(1) marine meteorological forecasting technology;
(2) marine IoT sensor R&D and edge computing.
Thesis:
1. PHI-SMFE: spatial multi-scale feature extract neural network based on physical heterogeneous interaction for solving passive scalar advection in a 2-D unsteady flow， FRONTIERS IN MARINE SCIENCE， 2023;
2. Surface wave height regulated by ocean currents: An observational perspective， DEEP-SEA RESEARCH， 2022;
3. Data Processing Based on Low-Precision IMU Equipment to Predict Wave Height and Wave Period， ICDIS ， 2019;
4. WaveNet: Learning to predict wave height and period from accelerometer data using convolutional neural network， ICEOE， 2019;
