Conference Papers
A. Tanvir, A. Dasgupta, and X. Zhong, "TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026, to appear. (preprint: https://arxiv.org/abs/2602.18863)
C. Yang, C. Huang, and X. Zhong, “Multimodal Understanding of Pilot–Controller Communications for Autonomous Airport Services: A Next-Generation Audio-Semantic Interpretation Framework,” in AIAA AVIATION Forum 2026, American Institute of Aeronautics and Astronautics (AIAA), 2026.
A. Almaghrebi, C. Huang, X. Zhong, L. Quad, K. James, and M. Alahmad, “Quantifying Hidden Airspace Safety Risks at Non-Towered Airports Using ADS-B-Based Proximity Analytics,” in AIAA AVIATION Forum 2026, American Institute of Aeronautics and Astronautics (AIAA), 2026.
M. Nishu, C. Huang, M. Roohi, X. Zhong, "Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities," in IEEE Global Humanitarian Technology Conference (GHTC), IEEE, 2025. (preprint: https://arxiv.org/abs/2505.14522)
M. Ahtesham, and X. Zhong, "Text-Guided Image Invariant Feature Learning for Robust Image Watermarking, " in IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), IEEE, 2025. (preprint: https://arxiv.org/abs/2503.13805; Code: https://github.com/Shami1502/Text_Guided_Invariant_Features_for_Robust_DeepLearning_based_Watermarking)
H. Yoon, X. Zhong, A. Dasgupta, G. Nugent, G. Trainin, "Leveraging Artifical Intelligence (AI) to Enhance Computer Science Instruction," in 2024 IEEE Frontiers in Education Conference (FIE), 2024, pp. 1-5. (Link)
B. Karki, C. Tsai, P. Huang, and X. Zhong, "Deep Learning-based Text-in-Image Watermarking," in 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), IEEE, 2024, pp. 376-382. (preprint: https://www.arxiv.org/abs/2404.13134)
B. Karki, X. Zhong, Y. Chen, C. Tsai, "Interpretable Classification of Myositis from Muscle Ultrasound Images," in 2024 8th International Conference on Medical and Health Informatics (ICMHI 2024), ACM, 2024, pp 24-29. (https://dl.acm.org/doi/10.1145/3673971.3673988)
A. Dasgupta, and X. Zhong, "Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning," in 2023 International Conference on Computational Science and Computational Intelligence, IEEE, 2023. (preprint: https://arxiv.org/abs/2310.05395)
D. Panda, P. Basia, K. Nallavolu, X. Zhong, H. Siy, and M. Song, “A Statistical Method for API Usage Learning and API Misuse Violation Finding,” in 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), IEEE, 2023, pp. 358-365.
T. Munyer, D. Brinkman, X. Zhong, C. Huang, and I. Konstantzos, "Foreign Object Debris Detection from Airport Pavement Images based on Self-supervised Localization and Vision Transformer," in 2022 International Conference on Computational Science and Computational Intelligence (CSCI'22), IEEE, 2022. (paper: https://arxiv.org/abs/2210.16901; code: https://github.com/FOD-UNOmaha/FODAnomalyData; Presentation: https://youtu.be/xBKkhkSuvGE)
N. Khatri, A. Dasgupta, Y. Shen, X. Zhong, and F. Y. Shih, "Perspective Transformation Layer", in 2022 International Conference on Computational Science and Computational Intelligence (CSCI'22), IEEE, 2022. (paper: https://arxiv.org/abs/2201.05706; code: https://github.com/kcnishan/Perspective_Transformation_Layer)
A. Das and X. Zhong, "A Deep Learning-based Audio-in-Image Watermarking Scheme," in Visual Communications and Image Processing, IEEE, 2021, pp. 1-5. (paper: https://arxiv.org/abs/2110.02436; code: https://github.com/arjondas/deep-aiwm)
T. Munyer, C. Huang, P. Huang, and X. Zhong, "FOD-A: A Dataset for Foreign Object Debris in Airports," in International Conference on Machine Learning and Applications, IEEE, 2021. (paper: https://arxiv.org/abs/2110.03072)
T. Munyer, D. Brinkman, C. Huang, and X. Zhong, "Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection," in DG. O2021: The 22nd Annual International Conference on Digital Government Research, 2021, pp. 437-443. (preprint: https://arxiv.org/abs/2106.00161)
S. Mastorakis, X. Zhong, P. Huang, and R. Tourani, "DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding," in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-7. (preprint: https://arxiv.org/abs/2010.10334)
D. Abeyrathna, P. Huang, and X. Zhong, "Anomaly Proposal-based Fire Detection for Cyber-Physical Systems," in 2019 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, 2019, pp. 1203-1207. (paper)