36 citations · 62 across the 6 of their papers we have counts for
7 papers
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence
Feng Jiang, Mangal Prakash, Hehuan Ma +6
Molecular property prediction aims to learn representations that map chemical structures to functional properties. While multimodal learning has emerged as a powerful paradigm to l…
Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic Study
Jianyuan Deng, Zhibo Yang, Hehe Wang +3
Artificial intelligence (AI) has been widely applied in drug discovery with a major task as molecular property prediction. Despite booming techniques in molecular representation le…
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima +2
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in a wide range of applications, such as…
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning
Xinyu Dong, Jianyuan Deng, Sina Rashidian +6
The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Us…
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Jianyuan Deng, Zhibo Yang, Yao Li +2
Naloxone, an opioid antagonist, has been widely used to save lives from opioid overdose, a leading cause for death in the opioid epidemic. However, naloxone has short brain retenti…
An Informatics-based Approach to Identify Key Pharmacological Components in Drug-Drug Interactions
Jianyuan Deng, Fusheng Wang
Drug-drug interactions (DDI) can cause severe adverse drug reactions and pose a major challenge to medication therapy. Recently, informatics-based approaches are emerging for DDI s…
Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications
Zhibo Yang, Huanle Xu, Jianyuan Deng +2
The use of color in QR codes brings extra data capacity, but also inflicts tremendous challenges on the decoding process due to chromatic distortion, cross-channel color interferen…