Induced Pluripotency for Translational Research. - Menghua Wu; Guilai Chen; Baoyang Hu (Genom. Proteom. Bioinform., 2013)

Characteristics of Drug Combination Therapy in Oncology by Analyzing Clinical Trial Data on Clinicaltrials.Gov. - Menghua Wu; Marina Sirota; Atul J. Butte; Bin Chen (Pacific Symposium on Biocomputing, 2015)

Few-shot Text Classification with Distributional Signatures. - Yujia Bao; Menghua Wu; Shiyu Chang; Regina Barzilay (ICLR, 2020)

Joint feedback and recurrent deraining network with ensemble learning. - Yu Luo 004; Menghua Wu; Qingdong Huang; Jian Zhu 001; Jie Ling 002; Bin Sheng 001 (Vis. Comput., 2022)

RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs. - Longwei Guo; Hao Zhu 004; Yuanxun Lu; Menghua Wu; Xun Cao (AAAI, 2023)

High-fidelity 3D Face Generation from Natural Language Descriptions. - Menghua Wu; Hao Zhu 004; Linjia Huang; Yiyu Zhuang; Yuanxun Lu; Xun Cao (CVPR, 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)

FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction. - Hao Zhu 004; Haotian Yang; Longwei Guo; Yidi Zhang; Yanru Wang; Mingkai Huang; Menghua Wu; Qiu Shen; Ruigang Yang; Xun Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PROflow: An iterative refinement model for PROTAC-induced structure prediction. - Bo Qiang; Wenxian Shi; Yuxuan Song; 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)

Learning to refine domain knowledge for biological network inference. - Peiwen Li; Menghua Wu (CoRR, 2024)

Contextualizing biological perturbation experiments through language. - Menghua Wu; Russell Littman; Jacob Levine; Lin Qiu; Tommaso Biancalani; David Richmond; Jan-Christian Huetter (ICLR, 2025)

Predicting sub-population specific viral evolution. - Wenxian Shi; Menghua Wu; Regina Barzilay (Trans. Mach. Learn. Res., 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)

Thought calibration: Efficient and confident test-time scaling. - Menghua Wu; Cai Zhou; Stephen Bates; Tommi S. Jaakkola (CoRR, 2025)

Advertising in AI systems: Society must be vigilant. - Menghua Wu; Yujia Bao (CoRR, 2025)