Wu, Yulun

10 publications

NeurIPS 2025 AI Progress Should Be Measured by Capability-per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs David McCoy, Yulun Wu, Zachary Butzin-Dozier

ICLR 2025 Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu, Louis McConnell, Claudia Iriondo

AAAI 2025 FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

AAAI 2025 Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

ICML 2025 Zero-Shot Meta-Learning for Tabular Prediction Tasks with Adversarially Pre-Trained Transformer Yulun Wu, Doron L Bergman

ICML 2024 Longitudinal Targeted Minimum Loss-Based Estimation with Temporal-Difference Heterogeneous Transformer Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso, Mark J. Van Der Laan

AAAI 2024 NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu

ICLR 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information Yulun Wu, Rob Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C Price, Luis F. Voloch, George Karypis

ICLR 2022 Spatial Graph Attention and Curiosity-Driven Policy for Antiviral Drug Discovery Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Erica Teixeira Prates, Veronica G Melesse Vergara, Manesh B Shah, Austin Clyde, Thomas Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S Head, Rick L. Stevens, Peter Nugent, Daniel A Jacobson, James B Brown

NeurIPSW 2022 Variational Causal Inference Yulun Wu, Layne C Price, Zichen Wang, Vassilis N. Ioannidis, Rob Barton, George Karypis