About Me
Tingyang Wei is a Ph.D. candidate with the College of Computing and Data Science at Nanyang Technological University (NTU), Singapore, working jointly with A*STAR SIMTech and the Centre for Frontier AI Research (CFAR). His research lies at the intersection of black-box optimization, Bayesian optimization, and generative modeling, with a focus on multiobjective and multitask optimization. His current work explores scalable generative frameworks for black-box optimization, with diverse applications in automated design and AI-driven discovery.
- Approximate Inference
- Black-Box Optimization
- Bayesian Optimization
- Multiobjective Optimization
- Generative Modelling
Ph.D. Artificial Intelligence
Nanyang Technological University
MSc Artificial Intelligence
South China University of Technology
BSc Computer Science
South China University of Technology
Multitask optimization and sequential transfer are two tributaries of transfer optimization. We position that sequential transfer conducted in an iterative way can be used to solve multitask optimization. And a curated task prioritization approach can be used to elevate both multitask optimizer and sequential optimizer in multitask optimization problems.
Jun 22, 2026
How we generalize multi-task optimization to infinitely many-task optimization by learning and utilizing evolving task models.
Jun 6, 2026