collaborators

6 papers

q-fin.MF2026

Fee Implied Volatility on Uniswap v3: A DEX Native Proxy and Its Limits

Amy Oumayma Khaldoun

Narrow Uniswap v3 liquidity ranges resemble short dated options, and Panoptic's streaming premium echoes the short maturity concentration of Black-Scholes theta near the strike. Th…

physics.chem-ph2026

A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis

Chen Yang, Zheng Fang, Hanyu Sun +7

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful tool for molecular structure analysis, and spectral artificial intelligence offers great potential for its rapid and aut…

cs.CV2026

Rethinking Genomic Modeling Through Optical Character Recognition

Hongxin Xiang, Pengsen Ma, Yunkang Cao +4

Recent genomic foundation models largely adopt large language model architectures that treat DNA as a one-dimensional token sequence. However, exhaustive sequential reading is stru…

cs.CL2025

Enhancing Molecular Property Prediction with Knowledge from Large Language Models

Peng Zhou, Lai Hou Tim, Zhixiang Cheng +4

Predicting molecular properties is a critical component of drug discovery. Recent advances in deep learning, particularly Graph Neural Networks (GNNs), have enabled end-to-end lear…

physics.chem-ph2025

EDBench: Large-Scale Electron Density Data for Molecular Modeling

Hongxin Xiang, Ke Li, Mingquan Liu +7

Existing molecular machine learning force fields (MLFFs) generally focus on the learning of atoms, molecules, and simple quantum chemical properties (such as energy and force), but…

cs.CV2025

ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction

Yuqin He, Tengfei Ma, Chaoyi Li +6

To mitigate the potential adverse health effects of simultaneous multi-drug use, including unexpected side effects and interactions, accurately identifying and predicting drug-drug…