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, 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:YoungJin Kim (cozymichelle (at)

During the seminar, free pizza is provided to participants.

Current Semester Schedule

Spring 2018

Date Title Speaker
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
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

Past Semester Schedule

Fall 2017

Date Title Speaker
Dec 20, 2017 5:00 pm Pixel Recurrent Neural Networks Youngjin Kim
Dec 6, 2017 A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems Haekyu Park
Nov 29, 2017 Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking Seulki Park
Nov 15, 2017 Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks Jaemin Yoo
Nov 8, 2017 Translating Embeddings for Modeling Multi-relational Data Jinhong Jung
Nov 1, 2017 Training Compressed Fully-Connected Networks with a Density-Diversity Penalty Beunguk Ahn
Oct 18, 2017 Federated Tensor Factorization for Computational Phenotyping Dongjin Choi
Sep 27, 2017 Local Higher-Order Graph Clustering Woojeong Jin
Sep 20, 2017 Beyond Streams and Graphs: Dynamic Tensor Analysis Jungwoo Lee
Sep 12, 2017 Collaborative Variational Autoencoder for Recommender Systems Junghwan Kim
Sep 5, 2017 Sum-Product Networks: A New Deep Architecture Jaemin Yoo
Aug 29, 2017 The shortest path is not always a straight line: Leveraging semi-metricity in graph analysis Chiwan Park
Aug 22, 2017 A Contextual Tensor-Based Approach for Personalized Expert Recommendation Sejoon Oh
Aug 1, 2017 Neural Network Matrix Factorization Ji-eun Lee
Jul 18, 2017 Question Answering with Subgraph Embeddings Minji Yoon
Jul 11, 2017 Linearized and Single-Pass Belief Propagation Saehan Jo
Jul 4, 2017 Music Emotion Recognition via End-to-End Multimodal Neural Networks Byungsoo Jeon