Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
Human activity recognition using DNN fusion model.
A project to perform people identification at a distance using face and gait data with deep learning
Hybrid 1D+2D fusion for induction motor startup current fault diagnosis (reassigned spectrogram + FiLM)
道·量化研究：83篇A股市量化分析研究文章，基于双引擎四层融合模型 | Dao Quant Research: 83 A-share quantitative analysis articles with dual-engine fusion model
Image Captioning using Neural Networks
Frequency Analysis. Decay Factors Calculation. Bayesian Fusion with Mechanics. Clustering and Correlation. Monte Carlo Simulations. Sequential / Temporal Features. First-Order Markov Chain. Shannon Entropy Features. Quantum Encoder Training. Quantum Features & Kernel. Deep Learning Fusion Model.
Using modified autoencoders to color black and white photos
Fusion-based multi-view deep learning for breast cancer detection using EfficientNet-B3 & DenseNet-121 with Grad-CAM explainability. Published at CIIR 2026.
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