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 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.
During the seminar, free pizza is provided to participants.
| 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 |
| 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 |