Invited talks, conference presentations, and posters on Bayesian machine learning, uncertainty quantification, multi-fidelity modelling, and data-driven material design.
12 talks and presentations listed
2026
- Jul 2026Variance estimation Bayesian Neural Networks (VeBNNs): Cooperative training for disentangling aleatoric and epistemic uncertainties Poster, ICML 2026, Seoul, South Korea
- May 2026Disentangling Uncertainty in AI for Engineering: Variance estimation Bayesian Neural Networks (VeBNNs) Poster, National Labs Visit Day, Brown University, Providence, USA
- Feb 2026Scalable Bayesian Machine Learning for Sustainable Composite Design: Uncertainty-Aware Prediction and Optimization of Recycled Polypropylene/Polyethylene Invited talk, Huazhong University of Science and Technology, Wuhan, China
2025
- Dec 2025Cooperative variance estimation and Bayesian neural networks disentangle aleatoric and epistemic uncertainties Invited talk, CRUNCH Seminar, Online
2024
- Aug 2024Learning uncertainty-aware composite constitutive laws via Bayesian Recurrent Neural Network Conference talk, 2024 SES Annual Technical Meeting, Hangzhou, China
- Aug 2024Practical Multi-fidelity Bayesian Machine Learning Invited talk, Huazhong University of Science and Technology, Wuhan, China
- Aug 2024Practical Multi-fidelity Bayesian Machine Learning Invited talk, The Overseas Young Scholars Forum, Hangzhou Dianzi University, Hangzhou, China
- Jun 2024Bayesian design of recycled composite polymers with predictable uncertain behavior Conference talk, ECCOMAS Congress 2024: 9th European Congress on Computational Methods in Applied Sciences and Engineering, Lisbon, Portugal
- Feb 2024Bayesian neural network on distinguishing aleatoric and epistemic uncertainties Conference talk, 2024 SIAM Conference on Uncertainty Quantification, Trieste, Italy
2023
- Aug 2023Cooperative Data-Driven Modeling Invited talk, Huazhong University of Science and Technology, Wuhan, China
2020
- Jul 2020An adaptive constraint-handling approach for optimization problems with expensive objective and constraints Conference talk, IEEE Congress on Evolutionary Computation, Glasgow, United Kingdom
2018
- Dec 2018A fast forecast method based on high and low fidelity surrogate models for strength and stability of stiffened cylindrical shell with variable ribs Conference talk, IEEE 8th USYS, Wuhan, China