Data Mining Seminar

About Seminar

In the data mining seminar, we have talks about various data mining, machine learning, and AI related topics, including data analysis methods, applications, and scalable platforms. The seminar information is as follows.

  • Time: Every Tuesday, 17:30 - 18:30
  • Place: ZOOM
  • 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 (

During the seminar, free pizza is provided to participants.


Date Title Speaker
Nov 17, 2020 Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Tairen Piao
Nov 10, 2020 Learning Not to Learn: Training Deep Neural Networks with Biased Data Hyunsik Jeon
Nov 3, 2020 Learning Intrinsic Sparse Structures within Long Short-Term Memory Dong Hae Jang
Oct 27, 2020 Graph Convolutional Neural Networks for Web-Scale Recommender Systems Jaemin Yoo
Oct 6, 2020 ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Ikhyun Cho
Sep 29, 2020 Determining Relative Airport Threats from News and Social Media Vladimir Egay
Sep 22, 2020 BAGAN: Data Augmentation with Balancing GAN Jay Lee
Sep 15, 2020 GhostNet: More Features from Cheap Operations Jun-gi Jang
Sep 8, 2020 BOHB: Robust and Efficient Hyperparameter Optimization at Scale Seungcheol Park
Sep 1, 2020 Spectral Representations for Convolutional Neural Networks Yongchan Park
Aug 24, 2020 Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Seongmin Lee
Aug 10, 2020 Graph Transformer Networks Junghun Kim
Aug 3, 2020 Multi-Aspect Streaming Tensor Completion Sangjun Son
Jul 27, 2020 MrMine: Multi-resolution Multi-network Embedding Chaeheum Park
Jul 20, 2020 ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models Shuyu Wang
Jul 13, 2020 Universal Source-Free Domain Adaptation Huiwen Xu
Jul 6, 2020 Stock Movement Prediction from Tweets and Historical Prices Minyong Cho
Jun 29, 2020 DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams Dawon Ahn
Jun 22, 2020 Diffusion Improves Graph Learning Jinhong Jung
Jun 16, 2020 Distilling Knowledge from Graph Convolutional Networks Jaemin Yoo
Jun 9, 2020 Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States Junghoon Kim
May 26, 2020 Trained Ternary Quantization Tairen Piao
May 19, 2020 Data-Free Learning of Student Networks Hyunsik Jeon
May 12, 2020 AMC: AutoML for Model Compression and Acceleration on Mobile Devices HyunDong Lee
Apr 28, 2020 Discriminative Sample Generation for Deep Imbalanced Learning Jay Lee
Apr 21, 2020 Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss Seungcheol Park
Apr 14, 2020 Adversarial Substructured Representation Learning for Mobile User Profiling Chaeheum Park
Apr 7, 2020 Binary Classification from Positive-Confidence Data Shuyu Wang
Mar 31, 2020 Deep Model Transferability from Attribution Maps Huiwen Xu
Mar 24, 2020 Enhancing Stock Movement Prediction with Adversarial Training Minyong Cho
Mar 10, 2020 Accelerating Online CP Decompositions for Higher Order Tensors Jun gi Jang
Feb 17, 2020 Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition Dawon Ahn
Jan 20, 2020 Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference Jaemin Yoo
Jan 13, 2020 Iterative Metric Learning for Imbalance Data Classification Junghoon Kim
Jan 6, 2020 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Tairen Piao


Date Title Speaker
Dec 23, 2019 Convolutional 2D Knowledge Graph Embeddings Jinhong Jung
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