Xin Huang

Assistant Professor

Name

Contact Info

Phone:
Office:
YR-455

Education

Ph.D., Information Systems, University of Maryland Baltimore County, 2023

Areas of Expertise

AI

Climate informatics

Deep learning

Machine learning

Big data analytics

Earth informatics

Medical image (data) analytics

Cybersecurity informatics

Selected Publications and Presentations

  • X. Huang, X. Meng, W. Zhang, N. Zhao, J. Wang, Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record,The 25th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2023).
  • X. Huang, J. Xie, B. Xu, H. Huang, Z. Li, C. Lu, Y. Guo, Y. Tang, Ultra Real-Time Portrait Matting via Parallel Semantic Guidance, the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023).
  • X. Huang, C Wang, S Purushotham, J Wang, VDAM: VAE based Domain Adaptation for Cloud Property Retrieval from Multi-satellite Data, ACM SIGSPATIAL 2022, Oral Paper.
  • X. Li, J. Li, Z. Williams, X. Huang, M. Carroll, J. Wang, Enhanced Deep Learning Super-Resolution for Bathymetry Data, 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022. 
  • X Tang, X. Huang, W Zhang, TB Child, Q Hu, Z Liu, J Zhang, Cognitive visual commonsense reasoning using dynamic working memory, International Conference on Big Data Analytics and Knowledge Discovery, 81-93, DaWaK 2021.
  • X. Huang, W. Zhang, X. Tang, M. Zhang, J. Surbiryala, V. Iosifidis, Z. Liu and J. Zhang, “LSTM Based Sentiment Analysis for Cryptocurrency Prediction,” International Conference on Database Systems for Advanced Applications (DASFAA), 2021.
  • Zheng, J; X. Huang; Sangondimath, Supriya; Wang, Jianwu; Zhang, Zhibo. “Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework,” Remote Sensing, Basel Vol. 13, Iss. 17, 2021.
  • S. Ali, Y. Huang, X. Huang, J. Wang, “Sea Ice Forecasting using Attention-based Ensemble LSTM,” Tackling Climate Change with Machine Learning Workshop at 2021 International Conference on Machine Learning (ICML workshop 2021)
  • X. Huang, S. Ali, C. Wang, Z. Ning, S. Purushotham, J. Wang, and Z. Zhang. “Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite Data.” 2020 IEEE International Conference on Big Data (IEEE BigData 2020), IEEE, 2020.
  • J. Wang, X. Huang, J. Zheng, etc. “Scalable Aggregation Service for Satellite Remote Sensing Data.” 20th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2020), Springer, 2020.
  • X. Tang, L Zhang, W.  Zhang, X. Huang, V. Iosifidis, Z. Liu, M. Zhang, E. Messina, and J. Zhang. “Using Machine Learning to Automate Mammogram Images Analysis,” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 2o2o.
  • X. Huang, F. Monrose, M. Reiter. “Amplifying Limited Expert Input to Sanitize Large Network Traces.” IEEE/IFIP Int. Conf. on Dependable Systems and Networks (DSN), 2011.
  • T. Yen, X. Huang, F. Monrose, M. Reiter. “Browser Fingerprinting from Coarse Traffic Summaries.” 6th Conf. on Detection of Intrusions and Malware and Vulnerability Analysis (DIMVA), 2009.
  • L. Zhang, X. Huang, Y J. Kim, D. Manocha, “D-Plan: Efficient Collision-Free Path Computation For Part Removal and Disassembly,” International CAD Conference (CAD'08), 2008, Best Paper Award.
  • X. Huang, S Li, G Wang, Displacement modeling: Hardware-accelerated interactive feature modeling on subdivision surfaces, The 25th Computer Graphics International Conference (CGI 2007), selected to be published in “The Visual Computer.”
  • X. Huang, S Li, G Wang, A GPU based interactive modeling approach to designing fine level features, Proceedings of Graphics Interface (GI 2007), 305-311.