Reputation-based Q-Routing for Robust Inter-committee Routing in the Sharding-based Blockchain. - Zelei Cheng; Zuotian Li; Bowen Sun; Shuhan Zhang; Yuanrong Shao (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Differentially Private Machine Learning Model against Model Extraction Attack. - Zelei Cheng; Zuotian Li; Jiwei Zhang 007; Shuhan Zhang (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Hypergraph Attention Networks. - Chaofan Chen; Zelei Cheng; Zuotian Li; Manyi Wang (TrustCom, 2020)

Poisoning Attack for Inter-agent Transfer Learning. - Zelei Cheng; Zuotian Li (SecureComm (2), 2021)

ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies. - Nanxin Jin; Zuotian Li; Carla Kettler; Baijian Yang 001; Wanzhu Tu; Jing Su 003 (MedInfo, 2023)

SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. - Ziyang Tang; Xiang Liu 016; Zuotian Li; Tonglin Zhang; Baijian Yang 001; Jing Su 003; Qianqian Song (Briefings Bioinform., 2023)

TrialView: An AI-powered Visual Analytics System for Temporal Event Data in Clinical Trials. - Zuotian Li; Xiang Liu; Zelei Cheng; Yingjie Chen; Wanzhu Tu; Jing Su (HICSS, 2024)

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. - Zuotian Li; Xiang Liu 016; Ziyang Tang; Pengyue Zhang; Nanxin Jin; Michael Eadon; Qianqian Song; Yingjie Chen; Jing Su 003 (CoRR, 2024)

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease. - Zuotian Li; Xiang Liu 016; Ziyang Tang; Nanxin Jin; Pengyue Zhang; Michael Eadon; Qianqian Song; Yingjie Victor Chen; Jing Su 003 (J. Am. Medical Informatics Assoc., 2024)

Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL). - Lingzhong Meng; Jiangqiong Li; Xiang Liu 016; Yanhua Sun; Zuotian Li; Jinjin Cai; Ameya D. Parab; George Lu; Aishwarya Budhkar; Saravanan Kanakasabai; David C. Adams; Ziyue Liu; et al. (npj Digit. Medicine, 2025)