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2020 – today
- 2025
[j2]Xiaoqiang Liu, Yinlong Xu
, Hongxia Xu, Liang He, Siyu Long, Yisen Huang, Yubin Wang, Yingzhou Lu, Yingxuan Huang, Jian Wu, Honghao Gao, Xiaobo Liu:
Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms. Eng. Appl. Artif. Intell. 152: 110675 (2025)- [j1]Debadyuti Mukherjee, Chris Zhuang, Yingzhou Lu, Tianfan Fu, Ruqi Zhang:
Gradient GA: Gradient Genetic Algorithm For Drug Molecular Design. Trans. Mach. Learn. Res. 2025 (2025) - [i17]Chris Zhuang, Debadyuti Mukherjee, Yingzhou Lu, Tianfan Fu, Ruqi Zhang:
Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design. CoRR abs/2502.09860 (2025) - [i16]Xiangrui Liu, Yuanyuan Zhang, Yingzhou Lu, Changchang Yin, Xiaoling Hu, Xiaoou Liu, Lulu Chen, Sheng Wang, Alexander Rodriguez, Huaxiu Yao, Yezhou Yang, Ping Zhang, Jintai Chen, Tianfan Fu, Xiao Wang:
Biomedical Foundation Model: A Survey. CoRR abs/2503.02104 (2025) - [i15]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i14]Qun Wang, Yingzhou Lu, Guiran Liu, Binrong Zhu, Yang Liu:
LLM Assisted Alpha Fairness for 6 GHz WiFi and NR_U Coexistence: An Agentic Orchestrator for Throughput, Energy, and SLA. CoRR abs/2510.17814 (2025) - 2024
- [i13]Tianyi Chen, Nan Hao, Yingzhou Lu, Capucine Van Rechem:
Uncertainty Quantification on Clinical Trial Outcome Prediction. CoRR abs/2401.03482 (2024) - [i12]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) - [i11]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) - [i10]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) - [i9]Yingzhou Lu, Yaojun Hu, Chenhao Li:
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing. CoRR abs/2407.02265 (2024) - [i8]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) - [i7]Ling Yue, Sixue Xing, Yingzhou Lu, Tianfan Fu:
BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba. CoRR abs/2408.02600 (2024) - [i6]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) - [i5]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) - [i4]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (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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