BAO WANG

COLLABORATIVE RESEARCH: TOWARDS HIGH-FIDELITY SINGLE STEP GENERATIVE FLOWS: ALGORITHMS, THEORY, AND VALIDATIONS IN COMPUTATIONAL INVERSE PROBLEMS

HARNESSING NONNEGATIVE MATRIX FACTORIZATION FOR ADVANCED COMPUTATIONAL MATERIALS MODELING

COLLABORATIVE RESEARCH: MATH-DT: MATHEMATICAL FOUNDATION OF AI-ASSISTED DIGITAL TWINS FOR HIGH POWER LASER SCIENCE AND ENGINEERING

PRINCIPLED, STRUCTURE-PRESERVING, AND UNCERTAINTY-QUANTIFIED MACHINE LEARNING FOR SCIENTIFIC DATA

COLLABORATIVE RESEARCH: ALGORITHMS, THEORY, AND VALIDATIONS OF DEEP GRAPH LEARNING WITH LIMITED SUPERVISION: A CONTINUOUS PERSPECTIVE

RELIABLE, SCALABLE, AND DATA-EFFICIENT RANDOMIZED GRAPH NEURAL NETWORKS FOR NEURAL COMBINATORIAL OPTIMIZATION WITH SCIENTIFIC APPLICATIONS

STUDENT SUPPORT: 18TH IEEE INTERNATIONAL CONFERENCE ON ESCIENCE

MULTI-AGENT SEQUENTIAL DEEP LEARNING: ALGORITHM, THEORY, AND VALIDATIONS

TRUSTWORTHY PHYSICS-INFORMED DEEP LEARNING FOR PREDICTIVE SCIENTIFIC COMPUTING

FRG: COLLABORATIVE RESEARCH: PDE AND OPTIMIZATION-PRINCIPLED ROBUST, EFFICIENT, AND PRIVATE DEEP LEARNING