Quanjun Lang

郎泉钧

Publications

  1. Quanjun Lang, and Fei Lu. "Learning interaction kernels in mean-field equations of first-order systems of interacting particles." SIAM Journal on Scientific Computing 44.1 (2022): A260-A285. [journal | arXiv]
  2. Quanjun Lang, and Fei Lu. "Identifiability of interaction kernels in mean-field equations of interacting particles." Foundation of Data Science 2023, Volume 5, Issue 4: 480-502. [journal | arXiv]
  3. Fei Lu, Quanjun Lang, and Qingci An. "Data adaptive RKHS Tikhonov regularization for learning kernels in operators." Proceedings of Mathematical and Scientific Machine Learning, PMLR 190:158-172, 2022. [conference | arXiv]
  4. Neil K Chada, Quanjun Lang, Fei Lu, and Xiong Wang. "A data-adaptive prior for Bayesian learning of kernels in operators." Journal of Machine Learning Research 25 (317), 1-37 [journal |arXiv]

Preprints

  1. Quanjun Lang, and Jianfeng Lu. "A unified blockwise measurement design for learning quantum channels and Lindbladians via low-rank matrix sensing." [arXiv]
  2. Yuan Gao, Quanjun Lang, and Fei Lu. "Self-test loss functions for learning weak-form operators and gradient flows." [arXiv]
  3. Quanjun Lang, and Jianfeng Lu "Learning Memory Kernels in Generalized Langevin Equations." [arXiv]
  4. Quanjun Lang, Xiong Wang, Fei Lu, and Mauro Maggioni "Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel." [arXiv]
  5. Quanjun Lang, and Fei Lu. "Small noise analysis for Tikhonov and RKHS regularizations." [arXiv]
  6. Fabrice Baudoin, Quanjun Lang, and Yannick Sire. "Extension method in Dirichlet spaces with sub-Gaussian estimates and applications to regularity of jump processes on fractals." [arXiv]
  7. Fabrice Baudoin, Quanjun Lang, and Yannick Sire. "Powers of generators on Dirichlet spaces and applications to Harnack principles." [arXiv]