Yangsibo Huang

Yangsibo Huang

Welcome! I am a fourth-year PhD student at Princeton University. I am very fortunate to be advised by Prof. Kai Li. I am also working closely with Prof. Sanjeev Arora. My research interests lie in the interface of Systems and Machine Learning, especially the privacy and security topics. I am also interested in machine learning for healthcare(ML4H).

Previously, I got my bachelor’s degree in Computer Science at Zhejiang University. I spent a great semester in my senior year at Harvard Medical School and Massachusetts General Hospital under the supervision of Dr. Quanzheng Li. I also spent a wonderful summer at Prof. Ke Sheng’s lab at David Geffen School of Medicine at UCLA.


Selected Publications and Manuscripts


  1. Recovering Private Text in Federated Learning of Language Models
    In Advances in Neural Information Processing Systems (NeurIPS) 2022


  1. Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
    In Advances in Neural Information Processing Systems (NeurIPS) 2021 (Oral)
  2. EMA: Auditing Data Removal from Trained Models
    Yangsibo, Huang, Xiaoxiao, Li, and Kai, Li
    In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021
  3. DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy
    Ryan, Neph, Qihui, Lyu, Yangsibo, Huang, You Ming, Yang, and Ke, Sheng
    Physics in Medicine & Biology 2021


  1. TextHide: Tackling Data Privacy in Language Understanding Tasks
    Yangsibo, Huang, Zhao, Song, Danqi, Chen, Kai, Li, and Sanjeev, Arora
    In The Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP) 2020
  2. InstaHide: Instance-hiding Schemes for Private Distributed Learning
    Yangsibo, Huang, Zhao, Song, Kai, Li, and Sanjeev, Arora
    In Internation Conference on Machine Learning (ICML) 2020


  1. Deep Q learning Driven CT Pancreas Segmentation with Geometry-aware U-Net
    Yunze, Man, Yangsibo, Huang, Junyi, Feng, Xi, Li, and Fei, Wu
    IEEE Transactions on Medical Imaging 2019

Reviewer & committee

Teaching Assistant

Contact me

You are welcome to reach out to me by email or via WeChat (ID: hazelsuko07).

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