A technical explanation of TLV-CoRe, covering tactile-language-vision alignment, sensor-agnostic tactile representation learning, Sensor-Aware Modulation, tactile-irrelevant decoupling, Unified Bridging Adapters, contrastive learning, RSS evaluation, and key empirical findings.

A technical explanation of PSMGD, covering multi-objective optimization, gradient conflict, periodic stochastic multi-gradient descent, convergence intuition, backpropagation complexity, and key empirical findings.

Study notes connecting classifier accuracy, confusion matrices, precision, recall, ROC/AUC, PR curves, calibration, cost-sensitive thresholds, generative classifiers, Gaussian class-conditional models, sigmoid/softmax, LDA, and QDA.

Notes on revisiting machine learning and deep learning with Dive into Deep Learning, PyTorch and conda setup, GPU environments, and ART/WiFi adversarial robustness tooling.

Personal notes on early ChatGPT and AI-tool experiences, including learning advice, coding productivity, academic writing, debugging, and end-to-end ML assignment workflows.

A beginner-friendly study note on convolutional neural networks, covering image tensors, convolution filters, feature maps, receptive fields, pooling, softmax, cross-entropy, and why CNNs work in deep learning.

A practical Git and GitHub command notebook covering clone, init, add, commit, log, checkout, reset, branch, merge, push, pull, and common remote-push troubleshooting.

A running note on building and maintaining this Hexo + GitHub Pages website, including setup links, common bugs, Hexo commands, deployment flow, image handling, Markdown, and LaTeX tips.