Publications
Full publications can be found at the google scholar
X. Li, A. M. Sayer, I. T. Carroll, X. Huang, J. Wang. MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval. Accepted at the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD 2024)
C. Lyu, J. Xie, B. Xu, C. Lu, H. Huang, X. Huang, M. Wu, C. Zhang, Y. Tang, Privileged Prior Information Distillation for Image Matting, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)
Z. Fan, R. Jiang, J. Wu, X. Huang, T. Wang, H. Huang, M. Xu, Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning, arxiv.org/abs/2403.02566
X. Huang, Deep Domain Adaptation Technique for Cloud Property Retrieval with Multiple Satellite Remote Sensor Data, Poster, The 104th American Meteorological Society Meeting (AMS 2024)
X. Li, A. Sayer, I. Carroll, X. Huang, J. Wang, MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval, 2024, ArXiv. /abs/2401.16520
Y. Deng, N. Zhao, X. Huang, Early ChatGPT User Portrait through the Lens of Data, Special Session on Social Cognitive Computing in Digital Education and Learning, IEEE International Conference on Big Data (IEEE BigData 2023)
X. Huang, C Wang, W Zhang, S Purushotham, J Wang, DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data, IEEE International Conference on Big Data (IEEE BigData 2023, Regular Paper)
X. Huang, Deep Learning based Cloud Retrieval Techniques Using Multiple Satellite Remote Sensing Data, Poster, American Geophysical Union (AGU 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 International Conference on Acoustics, Speech, and Signal Processing (ICASSP,) 2023
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, C Wang, S Purushotham, J Wang, VDAM: VAE based Domain Adaptation for Cloud Property Retrieval from Multi-satellite Data, ACM SIGSPATIAL 2022, Long 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
Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang, Privileged Prior Information Distillation for Image Matting, arXiv preprint arXiv:2211.14036, 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
J. Zheng, X. Huang, S. Sangondimath, J. Wang, Z. Zhang. Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework. 2021, Remote Sensing 13, no. 17: 3541.
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, 2020
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)
X. Huang, S. Zhang, G. Wang, H. Wang, Optimal matching of images using the combined color feature and spatial feature, Int. Conference on Computational Science (ICCS 2006)