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Author

Charles Jin

Observed names: Charles Chuan Jin, Jin, Charles
ORCID: 0000-0001-6871-5764
Observed ORCID: 0000-0001-6871-5764
OpenAlex ID: A5073714739
Emergent Representations of Program Semantics in Language Models Trained on Programs
2023 · Jin, Charles, Rinard, Martin · arXiv (Cornell University) · 9
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Manifold Regularization for Locally Stable Deep Neural Networks
2020 · Jin, Charles, Rinard, Martin · arXiv (Cornell University) · 9
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Development of a pancreatic cancer prediction model using a multinational medical records database.
2021 · Limor Appelbaum, Alexandra Berg, et al. · Journal of Clinical Oncology · 7
Neural architecture search using property guided synthesis
2022 · Charles Jin, Phitchaya Mangpo Phothilimthana, et al. · Proceedings of the ACM on Programming Languages · 6
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Manifold Regularization for Adversarial Robustness
2020 · Charles Jin, Martin Rinard · arXiv (Cornell University) · 6
Analysis of Explicit vs. Implicit Tasking in OpenMP Using Kripke
2018 · Charles Jin, Muthu Baskaran · 5
Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer
2019 · Charles Jin, Muthu Baskaran, et al. · IEEE High Performance Extreme Computing Conference · 3
Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
2024 · Jin, Charles, Rinard, Martin · arXiv (Cornell University) · 1
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Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
2021 · Jin, Charles, Sun, Melinda, et al. · arXiv (Cornell University) · 1
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Learning From Context-Agnostic Synthetic Data.
2020 · Charles Jin, Martin Rinard · arXiv (Cornell University) · 1
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
2025 · Xu, Iris, Zeng, Guangtao, et al. · arXiv (Cornell University)
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Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems
2023 · Jin, Charles, Hong, Zhang-Wei, et al. · arXiv (Cornell University)
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Context-Agnostic Learning Using Synthetic Data
2021 · Charles Jin, Martin Rinard
Automatic Mapping and Optimization to Kokkos with Polyhedral Compilation
2020 · Muthu Baskaran, Charles Jin, et al. · IEEE High Performance Extreme Computing Conference
Towards Context-Agnostic Learning Using Synthetic Data
2020 · Jin, Charles, Rinard, Martin · arXiv (Cornell University)
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POSTER: Automatic Parallelization Targeting Asynchronous Task-Based Runtimes
2019 · Charles Jin, Muthu Baskaran, et al. · International Conference on Parallel Architectures and Compilation Techniques
Kripkeを用いたOpenMPにおける明示的対暗黙的タスクの分析【JST・京大機械翻訳】
2018 · Jin Charles, Baskaran Muthu · IEEE Conference Proceedings
Works count: 15
Citation count: 48
H-index: 5
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