Qiuwei Li Senior Algorithm Engineer DAMO Academy, Alibaba Group US Google Scholar Profile

Bio

Qiuwei Li is currently a Senior Algorithm Engineer in the Decision Intelligence Lab, DAMO Academy, Alibaba Group US. Prior to that, he was a Hedrick Assistant Professor in the Department of Mathematics at UCLA in 2020-2021, working with Prof. Wotao Yin. He was a postdoc at Colorado School of Mines in 2019-2020, working with Prof. Gongguo Tang and Prof. Michael B. Wakin. His research interests include developing efficient convex and nonconvex optimization methods, and using convex and nonconvex methods to model and solve inverse problems in machine learning and signal processing.

Preprints

• Provable Bregman-divergence based Methods for Nonconvex and Non-Lipschitz Problems.
  Q. Li, Z. Zhu, G. Tang, M. B. Wakin.
  Preprint, 2019.

Book Chapters

• Robust Principal Component Analysis based on Low-Rank and Block-Sparse Matrix Decomposition.
  Q. Li, G. Tang, Arye Nehorai.
  Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press, 2016.

Journals

• Three-operator splitting for learning to predict equilibria in convex games.
  D. McKenzie, H. Heaton, Q. Li, SW Fung, S. Osher, W. Yin.
  SIAM Journal on Mathematics of Data Science, 2024.

• From the simplex to the sphere: Faster constrained optimization using the Hadamard parametrization.
  Q. Li, D. McKenzie, W. Yin.
  Information and Inference: A Journal of the IMA, 2023.

• A Super-Resolution Framework for Tensor Decomposition.
  Q. Li, A. Prater, L. Shen, G. Tang.
  Information and Inference: A Journal of the IMA, 2022.

• A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization.
  X. Li, Z. Zhu, Q. Li, K. Liu.
  IEEE Transactions on Knowledge and Data Engineering, 2021.

• The Global Optimization Geometry of Low-Rank Matrix Optimization.
  Z. Zhu, Q. Li, G. Tang, M. B. Wakin.
  IEEE Transactions on Information Theory, 2021.

• The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery without Regularization.
  S. Li, Q. Li, Z. Zhu, G. Tang, M. B. Wakin.
  IEEE Signal Processing Letters, 2020.

• Optimized Sparse Projections for Compressive Sensing.
  T. Hong, X. Li, Z. Zhu, Q. Li.
  Signal Processing, 2019.

• Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision.
  Q. Li , G. Tang.
  Applied and Computational Harmonic Analysis, 2018.

• Global optimality in low-rank matrix optimization.
  Z. Zhu, Q. Li, G. Tang, M. B. Wakin.
  IEEE Transactions on Signal Processing, 2018.

• The Nonconvex Geometry of Low-rank Matrix Optimization.
  Q. Li, Z. Zhu, G. Tang.
  Information and Inference: A Journal of the IMA, 2018.

• On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm.
  Z. Zhu, G. Li, J. Ding, Q. Li, X. He.
  SIAM Journal on Imaging Sciences, 2018.

• Alternating Optimization of Sensing Matrix and Sparsifying Dictionary for Compressed Sensing.
  H. Bai, X. Li, S. Li, Q. Li, Q. Jiang, L. Chang.
  IEEE Transactions on Signal Processing, 2015.

Conferences

• Local and Global Convergence of General Burer-Monteiro Tensor Optimizations.
  S. Li, Q. Li.
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-22), 2022.

• JFB: Jacobian-Free Backpropagation for Implicit Networks.
  SW Fung, H. Heaton, Q. Li, D. McKenzie, S. Osher, W. Yin.
  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-22), 2022.
  2022-AAAI-JFB-Trailer

• The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems.
  Q. Li, X. Yang, Z. Zhu, G. Tang, M. B. Wakin.
  IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.
  (Best Student Paper Award Finalist)

• Distributed Low-rank Matrix Factorization With Exact Consensus.
  Z. Zhu, Q. Li, X. Yang, G. Tang, M. B. Wakin.
  Advances in Neural Information Processing Systems (NeurIPS), 2019.

• Cubic Regularization for Differentiable Games.
  S. Li, Y. Xie, Q. Li, G. Tang.
  Advances in Neural Information Processing Systems (NeurIPS) on Game Theory Workshop, 2019.

• Geometry Correspondence between Empirical and Population Games.
  S. Li, Q. Li, G. Tang, M. B. Wakin.
  Advances in Neural Information Processing Systems (NeurIPS) on Game Theory Workshop, 2019.

• General Tensor Recovery via Alternating Minimization.
  Q. Li, K. Liu, G. Tang, H. Wang.
  ACM SIGKDD Conference On Knowledge Discovery And Data Mining (KDD 2019) on Tensor Methods Workshop.

• Alternating Minimizations Converge to Second-Order Optimal Solutions.
  Q. Li, Z. Zhu, G. Tang.
  International Conference on Machine Learning (ICML), 2019.

• Spherical Principal Component Analysis.
  K. Liu, Q. Li, H. Wang, G. Tang.
  SIAM International Conference on Data Mining (SDM), 2019.

• The Geometry Of Equality-Constrained Global Consensus Problems.
  Q. Li, Z. Zhu, G. Tang, M. B. Wakin.
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.

• Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization.
  Z. Zhu, X. Li, K. Liu, Q. Li.
  Advances in Neural Information Processing Systems (NeurIPS), 2018.

• The Nonconvex Geometry of Low-rank Matrix Optimizations with General Objective Functions.
  Q. Li, G. Tang.
  IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.

• Global Optimality in Low-rank Matrix Optimization.
  Z. Zhu, Q. Li, G. Tang, M. B. Wakin.
  IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.

• Convex and Nonconvex Geometries of Symmetric Tensor Factorization.
  Q. Li, G. Tang.
  IEEE 51st Asilomar Conference on Signals, Systems and Computers (ACSSC), 2017.

• JAZZ: A Companion to MUSIC for Frequency Estimation with Missing Data.
  Q. Li, S. Li, H. Mansour, M. B. Wakin, D. Yang, Z. Zhu.
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

• Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision.
  Q. Li, G. Tang.
  IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.

• Overcomplete Tensor Decomposition via Convex Optimization.
  Q. Li, A. Prater, L. Shen, G. Tang.
  IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015.

• Joint Rank and Positive Semidefinite Constrained Optimization for Projection Matrix.
  Q. Li, S. Li, H. Bai, X. Li, L. Chang.
  IEEE International Conference on Industrial Engineering Applications (ICIEA), 2014.

• Iteratively Reweighted Least Squares for Block-sparse Recovery.
  S. Li, Q. Li, G. Li, X. He, L. Chang.
  IEEE International Conference on Industrial Engineering Applications (ICIEA), 2014.

• Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization for Block-sparse Compressive Sensing.
  S. Li, Q. Li, G. Li, L. Chang, X. He.
  IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), 2013.

• Robust Projection Matrix Optimization from the MSE View for Compressive Sensing Systems.
  Q. Li, Z. Zhu, G. Li, L. Chang, S. Li.
  IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2013.

• Projection Matrix Optimization for Block-sparse Compressive Sensing.
  S. Li, Z. Zhu, G. Li, L. Chang, Q. Li.
  IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2013.

• Projection matrix optimization based on SVD for compressive sensing systems.
  Q. Li, Z. Zhu, S. Tang, L. Chang, G. Li.
  The 32nd China Control Conference (CCC), 2013.

Technical Reports

• Convex and Nonconvex Optimization Geometries.
  Q. Li. Ph.D. Thesis. 2019.

• Geometry of Factored Nuclear Norm Regularization.
  Q. Li, Z. Zhu, G. Tang.
  Techinical Report, 2017.

Teaching

• MATH164 - Optimization, Instructor, Summer 2021. UCLA.

• MATH164-1 - Optimization, Instructor, Winter 2021. UCLA.

• MATH164-2 - Optimization, Instructor, Winter 2021. UCLA.

• EENG310 - Information Systems Science I, Instructor, Fall 2019. Colorado School of Mines.

• EENG598B - Numerical Optimization, Guest Lecturer, Spring 2019. Colorado School of Mines.

• EGGN250 - Multidisciplinary EG LAB I, Teaching Assistant, Spring 2015. Colorado School of Mines.