Chuqin Geng

Orcid: 0000-0002-3563-1596

According to our database1, Chuqin Geng authored at least 14 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Extracting Interpretable Logic Rules from Graph Neural Networks.
CoRR, March, 2025

Learning Interpretable Logic Rules from Deep Vision Models.
CoRR, March, 2025

Decoding Interpretable Logic Rules from Neural Networks.
CoRR, January, 2025

Learning Minimal Neural Specifications.
Proceedings of the International Conference on Neuro-symbolic Systems, 2025

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

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

Towards Robust Saliency Maps.
Proceedings of the Asian 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

Scalar Invariant Networks with Zero Bias.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

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

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

2022
Toward Reliable Neural Specifications.
CoRR, 2022

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


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