1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation
Zheng Wang, Shibo Li, Shikai Fang +1
Multi-fidelity surrogate learning is important for physical simulation related applications in that it avoids running numerical solvers from scratch, which is known to be costly, a…
cs.LG2023★ 1 cited
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Zheng Wang, Shikai Fang, Shibo Li +1
Tensor decomposition is an important tool for multiway data analysis. In practice, the data is often sparse yet associated with rich temporal information. Existing methods, however…
cs.LG2022★ 1 cited
Nonparametric Embeddings of Sparse High-Order Interaction Events
Zheng Wang, Yiming Xu, Conor Tillinghast +3
High-order interaction events are common in real-world applications. Learning embeddings that encode the complex relationships of the participants from these events is of great imp…