H. Tang

Wang, X. ., Liu, J. ., Tang, H. ., Zhu, Z. ., & Seiple, W. H. (2023). An AI-enabled Annotation Platform for Storefront Accessibility and Localization. Journal on Technology and Persons With Disabilities, 11, 19. Retrieved from https://par.nsf.gov/biblio/10440677

Chang, Y. ., Chen, J. ., Franklin, T. ., Zhang, L. ., Ruci, A. ., Tang, H. ., & Zhu, Z. . (2020). Multimodal Information Integration for Indoor Navigation Using a Smartphone. In IRI2020 - The 21st IEEE International Conference on Information Reuse and Integration for Data Science (p. 8). http://doi.org/10.1109/IRI49571.2020.00017

Zhu, Z. ., Gong, J. ., Feeley, C. ., Vo, H. ., Tang, H. ., Ruci, A. ., … Wu, Z. Y. (2020). SAT-Hub: Smart and Accessible Transportation Hub for Assistive Navigation and Facility Management. In Harvard CRCS Workshop on AI for Social Good. Retrieved from https://par.nsf.gov/biblio/10185779

Olmschenk, G. ., Chen, J. ., Tang, H. ., & Zhu, Z. . (2019). Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. In IEEE Conference on Computer Vision and Pattern Recognition: Learning with Imperfect Data Workshop (p. 8). Retrieved from https://par.nsf.gov/biblio/10110611