Feng Jiang

According to our database, Feng Jiang authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

GRAM-TDI: adaptive multimodal representation learning for drug target interaction prediction.

Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao

CoRR, September, 2025

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence.

Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang

CoRR, June, 2025

Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification.

Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou, Hehuan Ma, Junzhou Huang

CoRR, April, 2025

Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis.

Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics.

Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction.

Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Toward Robust Self-Training Paradigm for Molecular Prediction Tasks.

Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang

J. Comput. Biol., 2024

UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers.

Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Weizhi An, Jean Gao, Junzhou Huang

CoRR, 2024

Compositional Image Retrieval via Instruction-Aware Contrastive Learning.

Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Junzhou Huang

CoRR, 2024

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation.

Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang

CoRR, 2024

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity.

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Briefings Bioinform., 2024

Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks.

Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3.

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2022

Robust self-training strategy for various molecular biology prediction tasks.

Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022