Data Mining Seminar

About Seminar

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.

  • Time: Every Monday, 18:00 - 19:00
  • Place: #551-4 하와이, Building 301, Seoul National University
  • Who can attend: open to everyone including undergraduate, graduate students and professors

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.

  • Seminar organizer: Huiwen Xu (xuhuiwen33@gmail.com)

During the seminar, free pizza is provided to participants.


Current Semester Schedule

Spring 2019

Date Title Speaker
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

Past Semester Schedule

Fall 2018

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