Dongxia Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. | Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang |
| 2025 | ICML | MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning. | Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K. Gilson, Rose Yu |
| 2024 | AISTATS | Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. | Dongxia Wu, Tsuyoshi Id, Georgios Kollias, Jir Navrtil, Aurlie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu |
| 2024 | ICML | Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. | Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu |
| 2023 | ICML | Disentangled Multi-Fidelity Deep Bayesian Active Learning. | Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yi-An Ma, Rose Yu |
| 2023 | KDD | Deep Bayesian Active Learning for Accelerating Stochastic Simulation. | Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2022 | KDD | Multi-fidelity Hierarchical Neural Processes. | Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2021 | KDD | Quantifying Uncertainty in Deep Spatiotemporal Forecasting. | Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma, Rose Yu |