NEWS
- 06/18/2024: Exciting news! We've been awarded a one-year pilot research grant from Google to explore Image Generation Bias.
- 05/28/2024: A paper about multi-classification of neuropsychiatric disorders is accepted to IEEE Journal of Biomedical and Health Informatics (impact factor: 7.7).
- Title: H-Net: Heterogeneous neural network for multi-classification of neuropsychiatric disorders
- 04/24/2024: Congrats to Cristian Moran for receiving the First Place Poster Award at the 10th Texas A&M University-San Antonio Student Research Symposium.
- Title: Spatial-Temporal Roadway Accident Visualization and Analysis in San Antonio
- 02/01/2024: Congrats to my undergraduate student Mr. M received the Dream.US Scholarship.
- 11/06/2023: A paper about road safety estimation is accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (impact factor: 5.5).
- Title: Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through MultiScale Aerial Images and Self-Supervised Learning
- 10/01/2023: The grant proposal of Jag-AI has been awarded by NSF for $385,313. The grant will fund my research on cross-modality feature embedding in the medical domain and some projects on cybersecurity from January 2024 to December 2025.
- 08/26/2023: A paper about the assessment of DeepSpeed acceleration library on image classification is accepted to Cluster Computing (impact factor: 4.4).
- 07/29/2023: A paper about COVID-19 diagnosis using Chest X-ray Image is accepted to Bioengineering (impact factor: 4.6).
- 04/27/2023: A paper about stroke lesion segmentation is accepted to IEEE Journal of Biomedical and Health Informatics (impact factor: 7.7).
- 04/17/2023: Congrats to Jesus "Jesse" Guerrero on successfully defending his thesis.
- 11/15/2022: Happy to announce we have one paper on medical imaging is accepted to Neurocomputing (impact factor: 6.0) and one abstract on cyber security is accepted to the Annual Computer Security Applications Conference.
- Journal Paper: A Spatiotemporal Correlation Deep Learning Network for Brain Penumbra Disease
- Conference Abstract: Mutation-Based Adversarial Attack on Neural Text Detectors
- 06/02/2022: Our CCTS Pilot application entitled “Unsupervised Deep Learning Denoising in CT Imaging of Obese Patients” has been selected for funding through the UK CCTS and the AIM Alliance Pilot Program.
- 05/17/2022: I am happy to announce that our paper "Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity" has been accepted to #ICPR2022. The work is primarily carried out by my independent study, Eric Xing, a high schooler! Hooray!
- 11/16/2021: Congratulate Eric Xing, my independent student, on receiving the 3rd place best abstract award at the ACM Mid-Southeast (ACM-MidSE) Conference.
- Abstract title: Can We Trust Neural Networks? An Analysis of Neural NetworkUncertainty by the Learned Feature Space.
- 10/15/2021: A paper about semi-supervised domain adaptation using dynamic feature alignment approach is accepted to the 32nd British Machine Vision Conference (BMVC'21). (Acceptance rate 26.19%)
- Title: Dynamic Feature Alignment for Semi-supervised Domain Adaptation
- 08/30/2021: A journal paper about CNN pre-training using unstructured text as weak supervision is accepted to IEEE Journal of Biomedical and Health Informatics (impact factor: 7.7).
- Title: Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
- 07/28/2021: Our NASA EPSCoR grant is awarded! The total award is $750,000. Congratulations, team!
- More News ...
