Publications
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A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
2026arXiv preprint
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GOLDEN Fusion: A Graph-Oriented Learning with Domain-Embedding Network Fusion for Generating Super Gene Sets in Functional Genomics
2026Briefings in Bioinformatics
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Developing Effective Techniques for the Recognition of Shanghai Dialect Text
2025IEEE Access
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A Framework for Modeling County-Level COVID-19 Transmission
2025Frontiers in Public Health
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VideoBadminton: A Video Dataset for Badminton Action Recognition
2024IEEE BigData
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Toden-E: Topology-Based and Density-Based Ensembled Clustering for the Development of Super-PAG in Functional Genomics using PAG Network and LLM
2024bioRxiv preprint
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CA-Wav2Lip: Coordinate Attention-based Speech To Lip Synthesis In The Wild
2023SMARTCOMP
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gScoreCAM: What objects is CLIP looking at?
2022ACCV (Oral)
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A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
2020ACCV (Best Application Paper Honorable Mention)
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Understanding and Improving Generative Adversarial Networks
2020Auburn University (Ph.D. Dissertation)
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Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
2019CVPR
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Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings
2019arXiv preprint
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