Tian Xia

According to our database, Tian Xia authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery.

Tian Xia, Sarp Aykent, Wei-Shinn Ku

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning.

Sarp Aykent, Tian Xia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constrained Market Share Maximization by Signal-Guided Optimization.

Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GBPNet: Universal Geometric Representation Learning on Protein Structures.

Sarp Aykent, Tian Xia

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space.

Bo Hui, Tian Xia, Wei-Shinn Ku

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction.

Tian Xia, Bo Hui, Wei-Shinn Ku

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Geometric Graph Representation Learning on Protein Structure Prediction.

Tian Xia, Wei-Shinn Ku

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Deep Multi-attribute Graph Representation Learning on Protein Structures.

Tian Xia, Wei-Shinn Ku

CoRR, 2020