Brian Yu

According to our database, Brian Yu authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Simple and Effective Input Reformulations for Translation.

Brian Yu, Hansen Lillemark, Kurt Keutzer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.

Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al-Moujahed, Alina Alam, Megan A. Albertelli, Paul Allegakoen, Thomas Ambrosi, Jane Antony, Steven Artandi, Fabienne Aujard, Kyle Awayan, Ankit Baghel, Isaac Bakerman, Trygve E. Bakken, Jalal Baruni, Philip Beachy, Biter Bilen, Olga B. Botvinnik, Scott D. Boyd, Deviana Burhan, Kerriann M. Casey, Charles Chan, Charles A. Chang, Stephen Chang, Ming Chen, Michael F. Clarke, Sheela Crasta, Rebecca Culver, Jessica D'Addabbo, Spyros Darmanis, Roozbeh Dehghannasiri, Song-Lin Ding, Connor V. Duffy, Jacques Epelbaum, F. Hernán Espinoza, Camille Ezran, Jean Farup, James E. Ferrell Jr, Hannah K. Frank, Margaret Fuller, Astrid Gillich, Elias Godoy, Dita Gratzinger, Lisbeth A. Guethlein, Yan Hang, Kazuteru Hasegawa, Rebecca D. Hodge, Malachia Hoover, Franklin W. Huang, Kerwyn Casey Huang, Shelly Huynh, Taichi Isobe, Carly Israel, Sori Jang, Qiuyu Jing, Robert C. Jones, Jengmin Kang, Caitlin J. Karanewsky, Jim Karkanias, Justus Kebschull, Aaron Kershner, Lily Kim, Seung K. Kim, E. Christopher Kirk, Winston Koh, Silvana Konermann, William Kong, Mark A. Krasnow, Christin Kuo, Corinne Lautier, Song Eun Lee, Ed S. Lein, Rebecca Lewis, Peng Li, Shengda Lin, Shixuan Liu, Yin Liu, Gabriel Loeb, Jonathan Z. Long, Wan-Jin Lu, Katherine Lucot, Liqun Luo, Aaron McGeever, Ross Metzger, Jingsi Ming, Thomas J. Montine, Antoine de Morree, Maurizio Morri, Karim Mrouj, Shravani Mukherjee, Ahmad Nabhan, Saba Nafees, Norma Neff, Patrick Neuhöfer, Patricia Nguyen, Jennifer Okamoto, Julia Eve Olivieri, Youcef Ouadah, Honor Paine, Peter Parham, Jozeph L. Pendleton, Lolita Penland, Martine Perret, Angela Oliveira Pisco, Zhen Qi, Stephen R. Quake, Ute Radespiel, Thomas A. Rando, Hajanirina Noëline Ravelonjanahary, Andriamahery Razafindrakoto, Julia Salzman, Nicholas Schaum, Robert Schopler, Bronwyn Scott, Liza Shapiro, Hosu Sin, Rahul Sinha, Rene Sit, Geoff Stanley, Lubert Stryer, Varun Ramanan Subramaniam, Aditi Swarup, Weilun Tan, Alexander Tarashansky, Aris Taychameekiatchai, Jérémy Terrien, Kyle J. Travaglini, Andoni Urtasun, Sivakamasundari, Avin Veerakumar, Venkata Naga Pranathi Vemuri, Jean-Michel Verdier, Iwijn De Vlaminck, Douglas Vollrath, Bo Wang, Bruce Wang, Gefei Wang, Michael F. Z. Wang, Sheng Wang, James Webber, Hannah Weinstein, Irving L. Weissman, Amanda L. Wiggenhorn, Cathy V. Williams, Patricia Wright, Albert Y. Wu, Angela Ruohao Wu, Tony Wyss-Coray, Bao Xiang, Jia Yan, Can Yang, Jinxurong Yang, Anne D. Yoder, Brian Yu, Andrea R. Yung, Yue Zhang, Jia Zhao, Zicheng Zhao

Nat. Comput. Sci., 2022

2021

Interactive Programming Environments for Teachers and Students.

David J. Malan, Kareem Zidane, Brian Yu

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2020

Nifty Assignments.

Nick Parlante, Julie Zelenski, John DeNero, Christopher Allsman, Tiffany Perumpail, Rahul Arya, Kavi Gupta, Catherine Cang, Paul Bitutsky, Ryan Moughan, David J. Malan, Brian Yu, Evan M. Peck, Carl Albing, Kevin Wayne, Keith Schwarz

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Teaching Academic Honesty in CS50.

David J. Malan, Brian Yu, Doug Lloyd

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

CS50's GitHub-Based Tools for Teaching and Learning.

David J. Malan, Chad Sharp, Jelle van Assema, Brian Yu, Kareem Zidane

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Birds of a Feather Who'd Like to Share Software Together: Teaching Tools that Improve Efficiency and Outcomes.

Doug Lloyd, Brian Yu, David J. Malan

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

An Open-Source, API-Based Framework for Assessing the Correctness of Code in CS50.

Chad Sharp, Jelle van Assema, Brian Yu, Kareem Zidane, David J. Malan

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020