Yuejie Chi

Editorial Boards

• Editor, Foundations and Trends in Signal Processing, 2023 - Present.

• Associate Editor, SIAM Journal on Mathematics of Data Science, 2023 - Present.

• Associate Editor, Information and Inference: A Journal of the IMA, 2022 - Present.

• Associate Editor for Machine Learning and Statistics, IEEE Trans. on Information Theory, 2021 - 2024.

• Associate Editor, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2020 - 2022.

• Associate Editor, IEEE Trans. on Signal Processing, 2018 - 2022.

• Guest Editor, Special Issue on "Seeking Low-dimensionality in Deep Neural Networks", IEEE Journal of Selected Topics in Signal Processing, 2023 - 2024.

• Guest Editor, Special Issue on "Rethinking PCA for Modern Datasets: Theory, Algorithms, and Applications", Proceedings of the IEEE, 2018.

General and Program Chairs

• General Co-Chair, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2024.

• Program Co-Chair, Conference on Parsimony and Learning (CPAL), 2024.

• Program Co-Chair, Conference on Machine Learning and Systems (MLSys), 2022.

• Technical Program Co-Chair, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019.

• Co-Chair, IEEE GlobalSIP Symposium on Information Processing for Big Data, 2014.

Committees and Boards in Professional Societies

• Member, SIAM Activity Group on Imaging Science Nominating Committee, 2023.

• Member, IEEE Information Theory Society Thomas M. Cover Dissertation Award Committee, 2023 - 2025.

• Board Member, Conference on Machine Learning and Systems (MLSys), 2022 - 2025.

• Elected Member, IEEE Signal Processing Society Computational Imaging (CI) Technical Committee, 2023 - 2025.

• Member, IEEE Signal Processing Society Data Science Initiative, 2020 - 2023.

• Elected Member, IEEE Signal Processing Society Sensor Array and Multichannel (SAM) Technical Committee, 2019 - 2021.

• Elected Member, IEEE Signal Processing Society Signal Processing Theory and Methods (SPTM) Technical Committee, 2016 - 2018.

• Elected Member, IEEE Signal Processing Society Machine Learning for Signal Processing (MLSP) Technical Committee, 2016 - 2018.

Conference Organizations

• Member of Organizing Committee, BIRS Workshop on Mathematical Foundations in Deep Learning and Generative AI, 2026.

• Member of Organizing Committee, SIAM Conference on Mathematics of Data Science (SIAM MDS), 2024.

• Recent Results Co-Chair, IEEE International Symposium on Information Theory (ISIT), 2024.

• Student and Young Professional Activities Co-Chair, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

• Member of Organizing Committee, Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN), 2021 and 2022.

• Awards Co-Chair, IEEE Data Science Workshop (DSW), 2019.

• Publications Chair, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018.

• Data Competition Chair, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2017, 2018.

• Serve regularly on Technical Program Committees for major machine learning, signal processing, and information theory conferences.

Session and Mini-symposium Organizations

• "Computational Imaging for Materials and Microscopy", ICIP 2021 and 2025.

• "The Intersection of Computational Imaging and Materials Science'', IST EI 2024.

• "Policy Optimization Methods for Reinforcement Learning and Control", SIAM OPT 2023.

• "Interface of Statistics, Optimization and Learning in Data Science", SIAM MDS 2022.

• "Policy Optimization for Reinforcement Learning", ICCOPT 2022.

• "Multi-Agent and Safe Reinforcement Learning", CISS 2022.

• "Provable Tensor and Matrix Methods for Sensing and Learning", ICASSP 2022.

• "Interface of Statistics, Optimization and Learning", INFORMS 2020.

• "Nonlinear Inverse Problems and Matrix Factorization", ICASSP 2019.

• "Taming Nonconvexity in High-Dimensional Statistical Inference", Asilomar 2018.

• "Bilinear Inverse Problems", Asilomar 2016.

• "Wireless Health", Asilomar 2013.