Yingzhou Lu

According to our database, Yingzhou Lu authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs.

Yuxuan Lu, Ziyi Wang, Yingzhou Lu, Yisi Sang, Jiri Gesi, Xianfeng Tang, Yimeng Zhang, Zhenwei Dai, Hui Liu, Hanqing Lu, Chen Luo, Qi He, Benoît Dumoulin, Jing Huang, Dakuo Wang

CoRR, May, 2026

BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks.

Xinming Tu, Tianze Wang, Yingzhou Lu, Kexin Huang, Yuanhao Qu, Sara Mostafavi

CoRR, April, 2026

Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection.

William Pan, Guiran Liu, Binrong Zhu, Qun Wang, Yingzhou Lu, Beiyu Lin, Rose Qingyang Hu

CoRR, January, 2026

Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design.

Kangyu Zheng, Kai Zhang, Jiale Tan, Xuehan Chen, Yingzhou Lu, Zaixi Zhang, Lichao Sun, Marinka Zitnik, Tianfan Fu, Zhiding Liang

Trans. Mach. Learn. Res., 2026

2025

LLM Assisted Alpha Fairness for 6 GHz WiFi and NR_U Coexistence: An Agentic Orchestrator for Throughput, Energy, and SLA.

Qun Wang, Yingzhou Lu, Guiran Liu, Binrong Zhu, Yang Liu

CoRR, October, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

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

CoRR, August, 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, Jintai Chen, Tianfan Fu, Xiao Wang

CoRR, March, 2025

Gradient GA: Gradient Genetic Algorithm For Drug Molecular Design.

Debadyuti Mukherjee, Chris Zhuang, Yingzhou Lu, Tianfan Fu, Ruqi Zhang

Trans. Mach. Learn. Res., 2025

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, Honghao Gao, Xiaobo Liu

Eng. Appl. Artif. Intell., 2025

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation.

Zerui Xu, Fang Wu, Yingzhou Lu, Yuanyuan Zhang, Yue Zhao

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024

Political-LLM: Large Language Models in Political Science.

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

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

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

DDN3.0: determining significant rewiring of biological network structure with differential dependency networks.

Yi Fu, Yingzhou Lu, Yizhi Wang, Bai Zhang, Zhen Zhang, Guoqiang Yu, Chunyu Liu, Robert Clarke, David M. Herrington, Yue Wang

Bioinform., 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