Activities

Invited Talks

  • [10/2024] Generative AI for Earthquake Simulations, Berkeley Lab AI for Science Summit.

  • [10/2023] Learning Dynamics from Sparse Data, Lawrence Berkeley National Lab.

  • [08/2023] Encoding Physics to Learn Reaction-Diffusion Processes, Luoyi Science.

  • [06/2022] Embedding Physics into Deep Learning for Spatiotemporal Systems, Lawrence Berkeley National Lab.

  • [03/2022] Embedding Physics into Deep Learning for Spatiotemporal Systems, Argonne National Lab.

  • [10/2020] Physics-Reinforced Deep Learning for Structural Metamodeling, Northeastern University.

  • [03/2020] Bayesian Tensor Learning for Structural Monitoring Data Imputation and Response Forecasting, Northeastern University.

Conference Presentations

  • [09/2024] Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling, Statewide California Earthquake Center Annual Meeting 2024.

  • [08/2024] Physics-constrained Convolutional Recurrent Learning for Modeling Seismic Wave Propagation, International Meeting for Applied Geoscience & Energy 2024.

  • [05/2024] CD-VAE-GMG: Conditional Dynamic Variational Autoencoder for Earthquake Ground Motion Generation, Seismological Society of America 2024.

  • [02/2024] SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning, The annual Berkeley Lab Computing Sciences’ Postdoc Symposium.

  • [12/2023] Deep Generative Models for Earthquake Ground Motion Simulation, AGU Annual Meeting 2023.

  • [08/2023] Super-resolution for Scientific Data, Monterey Data Conference.

  • [07/2021] PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs, SIAM Annual Meeting 2021.

  • [05/2021] PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs, The 2021 Engineering Mechanics Institute Conference.

  • [05/2020] Bayesian Tensor Learning for Structural Monitoring Data Imputation and Response Forecasting, The 2020 Engineering Mechanics Institute Conference.

  • [08/2017] Structural Health Monitoring of a High-speed Railway Bridge: Five Years Review and Lessons Learned, The 2017 World Congress on Advances in Structural Engineering and Mechanics.

Services

  • Reviewers for Conferences

    • ICML 2023-2024

    • NeurlPS 2023-2024

    • ICLR 2023-2025

    • IJCAI 2024

    • AAAI 2025

    • AISTATS 2025

    • NLDL 2025

  • Reviewers for Journals

    • Journal of Machine Learning Research

    • SMAI Journal of Computational Mathematics

    • Computer Methods in Applied Mechanics and Engineering

    • IEEE Transactions on Neural Networks and Learning Systems

    • IEEE Transactions on Geoscience and Remote Sensing

    • Mechanical Systems and Signal Processing

    • Theoretical and Applied Mechanics Letters

    • Engineering Applications of Artificial Intelligence

    • International Journal of Computational Fluid Dynamics

    • Journal of Rock Mechanics and Geotechnical Engineering

    • Complex & Intelligent Systems

    • Journal of Structural Engineering

    • Signal, image, and video processing

    • Acta Astronautica

    • Nonlinear Dynamics

    • PLOS ONE

    • Measurement

Teaching

  • [09/2021-12/2021], Structural Dynamics, Northeastern University.

  • [09/2022-05/2023], Capstone Project, co-advise with Dr. N. B. Erichson and Prof. M. W. Mahoney, UC Berkeley.