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ORCIDGabriel Ryan
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2020 – today
- 2024
[j3]Gabriel Ryan
, Burcu Cetin, Yongwhan Lim, Suman Jana:
Accurate Data Race Prediction in the Linux Kernel through Sparse Fourier Learning. Proc. ACM Program. Lang. 8(OOPSLA1): 810-832 (2024)- [j2]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1(FSE): 951-971 (2024) - [i6]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - 2023
- [c7]Gabriel Ryan, Abhishek Shah, Dongdong She, Suman Jana:
Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis. SP 2023: 2086-2103 - 2022
- [c6]Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, Shuvendu K. Lahiri:
TOGA: A Neural Method for Test Oracle Generation. ICSE 2022: 2130-2141 - 2021
- [c5]Jianan Yao, Runzhou Tao, Ronghui Gu, Jason Nieh, Suman Jana, Gabriel Ryan:
DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols. OSDI 2021: 405-421 - [c4]Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, Suman Jana:
Fine Grained Dataflow Tracking with Proximal Gradients. USENIX Security Symposium 2021: 1611-1628 - [i5]Elizabeth Dinella, Shuvendu K. Lahiri, Todd Mytkowicz, Gabriel Ryan:
Neural Unit Test Suggestions. CoRR abs/2109.09262 (2021) - 2020
- [c3]Gabriel Ryan, Justin Wong, Jianan Yao, Ronghui Gu, Suman Jana:
CLN2INV: Learning Loop Invariants with Continuous Logic Networks. ICLR 2020 - [c2]Jianan Yao, Gabriel Ryan, Justin Wong, Suman Jana, Ronghui Gu:
Learning nonlinear loop invariants with gated continuous logic networks. PLDI 2020: 106-120 - [i4]Jianan Yao, Gabriel Ryan, Justin Wong, Suman Jana, Ronghui Gu:
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks. CoRR abs/2003.07959 (2020)
2010 – 2019
- 2019
- [j1]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. IEEE Trans. Vis. Comput. Graph. 25(1): 872-881 (2019) - [i3]Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, Suman Jana:
Fine Grained Dataflow Tracking with Proximal Gradients. CoRR abs/1909.03461 (2019) - [i2]Gabriel Ryan, Justin Wong, Jianan Yao, Ronghui Gu, Suman Jana:
CLN2INV: Learning Loop Invariants with Continuous Logic Networks. CoRR abs/1909.11542 (2019) - 2018
- [c1]Preetam Dutta, Gabriel Ryan, Aleksander Zieba, Salvatore J. Stolfo:
Simulated User Bots: Real Time Testing of Insider Threat Detection Systems. IEEE Symposium on Security and Privacy Workshops 2018: 228-236 - [i1]Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu:
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. CoRR abs/1811.03180 (2018)
Coauthor Index
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