We host a biweekly meeting “AI/ML Journal Club” beginning on January 23, 2024, from 9 AM to 10 AM (CT).
The Journal Club will be conducted in a hybrid mode. The physical meeting room is DRC I 6003.
The Zoom link is https://unmc.zoom.us/j/94435819629?pwd=R1A5Qnhtd1g0ZHlqcXNUZFZBR2Z5QT09&from=addon.
| 2025 Schedule | |||
| Speaker | Date | Paper/Title | Room |
| Lusheng Li | 10/14/2025 | Alternating Direction Method of Multipliers (ADMM) | 6003 |
| Yanan Lou | 09/30/2025 | Linear Neighborhood Propagation | 6003 |
| Nicholas Peterson | 09/16/2025 | Kernel Learning | 6003 |
| Min-jeong Baek | 09/02/2025 | Canonical Correlation Analysis--Seurat v2 | 6003 |
| Mengtao Sun | 08/19/2025 | DBSCAN | 6003 |
| Xinchao Wu | 08/05/2025 | Federated Learning | 6003 |
| Lusheng Li | 07/22/2025 | Wasserstein Distance | 6003 |
| Hanyu Xiao | 07/08/2025 | KAN: Kolmogorov–Arnold Networks | 6003 |
| Yanan Lou | 06/24/2025 | Maximum Diversity Clustering | 6003 |
| Nicholas Peterson | 06/10/2025 | Cluster-based Similarity Partitioning Algorithm (CSPA) | 6003 |
| Min-jeong Baek | 05/27/2025 | Bayesian Neural Network | 6003 |
| Mengtao Sun | 05/13/2025 | Large Language Models | 6003 |
| Xinchao Wu | 04/29/2025 | Generative Pre-trained Transformer (GPT) | 6003 |
| Lusheng Li | 04/15/2025 | Kullback–Leibler Divergence | 6003 |
| Hanyu Xiao | 04/01/2025 | Transfer Entropy | 6003 |
| Anulika Pearl Nwashili | 03/18/2025 | Spectral Clustering | 6003 |
| Mengtao Sun | 03/04/2025 | Contrastive Learning | 6003 |
| Nicholas Peterson | 02/18/2025 | Self-Organizing Maps (SOMs) | 6003 |
| Min-jeong Baek | 02/04/2025 | Generative Adversarial Networks (GAN) II | 6003 |
| Yanan Lou | 01/21/2025 | Mutual Nearest Neighbor | 6003 |
| Xinchao Wu | 01/07/2025 | Self-Supervised Learning | 6003 |
| 2024 Schedule | |||
| Speaker | Date | Paper/Title | Room |
| Lusheng Li | 12/10/2024 | Diffusion Models | 6003 |
| Hanyu Xiao | 11/26/2024 | Louvain clustering | 6003 |
| Nicholas Peterson | 11/12/2024 | Support Vector Machine II | 6003 |
| Min-jeong Baek | 10/29/2024 | Transfer Learning II | 6003 |
| Ziyang Xu | 10/15/2024 | nnU-net | 6003 |
| Charlie Soh | 10/01/2024 | SHAP (SHapley Additive exPlanations) | 6003 |
| Mengtao Sun | 09/17/2024 | Transfer Learning | 6003 |
| Ruobing Liu | 09/03/2024 | nnU-net | 6003 |
| Lusheng Li | 08/20/2024 | Generative Adversarial Networks (GAN) | 6003 |
| Hanyu Xiao | 08/06/2024 | Deep Reinforcement Learning | 6003 |
| Xinchao Wu | 07/23/2024 | cNMF | 6003 |
| Lusheng Li | 07/09/2024 | UMAP | 6003 |
| Mengtao Sun | 06/25/2024 | Convolutional Neural Networks (CNN) | 6003 |
| Hanyu Xiao | 06/11/2024 | Recurrent Neural Networks (RNN) | 6003 |
| Mengtao Sun | 05/28/2024 | Multi-Layer Perceptron | 6003 |
| Hanyu Xiao | 05/14/2024 | Restricted Boltzmann Machine | 6003 |
| Wenhao Zhang | 04/30/2024 | Transformer | 6003 |
| Lusheng Li | 04/16/2024 | Non-negative Matrix Factorization (NMF) | 6003 |
| Mengtao Sun | 04/02/2024 | Autoencoder | 6003 |
| Hanyu Xiao | 03/19/2024 | LASSO | 6003 |
| Lusheng Li | 03/12/2024 | Back-Propagation | 6003 |
| Wenhao Zhang | 02/20/2024 | U-Net | 6003 |
| Mengtao Sun | 02/06/2024 | Gradient Descent | 6003 |
| Hanyu Xiao | 01/23/2024 | Expectation-Maximization (EM) Algorithm | 6003 |
| 2023 Schedule | |||
| Speaker | Date | Paper/Title | Room |
| Lusheng Li | 12/12/2023 | XGBoost | 6003 |
| Hanyu Xiao | 11/28/2023 | Neural network | 6003 |
| Andy Liu | 11/14/2023 | Naive Bayes | 6003 |
| Mengtao Sun | 10/31/2023 | Principal component analysis (PCA) | 6003 |
| Hanyu Xiao | 10/17/2023 | Linear Regression (LR) | 6003 |
| Lusheng Li | 10/03/2023 | The Introduction of Decision Tree and Random Forest | 6003 |
| Mengtao Sun | 09/19/2023 | Hierarchical clustering | 6003 |
| Hanyu Xiao | 09/05/2023 | K-Nearest Neighbors (KNN) | 6003 |
| Mengtao Sun | 08/23/2023 | Support vector machine | 6003 |
| Lusheng Li | 08/08/2023 | The art of using t-SNE for single-cell transcriptomics | 6003 |