Neural Network Fundamental
  • Benchmark Assessment for the DeepSpeed Acceleration Library on Image Classification. Cluster Computing​ (2023). Impact Factor: 4.4 [paper]
  • Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE Journal of Biomedical and Health Informatics (2022).  Impact Factor: 7.7 [paper]
  • Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. 2022 26th International Conference on Pattern Recognition. H5-Index: 58 [project page]
  • Dynamic Feature Alignment for Semi-supervised Domain Adaptation. 2021 32nd British Machine Vision Conference (BMVC). H5-Index: 77. Acceptance Rate: 26.19% (434/1657)  [project page]
  • Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. 2020 31st British Machine Vision Conference (BMVC). H5-Index: 77. Acceptance Rate: 21.01% (195/928)​ [project page]
  • Inconsistent Performance of Deep Learning Models on Mammogram Classification. Journal of the American College of Radiology (2020). Impact Factor: 6.240 [media]
Fine-Grade Road Safety
  • Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. In press. Impact Factor: 5.5 [project page]
  • Pedestrian Detection via a Leg-Driven Physiology Framework. 2016 IEEE International Conference on Image Processing (ICIP). H5-index: 61 [paper]
  • A Geometric Framework for Stop Sign Detection. 2015 IEEE China Summit and International Conference on Signal and Information Processing. [paper]
Emerging Cyber Security

  • Enhancing Neural Text Detector Robustness with μAttacking and RR-Training. Electronics (2023). Impact Factor: 2.9 [paper]
  • Defense-PointNet: Protecting PointNet Against Adversarial Attacks. 2019 IEEE International Conference on Big Data (Big Data). H5-Index: 53. [paper]
Imaging Beyond the Normal Scale
  • Estimating Cluster Masses from SDSS Multiband Images with Transfer Learning. Monthly Notices of the Royal Astronomical Society (2022). Impact Factor: 5.2 [paper]
  • A Deep Learning View of the Census of Galaxy Clusters in IllustrisTNG. ​Monthly Notices of the Royal Astronomical Society (2022). Impact Factor: 5.2 [media] [paper]
  • ​Multi-Branch Attention Networks for Classifying Galaxy Clusters.  2021 25th International Conference on Pattern Recognition. H5-Index: 58 [presentation]
  • Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. 2020 Conference on Neural Information Processing Systems (NeurIPS) Workshop. [paper] [poster]
Biomedical Imaging Analysis
  • H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders.  IEEE Journal of Biomedical and Health Informatics (2024). In press. Impact Factor: 7.7 [paper]
  • Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading. IEEE Journal of Biomedical and Health Informatics (2023).  Impact Factor: 7.7 [paper]
  • A Spatiotemporal Correlation Deep Learning Network for Brain Penumbra Disease. Neurocomputing (2023). Impact Factor: 6.0 [paper]
  • Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Bioengineering (2023). Impact Factor: 4.6 [paper]
  • Decomposition-Based Correlation Learning for Multi-Modal MRI-Based Classification of Neuropsychiatric Disorders. Frontiers in Neuroscience (2022). Impact Factor 4.3 [paper]
  • Advit: Vision Transformer on Multi-Modality PET Images for Alzheimer Disease Diagnosis. 2022 IEEE 19th International Symposium on Biomedical Imaging. H5-Indes: 59 [paper]
  • Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Impact factor: 48
  • Alzheimer’s Disease Classification Using 2D Convolutional Neural Networks. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)​. Impact factor: 48
  • Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification. 2020 European Conference on Computer Vision (ECCV) Workshop. H5-Index: 68
  • β-amyloid and Tau Drive Early Alzheimer’s Disease Cecline while Glucose Hypometabolism Drives Late Decline. Communications Biology (2020). Impact Factor: 6.3
  • Automatic Hand Skeletal Shape Estimation from Radiographs. IEEE Transactions on Nanobioscience (2019). Impact Factor: 3.9
  • Joint 2D-3D Breast Cancer Classification. 2019 IEEE International Conference on Bioinformatics and Biomedicine. H5-Index: 33
  • GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. 2019 IEEE International Conference on Healthcare Informatics. H5-Index: 25
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