Menghua Wu

According to our database, Menghua Wu authored at least 18 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning.

Cai Zhou, Zekai Wang, Menghua Wu, Qianyu Julie Zhu, Flora C. Shi, Chenyu Wang, Ashia Wilson, Tommi S. Jaakkola, Stephen Bates

CoRR, April, 2026

2025

Advertising in AI systems: Society must be vigilant.

Menghua Wu, Yujia Bao

CoRR, May, 2025

Sample, estimate, aggregate: A recipe for causal discovery foundation models.

Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola

Trans. Mach. Learn. Res., 2025

Predicting sub-population specific viral evolution.

Wenxian Shi, Menghua Wu, Regina Barzilay

Trans. Mach. Learn. Res., 2025

Identifying biological perturbation targets through causal differential networks.

Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Contextualizing biological perturbation experiments through language.

Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Thought calibration: Efficient and confident test-time scaling.

Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Learning to refine domain knowledge for biological network inference.

Peiwen Li, Menghua Wu

CoRR, 2024

Predicting perturbation targets with causal differential networks.

Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2024

PROflow: An iterative refinement model for PROTAC-induced structure prediction.

Bo Qiang, Wenxian Shi, Yuxuan Song, Menghua Wu

CoRR, 2024

2023

FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction.

Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Menghua Wu, Qiu Shen, Ruigang Yang, Xun Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models.

Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2023

High-fidelity 3D Face Generation from Natural Language Descriptions.

Menghua Wu, Hao Zhu, Linjia Huang, Yiyu Zhuang, Yuanxun Lu, Xun Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Joint feedback and recurrent deraining network with ensemble learning.

Yu Luo, Menghua Wu, Qingdong Huang, Jian Zhu, Jie Ling, Bin Sheng

Vis. Comput., 2022

2020

Few-shot Text Classification with Distributional Signatures.

Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay

Proceedings of the 8th International Conference on Learning Representations, 2020

2015

Characteristics of Drug Combination Therapy in Oncology by Analyzing Clinical Trial Data on Clinicaltrials.Gov.

Menghua Wu, Marina Sirota, Atul J. Butte, Bin Chen

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2013

Induced Pluripotency for Translational Research.

Menghua Wu, Guilai Chen, Baoyang Hu

Genom. Proteom. Bioinform., 2013