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Yingzhou Lu
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2020 – today
- 2024
- [i12]Tianyi Chen, Nan Hao, Yingzhou Lu, Capucine Van Rechem:
Uncertainty Quantification on Clinical Trial Outcome Prediction. CoRR abs/2401.03482 (2024) - [i11]Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, Jian Wu:
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model. CoRR abs/2404.01273 (2024) - [i10]Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu:
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? CoRR abs/2406.03403 (2024) - [i9]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:
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. CoRR abs/2407.00631 (2024) - [i8]Yingzhou Lu, Yaojun Hu, Chenhao Li:
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing. CoRR abs/2407.02265 (2024) - [i7]Yinlong Xu, Xiaoqiang Liu, Zitai Kong, Yixuan Wu, Yue Wang, Yingzhou Lu, Honghao Gao, Jian Wu, Hongxia Xu:
MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network. CoRR abs/2407.20893 (2024) - [i6]Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu:
BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba. CoRR abs/2408.02600 (2024) - [i5]Bohao Xu, Yingzhou Lu, Chenhao Li, Ling Yue, Xiao Wang, Nan Hao, Tianfan Fu, Jim Chen:
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction. CoRR abs/2408.05696 (2024) - [i4]Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong Lee, Tianfan Fu, Jintai Chen:
Protein-Mamba: Biological Mamba Models for Protein Function Prediction. CoRR abs/2409.14617 (2024) - 2023
- [b1]Yingzhou Lu:
Machine learning enabled bioinformatics tools for analysis of biologically diverse samples. Virginia Tech, Blacksburg, VA, USA, 2023 - [i3]Yingzhou Lu, Kosaku Sato, Jialu Wang:
Deep Learning based Multi-Label Image Classification of Protest Activities. CoRR abs/2301.04212 (2023) - [i2]Yingzhou Lu, Huazheng Wang, Wenqi Wei:
Machine Learning for Synthetic Data Generation: a Review. CoRR abs/2302.04062 (2023) - [i1]Yingzhou Lu, Minjie Shen, Yue Zhao, Chenhao Li, Fan Meng, Xiao Wang, David M. Herrington, Yue Wang, Tim Fu, Capucine Van Rechem:
GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization. CoRR abs/2312.14249 (2023)
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