9 citations · 10 across the 7 of their papers we have counts for
8 papers
GRAM-DTI: adaptive multimodal representation learning for drug target interaction prediction
Feng Jiang, Amina Mollaysa, Hehuan Ma +4
Drug target interaction (DTI) prediction is a cornerstone of computational drug discovery, enabling rational design, repurposing, and mechanistic insights. While deep learning has…
Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis
Haiqing Li, Yuzhi Guo, Feng Jiang +5
Early-stage scoliosis is often difficult to detect, particularly in adolescents, where delayed diagnosis can lead to serious health issues. Traditional X-ray-based methods carry ra…
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…
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification
Haiqing Li, Yuzhi Guo, Feng Jiang +3
Scoliosis is a spinal curvature disorder that is difficult to detect early and can compress the chest cavity, impacting respiratory function and cardiac health. Especially for adol…
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
Yuwei Miao, Yuzhi Guo, Hehuan Ma +4
Exploring the functions of genes and gene products is crucial to a wide range of fields, including medical research, evolutionary biology, and environmental science. However, disco…
UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers
Yuwei Miao, Yuzhi Guo, Hehuan Ma +5
Gene studies are crucial for fields such as protein structure prediction, drug discovery, and cancer genomics, yet they face challenges in fully utilizing the vast and diverse info…
Compositional Image Retrieval via Instruction-Aware Contrastive Learning
Wenliang Zhong, Weizhi An, Feng Jiang +3
Composed Image Retrieval (CIR) involves retrieving a target image based on a composed query of an image paired with text that specifies modifications or changes to the visual refer…
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation
Saiyang Na, Yuzhi Guo, Feng Jiang +2
In the rapidly evolving field of AI research, foundational models like BERT and GPT have significantly advanced language and vision tasks. The advent of pretrain-prompting models s…