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 Wednesday, 17:30 - 18:30
  • Place: 302-308 / 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
05. 17, 2023 Predict then Propagate: Graph Neural Networks meet Personalized PageRank Junghun Kim
05. 10, 2023 Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation Jongjin Kim
05. 03, 2023 KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Hoyoung Yoon
04. 26, 2023 Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking Hyunsik Jeon
04. 12, 2023 Stock Price Prediction Using News Sentiment Analysis Saurav Tanwar
04. 05, 2023 GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction Jeongin Yun
03. 29, 2023 Graph Heterogeneous Multi-Relational Recommendation Jaeri Lee
03. 22, 2023 Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests Jongjin Kim
03. 15, 2023 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Huiwen Xu
03. 08, 2023 A Fast Post-Training Pruning Framework for Transformers Seungcheol Park
02. 27, 2023 IOT: Instance-wise Layer Reordering for Transformer Structures Hyojin Jeon
02. 20, 2023 CuCo: Graph Representation with Curriculum Contrastive Learning Sooyeon Shim
02. 13, 2023 SETN: Stock Embedding Enhanced with Textual and Network Information Jaemin Park
02. 06, 2023 NPA: Neural News Recommendation with Personalized Attention Jiyun Kim
01. 30, 2023 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Taehun Kim
01. 09, 2023 DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Jiwon Park
01. 02, 2023 LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Jong-eun Lee


Date Title Speaker
12. 05, 2022 Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets Yejun Soun
11. 28, 2022 Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values Jun-gi Jang
11. 07, 2022 Neural News Recommendation with Attentive Multi-View Learning Doyeon Kim
10. 24, 2022 Signed Graph Neural Network with Latent Groups Kahyun Park
09. 26, 2022 Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge Hyunsik Jeon
Sep 19, 2022 MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices Jin-gee Kim
Sep 5, 2022 TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records Jeon-gyoung Lee
Aug 22, 2022 A Unified Approach to Interpreting Model Predictions Jihwan Kim
Aug 8, 2022 Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management Jihyeong Jeon
Jul 25, 2022 Block Modeling-Guided Graph Convolutional Neural Networks Junghun Kim
Jul 18, 2022 Spatial Transformer Networks Hoyoung Yoon
Jul 11, 2022 Multi-interest Diversification for End-to-end Sequential Recommendation Jaeri Lee
Jul 4, 2022 Language model compression with weighted low-rank factorization Hyojin Jeon
Jun 27, 2022 Stock Price Prediction via Discovering Multi-Frequency Trading Patterns Yejun Soun
May 30, 2022 Accelerating Online CP Decompositions for Higher Order Tensors Jun-gi Jang
May 16, 2022 A Pre-Filtering Approach for Incorporating Contextual Information Into Deep Learning Based Recommender Systems Jongjin Kim
May 2, 2022 DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors Jun-gi Jang
Apr 25, 2022 Data Augmentation for Graph Classification Sooyeon Shim
Apr 11, 2022 Goal-Directed Extractive Summarization of Financial Reports Jaemin Park
Apr 4, 2022 Neural Architecture Search without Training Seungcheol Park
Mar 28, 2022 Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Huiwen Xu
Mar 21, 2022 MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hyunsik Jeon
Mar 14, 2022 A Fourier Perspective on Model Robustness in Computer Vision Yong-chan Park
Feb 28, 2022 Influence-guided Data Augmentation for Neural Tensor Completion Jun-gi Jang
Feb 21, 2022 Why Should I Trust You?: Explaining the Predictions of Any Classifier Jihwan Kim
Feb 14, 2022 Policy Gradient Methods for Reinforcement Learning with Function Approximation Jihyeong Jeon
Jan 24, 2022 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Junghun Kim
Jan 17, 2022 Mixture Density Networks Hoyoung Yoon
Jan 10, 2022 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Jaeri Lee