Andrew Tran - RankMe

27 papers A* 1C 4Misc 2Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Hacking Student Leadership: Peer Mentorship and Leadership Skill Development Among Hackathon Organizers. SIGCSE (2) Kush Patel, Andrew Tran, Christine Kapp, Daniel Bicalho, Yatri Patel, Chiku Okechukwu, Egi Rama, Stephen MacNeil
2025	J	`jnl`	TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. CoRR Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2025	J	`jnl`	Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations. CoRR Anka Reuel, Avijit Ghosh, Jenny Chim, Andrew Tran, Yanan Long, Jennifer Mickel, Usman Gohar, Srishti Yadav, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni, Yohan Mathew, Kevin Klyman, Jeba Sania, Subramanyam Sahoo, Olivia Beyer Bruvik, Pouya Sadeghi, Sujata S. Goswami, Angelina Wang, Yacine Jernite, Zeerak Talat, Stella Biderman, Mykel J. Kochenderfer, Sanmi Koyejo, Irene Solaiman
2024	C	`conf`	Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. ACE Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2024	C	`conf`	Moderating Technostress for Enhanced Student Learning Experiences: A Stress-is-Enhancing Mindset Approach. ICIS Andrew Tran, Zixiu Guo, Carmen Leong, Giuseppe Daniele Ibello
2023	—	`conf`	Automatically Generating CS Learning Materials with Large Language Models. SIGCSE (2) Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
2023	—	`conf`	Comparing Code Explanations Created by Students and Large Language Models. ITiCSE (1) Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
2023	J	`jnl`	Comparing Code Explanations Created by Students and Large Language Models. CoRR Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
2023	J	`jnl`	Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. CoRR Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2023	—	`conf`	Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. SIGCSE (1) Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
2023	C	`conf`	Generating Multiple Choice Questions for Computing Courses Using Large Language Models. FIE Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith IV, Stephen MacNeil
2023	—	`conf`	GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. ClinicalNLP@ACL Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein
2023	J	`jnl`	GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. CoRR Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein
2023	J	`jnl`	Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. CoRR Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil
2023	—	`conf`	The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A. Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar
2023	—	`conf`	Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets. ICER (2) Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil
2022	J	`jnl`	Automatically Generating CS Learning Materials with Large Language Models. CoRR Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
2022	J	`jnl`	Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. CoRR Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
2022	—	`conf`	Generating Diverse Code Explanations using the GPT-3 Large Language Model. ICER (2) Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang
2020	C	`conf`	Extend: A Framework for Increasing Energy Access by Interconnecting Solar Home Systems. COMPASS Santiago Correa, Noman Bashir, Andrew Tran, David Irwin, Jay Taneja
2020	J	`jnl`	arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014. J. Open Source Softw. Steven Rich, Andrew Tran, Aaron Williams, Jason Holt, Jeffery Sauer, Taylor Oshan
2019	Misc	`conf`	Visual Analytic Process to Familiarize the Average Person with Ways to Apply Machine Learning. Visualization and Data Analysis Andrew Tran, Yamini Dasu, Anna Baynes
2016	Misc	`conf`	MoBI-Box: A next generation Mobile Brain-Body Imaging Platform. CogSIMA Ying Choon Wu, Jeffery Wang, Andrew Tran, Alex Schperberg, John Caldwell, Tzyy-Ping Jung, Po-Chih Kuo
2010	—	`conf`	TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. SemEval@ACL Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
2010	—	`conf`	Word sense distribution in a web corpus. IEEE ICCI Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz
2009	—	`conf`	Hashing it out in public: common failure modes of DHT-based anonymity schemes. WPES Andrew Tran, Nicholas Hopper, Yongdae Kim
2009	A*	`conf`	Scalable onion routing with torsk. CCS Jon McLachlan, Andrew Tran, Nicholas Hopper, Yongdae Kim