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 Tuesday, 18:10 - 19:00
  • Place:#551, 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
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