Sijia Wang is a Ph.D. student in the Department of Computer Science.  Her advisor is Lifu Huang. Wang’s current research focus is on natural language processing and machine learning. She is working on information extraction using prompt-based methods with full or limited supervision.

Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne: Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS 2021