Zhuoning Yuan, Ph.D. Senior Research Scientist & Tech Lead @ Netflix Email: yzhuoning [at] gmail [dot] com Copy

About Me

I am a Senior Research Scientist and Tech Lead at Netflix, where my work focuses on image & video understanding and generation. Before that, I received my PhD from University of Iowa advised by Prof. Tianbao Yang. Here is my Google Scholar Citation.

Research Interests

My research interests focus on developing scalable algorithmic solutions for real-world applications. My current research directions include:

• Scalable image and video diffusion models
• Long-form video understanding with VLMs
• Agentic image and video editing

Experience

• June 2023 - Present, Senior Research Scientist & Tech Lead @ Netflix

• June 2018 - Aug. 2022, Research Intern @ Netflix, General Motors, Tencent AI Lab, KLA

Selected Publications [Full List]

• New! VOID: Video Object and Interaction Deletion.

  Saman Motamed, William Harvey, Benjamin Klein, Luc Van Gool, Zhuoning Yuan, Ta-Ying Cheng
  arXiv 2026
  [Paper][Website][Code]

• LibAUC: A Deep Learning Library for X-risk Optimization.

  Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
  ACM Knowledge Discovery and Data Mining (KDD 2023)
  [Paper][Website][Code]

• Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.

  Zhuoning Yuan, Yuexin Wu, Zihao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang
  International Conference on Machine Learning (ICML 2022)
  [Paper][Code]

• Compositional Training for End-to-End Deep AUC Maximization.

  Zhuoning Yuan, Zhishuai Guo, Nitesh Chawla, Tianbao Yang
  International Conference on Learning Representations (ICLR 2022) (Spotlight)
  [Paper][Code]

• Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.

  Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
  International Conference on Computer Vision (ICCV 2021)
  [Paper][Code]

• Accelerating Deep Learning with Millions of Classes.

  Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
  European Conference on Computer Vision (ECCV 2020)
  [Paper]

• Stagewise Training Accelerates Convergence of Testing Error Over SGD.

  Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
  Neural Information Processing Systems (NeurIPS 2019)
  [Paper] [Code]

• Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data.

  Zhuoning Yuan, Xun Zhou, Tianbao Yang
  ACM Knowledge Discovery and Data Mining (KDD 2018)
  [Paper][Code] [Video]

Awards & Competitions

• 1st / 28, OGB Graph Property Prediction (molhiv), October 2021 (by Stanford SNAP)

• 1st / 180, CheXpert Competition, September 2020 (by Stanford ML Group)

• Top 1% (33rd / 3,314), SIIM-ISIC Melanoma Classification, August 2020 (by Kaggle)

Academic Services

• Reviewer, International Conference on Machine Learning (ICML)  ·  2021, 2022, 2023

• Reviewer, International Conference on Learning Representations (ICLR)  ·  2021, 2022, 2023

• Reviewer, Conference on Computer Vision and Pattern Recognition (CVPR)  ·  2021, 2022

• Reviewer, Neural Information Processing Systems (NeurIPS)  ·  2020, 2021

• Reviewer, International Joint Conference on Artificial Intelligence (IJCAI)  ·  2021, 2022, 2023