Yingzhou Lu

According to our database, Yingzhou Lu authored at least 13 papers between 2023 and 2024.

Collaborative distances:

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

2024

Protein-Mamba: Biological Mamba Models for Protein Function Prediction.

Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong Lee, Tianfan Fu, Jintai Chen

CoRR, 2024

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction.

Bohao Xu, Yingzhou Lu, Chenhao Li, Ling Yue, Xiao Wang, Nan Hao, Tianfan Fu, Jim Chen

CoRR, 2024

BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba.

Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu

CoRR, 2024

MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network.

Yinlong Xu, Xiaoqiang Liu, Zitai Kong, Yixuan Wu, Yue Wang, Yingzhou Lu, Honghao Gao, Jian Wu, Hongxia Xu

CoRR, 2024

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing.

Yingzhou Lu, Yaojun Hu, Chenhao Li

CoRR, 2024

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.

Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu

CoRR, 2024

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?

Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu

CoRR, 2024

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model.

Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, Jian Wu

CoRR, 2024

Uncertainty Quantification on Clinical Trial Outcome Prediction.

Tianyi Chen, Nan Hao, Yingzhou Lu, Capucine Van Rechem

CoRR, 2024

2023

Machine learning enabled bioinformatics tools for analysis of biologically diverse samples.

Yingzhou Lu

PhD thesis, 2023

GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization.

Yingzhou Lu, Minjie Shen, Yue Zhao, Chenhao Li, Fan Meng, Xiao Wang, David M. Herrington, Yue Wang, Tim Fu, Capucine Van Rechem

CoRR, 2023

Machine Learning for Synthetic Data Generation: a Review.

Yingzhou Lu, Huazheng Wang, Wenqi Wei

CoRR, 2023

Deep Learning based Multi-Label Image Classification of Protest Activities.

Yingzhou Lu, Kosaku Sato, Jialu Wang

CoRR, 2023