Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Publications
Publications by Year
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Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
Applied Network Science | July 2023
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid
Rabab Haider, Yixing Xu, Weiwei Yang
AMC International conference on Future of Energy Systems | June 2023
A Frequency Domain Approach to Predict Power System Transients
Wenqi Cui, Weiwei Yang, Baosen Zhang
IEEE Transactions on Power Systems | March 2023
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Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
Mental State Classification Using Multi-Graph Features
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Frontiers in Human Neuroscience | June 2022
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Inducing a hierarchy for multi-class classification problems
Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
Arxiv | February 2021, Vol 2102.10263
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A partition-based similarity for classification distributions.
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
November 2020
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
May 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
April 2020
Publications by Research Area
-
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
-
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
Inducing a hierarchy for multi-class classification problems
Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
Arxiv | February 2021, Vol 2102.10263
A partition-based similarity for classification distributions.
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
November 2020
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
April 2020
-
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
Applied Network Science | July 2023
-
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid
Rabab Haider, Yixing Xu, Weiwei Yang
AMC International conference on Future of Energy Systems | June 2023
A Frequency Domain Approach to Predict Power System Transients
Wenqi Cui, Weiwei Yang, Baosen Zhang
IEEE Transactions on Power Systems | March 2023
-
Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
-
Mental State Classification Using Multi-Graph Features
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Frontiers in Human Neuroscience | June 2022
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
May 2020
-
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
May 2020
-
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
May 2020
Publications by Type
-
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
Xin Jin, Jonathan Larson, Weiwei Yang, Zhiqiang Lin
December 2023
A partition-based similarity for classification distributions.
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
November 2020
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
September 2020
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
May 2020
A general approach to progressive learning
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
April 2020
-
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
Applied Network Science | July 2023
A Frequency Domain Approach to Predict Power System Transients
Wenqi Cui, Weiwei Yang, Baosen Zhang
IEEE Transactions on Power Systems | March 2023
Distance-based Positive and Unlabeled Learning for Ranking
Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
Pattern Recognition | October 2022
Mental State Classification Using Multi-Graph Features
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Frontiers in Human Neuroscience | June 2022
Inducing a hierarchy for multi-class classification problems
Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
Arxiv | February 2021, Vol 2102.10263
-
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid
Rabab Haider, Yixing Xu, Weiwei Yang
AMC International conference on Future of Energy Systems | June 2023
-
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
June 2020