Xukun Li
Cited by
Cited by
Localizing and quantifying damage in social media images
X Li, D Caragea, H Zhang, M Imran
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
Comparison of word embeddings and sentence encodings as generalized representations for crisis tweet classification tasks
H Li, X Li, D Caragea, C Caragea
Proceedings of ISCRAM Asia Pacific, 2018
Identifying disaster damage images using a domain adaptation approach
X Li, D Caragea, C Caragea, M Imran, F Ofli
Proceedings of the 16th International Conference on Information Systems for …, 2019
Heteroedge: taming the heterogeneity of edge computing system in social sensing
D Zhang, T Rashid, X Li, N Vance, D Wang
Proceedings of the International Conference on Internet of Things Design and …, 2019
Predictive and adaptive failure mitigation to avert production cloud VM interruptions
S Levy, R Yao, Y Wu, Y Dang, P Huang, Z Mu, P Zhao, T Ramani, ...
Proceedings of the 14th USENIX Conference on Operating Systems Design and …, 2020
Localizing and quantifying infrastructure damage using class activation mapping approaches
X Li, D Caragea, H Zhang, M Imran
Social Network Analysis and Mining 9 (1), 44, 2019
Root anatomy based on root cross-section image analysis with deep learning
C Wang, X Li, D Caragea, R Bheemanahallia, SVK Jagadish
Computers and Electronics in Agriculture 175, 105549, 2020
Domain adaptation with reconstruction for disaster tweet classification
X Li, D Caragea
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Improving disaster-related Tweet classification with a multimodal approach
L Xukun, D Caragea
ISCRAM 2020 Conference Proceedings–17th International Conference on …, 2020
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data
LC Jung, H Wang, X Li, C Wu
Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (3 …, 2020
New two-sample tests for skewed populations and their connection to theoretical power of Bootstrap-t test
H Wang, B Tong, H Zhang, X Li
Test 26, 661-683, 2017
Rice Root Cross-Section Image Analysis with Deep Learning
C Wang, X Li, D Caragea, RB Rangappa, K Jagadish
ASA, CSSA and SSSA International Annual Meetings (2019), 2019
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