Matthew Yu

According to our database, Matthew Yu authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

Deriving Instructional Insights from Human-LLM Co-Evaluation of Student Collaboration in Data-Centric Programming.

Marshall An, Christine Kwon, Yoonjae Lee, Ji-Hyeon Hur, Dongho Lee, Vincent Huai, Barry Zheng, Matthew Yu, Joana Liu, Jenny Pugh, Gahgene Gweon, John C. Stamper

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

2025

Text-to-Image Generation Post-Training with Pixel-Space Loss.

Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam S. Tsai, Peter Vajda, Zijian He, Jialiang Wang

Proceedings of the 3rd International Workshop on Rich Media With Generative AI, 2025

2024

Pixel-Space Post-Training of Latent Diffusion Models.

Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam S. Tsai, Peter Vajda, Zijian He, Jialiang Wang

CoRR, 2024

2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

CoRR, 2023

A Practical Stereo Depth System for Smart Glasses.

Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.

Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda

CoRR, 2021

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.

Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

One shot 3D photography.

Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen

ACM Trans. Graph., 2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.

Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

CoRR, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.

Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020