In the data mining seminar, we have talks about various data mining related topics, including data analysis, algorithms, and scalable platforms. Especially, our main theme is 'large-scale' data mining. 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 |
|---|---|---|
| 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 |
| Date | Title | Speaker |
|---|---|---|
| Dec 10, 2018 | Doctor AI: Predicting Clinical Events via Recurrent Neural Networks | Yang Bai |
| Dec 03, 2018 | Multiview Random Forest of Local Experts Combining RGB and LIDAR data for Pedestrian Detection | Shuyu Wang |
| Nov 26, 2018 | Convolutional Neural Networks for Large-ScaleRemote-Sensing Image Classification | Junhyun Koh |
| Nov 19, 2018 | StockAssIstant:AStockAIAssistantforReliabilityModelingof StockComments | MinYong Cho |
| Nov 12, 2018 | DRN: A Deep Reinforcement Learning Framework for News Recommendation | Bonhun Goo |
| Nov 5, 2018 | Taskonomy: Disentangling Task Transfer Learning | Huiwen Xu |
| Oct 29, 2018 | Scalable Tucker Factorization for Sparse Tensors - Algorithm and Discoveries | MoonJeong Park |
| Oct 15, 2018 | Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range | Jun-Gi Jang |
| Oct 8, 2018 | Densely Connected Convolutional Networks | Jung hoon Kim |
| Oct 1, 2018 | A simple neural network module for relational reasoning | Sumin Hong |
| Sep 17, 2018 | DeepWalk: Online Learning of Social Representations | Jaemin Yoo |
| Sep 10, 2018 | FASTEN: Fast Sylvester Equation Solver for Graph Mining | Jinhong Jung |
| Sep 3, 2018 | Connected Components in MapReduce and Beyond | Ha-Myung Park |
| Aug 27, 2018 | Distilling the Knowledge in a Neural Network | Taebum Kim |
| Aug 13, 2018 | Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions | Chun Quan |
| Aug 6, 2018 | Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking | Hyungsik Jeon |
| Jul 30, 2018 | SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping | Jun-gi Jang |
| Jul 23, 2018 | Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams | Minsoo Jung |
| Jul 16, 2018 | Incremental Dual-memory LSTM in Land Cover Prediction | Bai Yang |
| Jul 9, 2018 | PixelGAN Autoencoders | YoungJin Kim |
| Jul 2, 2018 | Understanding Black-box Predictions via Influence Functions | Seulki Park |