no code implementations • 4 Nov 2024 • Zijun Min, Bingshuai Liu, Liang Zhang, Jia Song, Jinsong Su, Song He, Xiaochen Bo
In this work, we introduce the Optimal TRansport-based Multi-grained Alignments model (ORMA), a novel approach that facilitates multi-grained alignments between textual descriptions and molecules.
Ranked #1 on
Cross-Modal Retrieval
on ChEBI-20
1 code implementation • 31 Oct 2024 • Jia Song, Wanru Zhuang, Yujie Lin, Liang Zhang, Chunyan Li, Jinsong Su, Song He, Xiaochen Bo
Cross-modal text-molecule retrieval model aims to learn a shared feature space of the text and molecule modalities for accurate similarity calculation, which facilitates the rapid screening of molecules with specific properties and activities in drug design.
Ranked #2 on
Cross-Modal Retrieval
on ChEBI-20
no code implementations • 24 Dec 2020 • Song He, Zhenjie Li, Yichao Tang, Qinglin Yang
We introduce and study the Wilson-loop ${\rm d}\log$ representation of certain Feynman integrals for scattering amplitudes in ${\cal N}=4$ SYM and beyond, which makes their evaluation completely straightforward.
High Energy Physics - Theory High Energy Physics - Phenomenology
1 code implementation • 28 Sep 2018 • Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding
In this paper, we propose a novel domain-adversarial multi-task framework for integrating shared knowledge from multiple domains.