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Mianzhi Pan

2 accepted papers

2026

MoMa: A Simple Modular Learning Framework for Material Property Prediction

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…

Cited by 0SourceScholar
2022

Probing Cross-modal Semantics Alignment Capability from the Textual Perspective

EMNLP 2022finding

In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semantics is claimed to be one of the essential capabilities of VLP models. However, it still remains unclear about the inner w…