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 |
|---|---|---|
| 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 |
| Date | Title | Speaker |
|---|---|---|
| Dec 20, 2021 | Hierarchical Attention Networks for Document Classification | Vladimir Egay |
| Dec 6, 2021 | Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System | Hyunsik Jeon |
| Nov 29, 2021 | Learning Efficient Convolutional Networks through Network Slimming | Hyojin Jeon |
| Nov 15, 2021 | Graph Contrastive Learning with Augmentations | Sooyeon Shim |
| Nov 8, 2021 | FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems | Jongjin Kim |
| Nov 1, 2021 | Accurate Graph-Based PU Learning without Class Prior | Jaemin Yoo |
| Oct 18, 2021 | Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States | Jaemin Park |
| Sep 27, 2021 | Learning Intrinsic Sparse Structures within Long Short-Term Memory | Seungcheol Park |
| Sep 13, 2021 | LEEP: A New Measure to Evaluate Transferability of Learned Representations | Huiwen Xu |
| Aug 30, 2021 | Stock Movement Prediction from Tweets and Historical Prices | Yejun Soun |
| Aug 9, 2021 | Fast and Accurate Partial Fourier Transform for Time Series Data | Yong-chan Park |
| Aug 2, 2021 | Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries | Jun-gi Jang |
| Jul 26, 2021 | Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts | Jaemin Yoo |
| Jul 19, 2021 | SDGNN: Learning Node Representation for Signed Directed Networks | Junghun Kim |
| Jul 12, 2021 | SGAS: Sequential Greedy Architecture Search | Hoyoung Yoon |
| Jul 5, 2021 | Neural Collaborative Filtering | Jiyun Kim |
| Jun 28, 2021 | GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking | Tairen Piao |
| Jun 21, 2021 | Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments | Jihyeong Jeon |
| May 31, 2021 | Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network | Hyunsik Jeon |
| May 24, 2021 | Learning Low-Rank Structured Sparsity in Recurrent Neural Networks | Hyojin Jeon |
| May 17, 2021 | Stock price prediction using reinforcement learning | Jaemin Park |
| May 3, 2021 | Online dating recommender systems: the split-complex number approach | Jongjin Kim |
| Apr 26, 2021 | Inductive Representation Learning on Large Graphs | Sooyeon Shim |
| Apr 19, 2021 | ALP-KD: Attention-Based Layer Projection for Knowledge Distillation | Ikhyun Cho |
| Apr 12, 2021 | Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting | Jaemin Yoo |
| Apr 5, 2021 | REL: An Entity Linker Standing on the Shoulders of Giants | Vladimir Egay |
| Mar 29, 2021 | Neural Collaborative Filtering vs. Matrix Factorization Revisited | Jun-gi Jang |
| Mar 22, 2021 | DARTS: Differentiable Architecture Search | Seungcheol Park |
| Mar 8, 2021 | The Emerging Field of Signal Processing on Graphs | Yong-chan Park |
| Feb 23, 2021 | Simple and Deep Graph Convolutional Networks | Junghun Kim |
| Feb 16, 2021 | Reciprocal recommendation system for online dating | Seyun Kim |
| Feb 2, 2021 | CompRess: Self-Supervised Learning by Compressing Representations | Huiwen Xu |
| Jan 26, 2021 | A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction | Minyong Cho |
| Jan 19, 2021 | Tensor Decompositions for Temporal Knowledge Base Completion | Dawon Ahn |
| Jan 5, 2021 | Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction | Yejun Soun |