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Yuxuan Cai

Yuxuan Cai is a researcher in Foundation Model Group, Megvii Technology, Beijing, China. He graduated from Northeastern University in 2021 with a master degree in Computer Engineering, supervised by Professor Yanzhi Wang. His work has been published in some high-impact conferences (AAAI, NIPS).

His research interests include:

  • Network Architecture Design
  • Foundation Models
  • Self Supervised Learning
  • Model Compression

Useful links:

Contact Me

Publications

Arxiv

Conference publications

  • Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, and Yanzhi Wang, “YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design“, to appear in AAAI, 2021. (Acceptance Rate: 20.9%)

  • Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Bojnordi, Yanzhi Wang, and Caiwen Ding, "TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators," 27'th Annual Design, Automation, and Test in Europe Conference (DATE), 2021

  • Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Yanzhi Wang, “NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration”, to appear in CVPR, 2021

  • Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, and Yanzhi Wang, “A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices”, to appear in AAAI, 2021 (Demonstration Paper).

  • Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Bin Ren, Xue Lin, and Yanzhi Wang, “Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications”, in ASP-DAC, 2021

  • Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, and Yanzhi Wang, “YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design”, in NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving.