Multi-granularity Similarity Measure of Cloud Concept. - Jie Yang 052; Guoyin Wang 001; Xukun Li (IJCRS, 2016)

Localizing and Quantifying Damage in Social Media Images. - Xukun Li; Doina Caragea; Huaiyu Zhang; Muhammad Imran 002 (ASONAM, 2018)

HeteroEdge: taming the heterogeneity of edge computing system in social sensing. - Daniel Yue Zhang; Md. Tahmid Rashid; Xukun Li; Nathan Vance; Dong Wang 002 (IoTDI, 2019)

Identifying Disaster Damage Images Using a Domain Adaptation Approach. - Xukun Li; Doina Caragea; Cornelia Caragea; Muhammad Imran 002; Ferda Ofli (ISCRAM, 2019)

A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis. - Wei Wu; Xukun Li; Peng Du; Guanjing Lang; Min Xu; Kaijin Xu; Lanjuan Li (CoRR, 2019)

Localizing and quantifying infrastructure damage using class activation mapping approaches. - Xukun Li; Doina Caragea; Huaiyu Zhang; Muhammad Imran 002 (Soc. Netw. Anal. Min., 2019)

Improving Disaster-related Tweet Classification with a Multimodal Approach. - Xukun Li; Doina Caragea (ISCRAM, 2020)

Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. - Sebastien Levy; Randolph Yao; Youjiang Wu; Yingnong Dang; Peng Huang 005; Zheng Mu; Pu Zhao 004; Tarun Ramani; Naga K. Govindaraju; Xukun Li; Qingwei Lin; Gil Lapid Shafriri; et al. (OSDI, 2020)

Domain Adaptation with Reconstruction for Disaster Tweet Classification. - Xukun Li; Doina Caragea (SIGIR, 2020)

Root anatomy based on root cross-section image analysis with deep learning. - Chaoxin Wang; Xukun Li; Doina Caragea; Raju Bheemanahalli; S. V. Krishna Jagadish (Comput. Electron. Agric., 2020)

Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia. - Xiaowei Xu; Xiangao Jiang; Chunlian Ma; Peng Du; Xukun Li; Shuangzhi Lv; Liang Yu; Yanfei Chen; Junwei Su; Guanjing Lang; Yongtao Li; Hong Zhao; et al. (CoRR, 2020)

Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set. - Wei Wu; Yu Shi; Xukun Li; Yukun Zhou; Peng Du; Shuangzhi Lv; Tingbo Liang; Jifang Sheng (CoRR, 2020)

A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data. - Luann C. Jung; Haiyan Wang 008; Xukun Li; Cen Wu (Stat. Anal. Data Min., 2020)

Onion: identifying incident-indicating logs for cloud systems. - Xu Zhang 024; Yong Xu 010; Si Qin; Shilin He; Bo Qiao 001; Ze Li 005; Hongyu Zhang 002; Xukun Li; Yingnong Dang; Qingwei Lin; Murali Chintalapati; Saravanakumar Rajmohan; et al. (ESEC/SIGSOFT FSE, 2021)

A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis. - Xukun Li; Yukun Zhou; Peng Du; Guanjing Lang; Min Xu; Wei Wu (Appl. Intell., 2021)

RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. - Chang Lou; Cong Chen; Peng Huang 005; Yingnong Dang; Si Qin; Xinsheng Yang; Xukun Li; Qingwei Lin; Murali Chintalapati (OSDI, 2022)

Automatically transferring supervised targets method for segmenting lung lesion regions with CT imaging. - Peng Du; Xiaofeng Niu; Xukun Li; Chiqing Ying; Yukun Zhou; Chang He; Shuangzhi Lv; Xiaoli Liu; Weibo Du; Wei Wu (BMC Bioinform., 2023)