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, 18:20 - 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 Tuesday 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

Fall 2018

Date Title Speaker
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

Past Semester Schedule

Spring 2018

Date Title Speaker
Jun 25, 2018 StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Minyong Cho
Jun 19, 2018 Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks Bonhun Koo
Jun 5, 2018 Deep Transfer Learning with Joint Adaptation Networks Huiwen Xu
May 29, 2018 Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets Jaemin Yoo
May 15, 2018 SlashBurn: Graph Compression and Mining beyond Caveman Communities Jinhong Jung
May 8, 2018 Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking Ha-Myung Park
May 1, 2018 Training Compressed Fully-Connected Networks With a Density-Diversity Penalty Taebum Kim
Apr 10, 2018 TPA: Fast, Scalable and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs Minji Yoon
Apr 3, 2018 Scalable Tucker Factorization for Sparse Tensors Sejoon Oh
Mar 27, 2018 SIDE: Representation Learning in Signed Directed Networks Junghwan Kim
Mar 20, 2018 How to Do Great Research - 7 Lessons From My Experiences Professor U Kang
Mar 13, 2018 A Local Algorithm for Structure-Preserving Graph Cut Woojeong Jin
Mar 6, 2018 Pruning Filters for Efficient ConvNets Chun Quan
Feb 13, 2018 Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding Hyungsik Jeon
Jan 23, 2018 SPARTan: Scalable PARAFAC2 for Large & Sparse Data Jun-gi Jang
Jan 16, 2018 Anomaly Detection with Robust Deep Autoencoders Minsoo Jung
Jan 9, 2018 Scalable Top-n Local Outlier Detection Yang Bai