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.
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.
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 |