Tang, Haixu

An Eulerian path approach to DNA fragment assembly

Pevzner, P. A., Tang, H., & Waterman, M. S. (2001) · Proceedings of the National Academy of Sciences

Genomics and Phylogenetic StudiesAlgorithms and Data Compression

Cited by 1,352

Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing

Lee, H., Popodi, E., Tang, H., & Foster, P. L. (2012) · Proceedings of the National Academy of Sciences

Evolution and Genetic DynamicsDNA Repair Mechanisms

Cited by 681

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Wang, T., Shao, W., Huang, Z., Tang, H., Zhang, J., Ding, Z., & Huang, K. (2021) · Nature Communications

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 671

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

Wang, W., Chen, G., Pan, X., Zhang, Y., Wang, X., Bindschaedler, V., Tang, H., & Gunter, C. A. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 320

Understanding Membership Inferences on Well-Generalized Learning Models

Long, Y., Bindschaedler, V., Wang, L., Bu, D., Wang, X., Tang, H., Gunter, C. A., & Chen, K. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 166