| 2025 | EMNLP | Thought calibration: Efficient and confident test-time scaling. | Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola |
| 2025 | ICLR | Contextualizing biological perturbation experiments through language. | Menghua Wu, Russell Littman, Jacob Levine, Lin Qiu, Tommaso Biancalani, David Richmond, Jan-Christian Huetter |
| 2025 | ICML | Identifying biological perturbation targets through causal differential networks. | Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola |
| 2023 | AAAI | 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 |
| 2023 | CVPR | High-fidelity 3D Face Generation from Natural Language Descriptions. | Menghua Wu, Hao Zhu, Linjia Huang, Yiyu Zhuang, Yuanxun Lu, Xun Cao |
| 2020 | ICLR | Few-shot Text Classification with Distributional Signatures. | Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay |
| 2015 | PSB | Characteristics of Drug Combination Therapy in Oncology by Analyzing Clinical Trial Data on Clinicaltrials.Gov. | Menghua Wu, Marina Sirota, Atul J. Butte, Bin Chen |