About me

Recent news

  • We developed DeepM&Mnet to build multiphysics & multiscale models in a plug-and-play mode using pretrained DeepONets that approximate nonlinear operators. (Sept. 28, 2020)
  • DeepXDE was used to solve inverse problems in systems biology, see our paper on bioRxiv. (July 27, 2020)
  • I received Chinese Government Award for Outstanding Self-Financed Students Abroad. (July 10, 2020)
  • Our paper on generalization for neural networks was published in Neural Networks. (July 3, 2020)
  • I organized a minisymposium on Machine Learning for Physical Systems at SIAM Conference on Mathematics of Data Science. (June 29, 2020)
  • I gave a talk on DeepXDE at SIAM Conference on Mathematics of Data Science. (June 22, 2020)
  • I received Joukowsky Family Foundation Outstanding Dissertation Award (the most prestigious Ph.D. award) from Brown University. (May 24, 2020)
  • I gave a talk on physics-informed deep learning at Emory University, Scientific Computing Group. (Apr. 24, 2020)
  • I received David Gottlieb Memorial Award from the Division of Applied Mathematics, Brown University. (Apr. 1, 2020)
  • Brown News: Machine learning improves non-destructive materials testing. (Mar. 27, 2020)
  • I gave a talk on DeepXDE at AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences. (Mar. 24, 2020)
  • Paper about multi-fidelity neural networks for inverse indentation problems published in PNAS. (Mar. 16, 2020)
  • NTU News: ​Machine learning technique sharpens prediction of material’s mechanical properties. (Mar. 16, 2020)
  • MIT News: Deep learning for mechanical property evaluation. (Mar. 16, 2020)
  • I gave a talk on Scientific Machine Learning at Lawrence Berkeley National Laboratory, Computing Sciences. (Mar. 9, 2020)
  • SIAM News article highlights our work on sickle cell disease. (Mar. 2, 2020)
  • I gave a talk on Scientific Machine Learning at Lawrence Livermore National Laboratory. (Feb. 19, 2020)
  • I gave a talk on Scientific Machine Learning at Worcester Polytechnic Institute, Mathematical Sciences Department. (Feb. 13, 2020)
  • I gave a talk on Scientific Machine Learning at Oak Ridge National Laboratory. (Jan. 27, 2020)
  • I gave a talk on Scientific Machine Learning at Argonne National Laboratory, Mathematics and Computer Science Division. (Jan. 21, 2020)
  • I gave a talk on DeepONet at JMM. (Jan. 15, 2020)
  • I gave a talk on DeepXDE at Physics Informed Machine Learning Workshop. (Jan. 14, 2020)
  • DeepXDE was presented at NeurIPS workshop on Machine Learning and the Physical Sciences. (Dec. 14, 2019)
  • DeepXDE was used to solve inverse problems in nano-optics and metamaterials, see our paper on arXiv. (Dec. 2, 2019)
  • I gave a talk on Scientific Machine Learning at University of Pittsburgh, Department of Mechanical Engineering and Materials Science. (Nov. 21, 2019)
  • I gave a talk on Scientific Machine Learning at University of North Carolina at Charlotte, Department of Mathematics and Statistics. (Nov. 18, 2019)
  • News on Brown Daily Herald. (Oct. 30, 2019)
  • Paper about DeepONets to learn operators was uploaded to arXiv. (Oct. 8, 2019)