Undergraduate students' names are in bold. Entries are organized by year and only include data from recent years. Note that this list may not be exhaustive.
If you want to submit an entry, please contact the Meta Undergraduate Research Assistants (MURAs) at mura@cs.brown.edu.
Nihal V. Nayak, Yiyang Nan, Avi Trost, and Stephen H. Bach
Meeting of the Association for Computational Linguistics (ACL) Findings 2024
Franco Solleza, Shihang Li, William Sun, Richard Tang, Malte Schwarzkopf, Nesume Tatbul, Andrew Crotty, David Cohen, Stan Zdonik
VLDB 2024 (Demo Track)
Kinan Dak Albab, Artem Agvanian, Allen Aby, Corinn Tiffany, Alexander Portland, Sarah Ridley, Malte Schwarzkopf
SOSP 2024
Conrad Zimmerman, Jenna DiVincenzo, Jonathan Aldrich
Principles of Programming Languages (POPL) 2024
Cristina Menghini, Andrew Delworth, and Stephen H. Bach
Neural Information Processing Systems (NeurIPS) 2023
Yuanhao Wang, Qian Zhang, Celine Aubuchon, Jovan Kemp, Fulvio Domini, James Tompkin
ACM Transactions on Applied Perception 2023
Yiqing Liang, Eliot Laidlaw, Alexander Meyerowitz, Srinath Sridhar, James Tompkin
International Conference on Computer Vision (ICCV) 2023
Megan Frisella, Shirley Loayza Sanchez, Malte Schwarzkopf
HotOS 2023
Kinan Dak Albab, Ishan Sharma, Justus Adam, Benjamin Kilimnik, Aaron Jeyaraj, Raj Paul, Artem Agvanian, Leonhard Spiegelberg, Malte Schwarzkopf
OSDI 2023
Edna: Disguising and Revealing User Data in Web Applications (the URL doesn't work yet because the paper isn't out yet, but it will once it's published in October)
Lillian Tsai, Hannah Gross, Eddie Kohler, Frans Kaashoek, Malte Schwarzkopf
SOSP 2023
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas
CVPR (Conference on Computer Vision and Pattern Recognition), 2023
Zhiyuan Zhou, Henry Sowerby, Michael Littman
ICML workshop (MFPL), 2023
Emmanuel Schanzer, Nancy Pfenning, Flannery Denny, Sam Dooman, Joe Gibbs Politz, Benjamin S. Lerner, Kathi Fisler, Shriram Krishnamurthi
ACM Technical Symposium on Computer Science Education, 2022
Shriram Krishnamurthi, Anika Bahl, Benjamin Lee, Steven Sloman
Koli Calling 2022
Tim Nelson, Elijah Rivera, Sam Soucie, Thomas Del Vecchio, Jack Wrenn, Shriram Krishnamurthi
The Art, Science, and Engineering of Programming, 2022
Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen H. Bach, and Hima Lakkaraju
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 2022
Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach
Conference on Machine Learning and Systems (MLSys) 2022
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Eurographics State of the Art Report + CVPR Tutorial, 2022
Bridging the Social Distance: Offline to Online Social Support during the COVID-19 Pandemic
Gabriela Hoefer, Talie Massachi, Neil Xu, Nicole Nugent, Jeff Huang
CSCW 2022, Article 429
Archita Agarwal, Marilyn George, Aaron Jeyaraj, Malte Schwarzkopf
In Proceedings of VLDB 2022Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach
Neural Information Processing Systems (NeurIPS) 2022
Rao Fu, Xiao (Sean) Zhan, Yiwen Chen, Daniel Ritchie, Srinath Sridhar
NeurIPS 2022
SHRED: 3D Shape Region Decomposition with Learned Local Operations
R. Kenny Jones, Aalia Habib, Daniel Ritchie
SIGGRAPH Asia 2022
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections
Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie
SIGGRAPH 2022
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions
R. Kenny Jones, Homer Walke, Daniel Ritchie
CVPR 2022
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference
R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie
CVPR 2022
Learning to Infer Kinematic Hierarchies for Novel Object Instances
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
ICRA 2022
Characterizing the Action-Generalization Gap in Deep Q-Learning
Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris
Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2022.
Designing Rewards for Fast Learning
Henry Sowerby, Zhiyuan Zhou, Michael Littman
Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2022. (Oral)
Hemant Gouni*, Conrad Zimmerman* (joint first-author)
SPLASH 2021 Student Research Competition
Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, and Eli Upfal
International Conference on Machine Learning (ICML) 2021
Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, and Stephen H. Bach
Artificial Intelligence and Statistics (AISTATS) 2021
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O'Toole
Advances in Neural Information Processing Systems (NeurIPS), 2021
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
BMVC 2021 and CVPR Workshop on AI for Content Creation, 2021
Abigail Siegel, Mia Santomauro, Tristan Dyer, Tim Nelson, Shriram Krishnamurthi
FestSchrift for Joshua Guttman, 2021
Nick Young, Shriram Krishnamurthi
SIGCSE International Computing Education Research Conference, 2021
The UX Factor: Using Comparative Peer Review to Evaluate Designs through User Preferences
Sarah Bawabe, Laura Wilson, Tongyu Zhou, Ezra Marks, Jeff Huang
CSCW 2021, Article 476. Impact Recognition, and Honorable Mention
Case Studies on the Motivation and Performance of Contributors Who Verify and Maintain In-Flux Tabular Datasets
Shaun Wallace, Alexandra Papoutsaki, Neilly Tan, Hua Guo, Jeff Huang
CSCW 2021, Article 448
Portalware: Exploring Free-Hand AR Drawing with a Dual-Display Smartphone-Wearable Paradigm
Jing Qian, Tongyu Zhou, Meredith Young-Ng, Jiaju Ma, Angel Cheung, Xiangyu Li, Ian Gonsher, Jeff Huang
DIS 2021, 205–219.
Self-E: Smartphone-Supported Guidance for Customizable Self-Experimentation
Nediyana Daskalova, Eindra Kyi, Kevin Ouyang, Arthur Borem, Sally Chen, Sung Hyun Park, Nicole Nugent, Jeff Huang
CHI 2021, Article 227.
Sketchy: Drawing Inspiration from the Crowd
Shaun Wallace, Brendan Le, Luis Leiva, Aman Haq, Ari Kintisch, Gabrielle Bufrem, Linda Chang, Jeff Huang
CSCW 2020, Article 172.
SleepBandits: Guided Flexible Self-Experiments for Sleep
Nediyana Daskalova, Jina Yoon, Lisa Wang, Cintia Araujo, Guillermo Beltran, Nicole Nugent, John McGeary, Joseph Jay Williams, Jeff Huang
CHI 2020, Article 457
Talie Massachi, Grant Fong, Varun Mathur, Sachin Pendse, Gabriela Hoefer, Jessica Fu, Chong Wang, Nikita Ramoji, Nicole Nugent, Megan Ranney, Daniel Dickstein, Michael Armey, Ellie Pavlick, Jeff Huang
CSCW 2020, Article 111
Nediyana Daskalova, Jina Yoon, Lisa Wang, Cintia Araujo, Guillermo Beltran, Nicole Nugent, John McGeary, Joseph Jay Williams, Jeff Huang.
CHI 2020, Article 457.
Kevin Dackow, Andrew Wagner, Tim Nelson, Shriram Krishnamurthi, Theophilus Benson
ACM SIGCOMM Workshop on Hot Topics in Networks, 2020
Xingjian Gu, Max A. Heller, Stella Li, Yanyan Ren, Kathi Fisler, Shriram Krishnamurthi
SIGCSE International Computing Education Research Conference, 2020
Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex.
IROS, 2020
Esteban Safranchik, Shiying Luo, Stephen H Bach
AAAI, 2020
Atsunobu Kotani, Stefanie Tellex, James Tompkin.
ECCV, 2020.
Daniel Adkins, Archita Agarwal, Seny Kamara, Tarik Moataz.
Advances in Financial Technologies, 2020
Shriram Krishnamurthi, Benjamin S. Lerner, Liam Elberty
Summit on Advances in Programming Languages, 2019
Joe Gibbs Politz, Benjamin S. Lerner, Sorawee Porncharoenwase, Shriram Krishnamurthi
The Art, Science, and Engineering of Programming, 2019
Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris.
AAMAS, 2019.
