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 Monday, 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 (xuhuiwen33@gmail.com)

During the seminar, free pizza is provided to participants.


2022

Date Title Speaker
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

2021

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