Wu, Menghua

12 publications

ICLR 2025 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter
ICML 2025 Identifying Biological Perturbation Targets Through Causal Differential Networks Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi Jaakkola
TMLR 2025 Predicting Sub-Population Specific Viral Evolution Wenxian Shi, Menghua Wu, Regina Barzilay
TMLR 2025 Sample, Estimate, Aggregate: A Recipe for Causal Discovery Foundation Models Menghua Wu, Yujia Bao, Regina Barzilay, Tommi Jaakkola
NeurIPSW 2024 Contextualizing Biological Perturbation Experiments Through Language Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter
NeurIPSW 2024 Learning to Refine Domain Knowledge for Biological Network Inference Peiwen Li, Menghua Wu
ICLRW 2024 PROflow: An Iterative Refinement Model for PROTAC-Induced Structure Prediction Bo Qiang, Wenxian Shi, Yuxuan Song, Menghua Wu
ICLRW 2024 Sample, Estimate, Aggregate: A Recipe for Causal Discovery Foundation Models Menghua Wu, Yujia Bao, Regina Barzilay, Tommi Jaakkola
ICLRW 2023 DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stark, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola
CVPR 2023 High-Fidelity 3D Face Generation from Natural Language Descriptions Menghua Wu, Hao Zhu, Linjia Huang, Yiyu Zhuang, Yuanxun Lu, Xun Cao
AAAI 2023 RAFaRe: Learning Robust and Accurate Non-Parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao
ICLR 2020 Few-Shot Text Classification with Distributional Signatures Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay