrastive Pre-training for Effective Theorem Reasoning. CoRR abs/2108.10821 (2021) - [i3]Hanwen Zhu, Junyoung Jang, Xujie Si:
XCheck: a Simple, Effective and Extensible Bug Finder using micro-grammar. CoRR abs/2112.08010 (2021) - 2020
- [c12]Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song:
Code2Inv: A Deep Learning Framework for Program Verification. CAV (2) 2020: 151-164
2010 – 2019
- 2019
- [c11]Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song:
Learning a Meta-Solver for Syntax-Guided Program Synthesis. ICLR (Poster) 2019 - [c10]Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs using Numerical Relaxation. IJCAI 2019: 6117-6124 - [c9]Kihong Heo, Mukund Raghothaman, Xujie Si, Mayur Naik:
Continuously reasoning about programs using differential Bayesian inference. PLDI 2019: 561-575 - [i2]Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs Using Numerical Relaxation. CoRR abs/1906.00163 (2019) - [i1]Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno:
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. CoRR abs/1912.05906 (2019) - 2018
- [c8]Xujie Si, Hanjun Dai, Mukund Raghothaman, Mayur Naik, Le Song:
Learning Loop Invariants for Program Verification. NeurIPS 2018: 7762-7773 - [c7]Xujie Si, Woosuk Lee, Richard Zhang, Aws Albarghouthi, Paraschos Koutris, Mayur Naik:
Syntax-guided synthesis of Datalog programs. ESEC/SIGSOFT FSE 2018: 515-527 - 2017
- [j2]Xin Zhang, Radu Grigore, Xujie Si, Mayur Naik:
Effective interactive resolution of static analysis alarms. Proc. ACM Program. Lang. 1(OOPSLA): 57:1-57:30 (2017) - [c6]Xujie Si, Xin Zhang, Radu Grigore, Mayur Naik:
Maximum Satisfiability in Software Analysis: Applications and Techniques. CAV (1) 2017: 68-94 - [c5]Xin Zhang, Xujie Si, Mayur Naik:
Combining the logical and the probabilistic in program analysis. MAPL@PLDI 2017: 27-34 - 2016
- [c4]Xujie Si, Xin Zhang, Vasco Manquinho, Mikolás Janota, Alexey Ignatiev, Mayur Naik:
On Incremental Core-Guided MaxSAT Solving. CP 2016: 473-482 - [c3]Insu Yun, Changwoo Min, Xujie Si, Yeongjin Jang, Taesoo Kim, Mayur Naik:
APISan: Sanitizing API Usages through Semantic Cross-Checking. USENIX Security Symposium 2016: 363-378 - 2014
- [j1]Xiaocheng Huang, Xujie Si, Xiaojie Yuan, Chao Wang:
A Dynamic Load-balancing Scheme for XPath Queries Parallelization in Shared Memory Multi-core Systems. J. Comput. 9(6): 1436-1445 (2014) - [c2]Xiaowei Li, Xujie Si, Yuan Xue:
Automated black-box detection of access control vulnerabilities in web applications. CODASPY 2014: 49-60 - 2011
- [c1]Xujie Si, Airu Yin, Xiaocheng Huang, Xiaojie Yuan, Xiaoguang Liu, Gang Wang:
Parallel Optimization of Queries in XML Dataset Using GPU. PAAP 2011: 190-194
Coauthor Index
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last updated on 2025-02-24 22:35 CET by the dblp team
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