Deep Learning based Multi-Label Image Classification of Protest Activities. - Yingzhou Lu; Kosaku Sato; Jialu Wang (CoRR, 2023)

Machine Learning for Synthetic Data Generation: a Review. - Yingzhou Lu; Huazheng Wang; Wenqi Wei 001 (CoRR, 2023)

GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization. - Yingzhou Lu; Minjie Shen; Yue Zhao 016; Chenhao Li; Fan Meng; Xiao Wang 012; David M. Herrington; Yue Wang; Tim Fu; Capucine Van Rechem (CoRR, 2023)

Machine learning enabled bioinformatics tools for analysis of biologically diverse samples. - Yingzhou Lu (2023)

Uncertainty Quantification on Clinical Trial Outcome Prediction. - Tianyi Chen; Nan Hao; Yingzhou Lu; Capucine Van Rechem (CoRR, 2024)

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model. - Yue Wang; Yingzhou Lu; Yinlong Xu; Zihan Ma 002; Hongxia Xu; Bang Du; Honghao Gao; Jian Wu 001 (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)

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 001; Cao Xiao; Jimeng Sun 001; Lucas Glass; Kexin Huang; et al. (CoRR, 2024)

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing. - Yingzhou Lu; Yaojun Hu; Chenhao Li (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 001; Hongxia Xu (CoRR, 2024)

BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba. - Ling Yue; Sixue Xing; Yingzhou Lu; Tianfan Fu (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)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction. - Bohao Xu; Yingzhou Lu; Yoshitaka Inoue; Namkyeong Lee; Tianfan Fu; Jintai Chen (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms. - Xiaoqiang Liu; Yinlong Xu; Hongxia Xu; Liang He; Siyu Long; Yisen Huang; Yubin Wang; Yingzhou Lu; Yingxuan Huang; Jian Wu 001; Honghao Gao; Xiaobo Liu (Eng. Appl. Artif. Intell., 2025)

Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design. - Chris Zhuang; Debadyuti Mukherjee; Yingzhou Lu; Tianfan Fu; Ruqi Zhang (CoRR, 2025)

Biomedical Foundation Model: A Survey. - Xiangrui Liu; Yuanyuan Zhang; Yingzhou Lu; Changchang Yin; Xiaoling Hu; Xiaoou Liu; Lulu Chen; Sheng Wang; Alexander Rodriguez; Huaxiu Yao; Yezhou Yang; Ping Zhang 016; et al. (CoRR, 2025)