Publications

Full publications can be found at the google scholar 

• Y. Shi, C. Wang, X. Huang, Identifying Wildfire Smoke Plumes: Integrating Physics- informed Machine Learning with High Spatial, Temporal, and Spectral Observations, Accepted at The 21st Asia Oceania Geosciences Society (AOGS) Meeting (AOGS 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)