Tian Xia

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Protein Structure

Graph Representation

Supervised Learning

Top Venues

Publications

Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku
Constrained Market Share Maximization by Signal-Guided Optimization. AAAI (2023)
Tian Xia, Sarp Aykent, Wei-Shinn Ku
Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery. SDM (2023)
Sarp Aykent, Tian Xia
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. NeurIPS (2023)
Bo Hui, Tian Xia, Wei-Shinn Ku
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. EMNLP (2022)
Tian Xia, Bo Hui, Wei-Shinn Ku
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. Big Data (2022)
Tian Xia, Wei-Shinn Ku
Geometric Graph Representation Learning on Protein Structure Prediction. KDD (2021)
Tian Xia, Wei-Shinn Ku
Deep Multi-attribute Graph Representation Learning on Protein Structures. CoRR (2020)