yuanhang tang — accepted AI-conference papers

2026

MoMa: A Simple Modular Learning Framework for Material Property Prediction

Botian Wang, Yawen Ouyang, Yaohui Li, Mianzhi Pan, yuanhang tang, Haorui Cui +5

ICLR 2026poster

Deep learning methods for material property prediction have been widely explored to advance materials discovery. However, the prevailing pre-train paradigm often fails to address the inherent diversity and disparity of material tasks. To overcome these challenges, we introduce MoMa, a simple Modular…

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2023

Debias NLU Datasets via Training-free Perturbations

Qi Guo, yuanhang tang, Yawen Ouyang, Zhen Wu, Xinyu Dai

EMNLP 2023long findings

Several recent studies have shown that advanced models for natural language understanding (NLU) are prone to capture biased features that are independent of the task but spuriously correlated to labels. Such models often perform well on in-distribution (ID) datasets but fail to generalize to out-of-…

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