In the data mining seminar, we have talks about various data mining, machine learning, and AI related topics, including data analysis methods, applications, and scalable platforms. The seminar information is as follows.
The seminar schedule is announced every Friday right before the next Monday seminar via email. So if you are interested in our seminar, please feel free to email us to be registered in the seminar mailing list. The contact information for anything related to the seminar is as follows.
During the seminar, free pizza is provided to participants.
| Date | Title | Speaker |
|---|---|---|
| Jul 13, 2020 | Universal Source-Free Domain Adaptation | Huiwen Xu |
| Jul 6, 2020 | Stock Movement Prediction from Tweets and Historical Prices | Minyong Cho |
| Jun 29, 2020 | DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams | Dawon Ahn |
| Jun 22, 2020 | Diffusion Improves Graph Learning | Jinhong Jung |
| Jun 16, 2020 | Distilling Knowledge from Graph Convolutional Networks | Jaemin Yoo |
| Jun 9, 2020 | Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States | Junghoon Kim |
| May 26, 2020 | Trained Ternary Quantization | Tairen Piao |
| May 19, 2020 | Data-Free Learning of Student Networks | Hyunsik Jeon |
| May 12, 2020 | AMC: AutoML for Model Compression and Acceleration on Mobile Devices | HyunDong Lee |
| Apr 28, 2020 | Discriminative Sample Generation for Deep Imbalanced Learning | Jay Lee |
| Apr 21, 2020 | Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss | Seungcheol Park |
| Apr 14, 2020 | Adversarial Substructured Representation Learning for Mobile User Profiling | Chaeheum Park |
| Apr 7, 2020 | Binary Classification from Positive-Confidence Data | Shuyu Wang |
| Mar 31, 2020 | Deep Model Transferability from Attribution Maps | Huiwen Xu |
| Mar 24, 2020 | Enhancing Stock Movement Prediction with Adversarial Training | Minyong Cho |
| Mar 10, 2020 | Accelerating Online CP Decompositions for Higher Order Tensors | Jun gi Jang |
| Feb 17, 2020 | Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition | Dawon Ahn |
| Jan 20, 2020 | Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference | Jaemin Yoo |
| Jan 13, 2020 | Iterative Metric Learning for Imbalance Data Classification | Junghoon Kim |
| Jan 6, 2020 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Tairen Piao |
| Date | Title | Speaker |
|---|---|---|
| Dec 23, 2019 | Convolutional 2D Knowledge Graph Embeddings | Jinhong Jung |
| Dec 2, 2019 | Knowledge Extraction with No Observable Data | Jaemin Yoo |
| Nov 25, 2019 | Data Context Adaptation for Accurate Recommendation with Additional Information | Hyunsik Jeon |
| Nov 18, 2019 | Graph HyperNetworks for Neural Architecture Search | HyunDong Lee |
| Nov 11, 2019 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | Jay Lee |
| Oct 28, 2019 | EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees | Jaemin Yoo |
| Oct 14, 2019 | Summarizing and Understanding Large Graphs | Chaeheum Park |
| Sep 30, 2019 | Exploiting LIDAR-based Features on Pedestrian Detection in Urban Scenarios | ShuYu Wang |
| Sep 23, 2019 | NPA: Neural News Recommendation with Personalized Attention | BonHun Koo |
| Sep 16, 2019 | Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding | HuiWen Xu |
| Sep 9, 2019 | Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding | MinYong Cho |
| Aug 13, 2019 | CoSTCo: A Neural Tensor Completion Model for Sparse Tensors | Jungi Jang |
| July 30, 2019 | Belief Propagation Network for Hard Inductive Semi-Supervised Learning | Jaemin Yoo |
| July 23, 2019 | TensorCast: Forecasting with Context using Coupled Tensors | dawonahn |
| July 16, 2019 | Attention is all you need | Bumjoon Park |
| July 9, 2019 | Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation | Junhyun Koh |
| July 2, 2019 | Exploring Randomly Wired Neural Networks for Image Recognition | Seungcheol Park |
| June 25, 2019 | Deep Learning for Event-Driven Stock Prediction | Junghoon Kim |
| June 18, 2019 | Distilling a Neural Network Into a Soft Decision Tree | Jaemin Yoo |
| June 4, 2019 | Graph Neural Networks meet Personalized PageRank | Jinhong Jung |
| May 28, 2019 | ShuffleNet V2: Practical Guideline for Efficient CNN Architecture Design | Chun Quan |
| May 21, 2019 | Graph Convolutional Matrix Completion | Hyunsik Jeon |
| May 7, 2019 | Semi-Supervised Classification with Graph Convolutional Networks | Jay Lee |
| Apr 30, 2019 | Simple and Effective Multi-Paragraph Reading Comprehension | Chaeheum park |
| Apr 16, 2019 | Temporal Pattern Attention for Multivariate Time Series Forecasting | Yang Bai |
| Apr 9, 2019 | Usage Of Multiple LIDAR Sensors On A Mobile System For The Detection Of Persons With Implicit Shape Model | Shuyu Wang |
| Apr 2, 2019 | STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation | BooHun Koo |
| Mar 26, 2019 | Conditional Adversarial Domain Adaptation | Huiwen Xu |
| Mar 12, 2019 | Neural Tensor Factorization for Temporal Interaction Learning | Jun-Gi Jang |
| Mar 5, 2019 | Fast Range Image-Based Segmentation of Sparse 3D Laser Scans for Online Operation | Seungcheol Park |
| Feb 18, 2019 | Revisiting Semi-Supervised Learning with Graph Embeddings | Jaemin Yoo |
| Feb 11, 2019 | Modeling Real-world Networks: Stochastic Kronecker Graph and R-MAT | Jinhong Jung |
| Jan 28, 2019 | Mask R-CNN | Sumin Hong |
| Jan 21, 2019 | Paraphrasing Complex Network: Network Compression via Factor Transfer | Chun Quan |
| Jan 14, 2019 | Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks | Hyunsik Jeon |
| Jan 7, 2019 | Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage | Minsoo Jung |