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 |
|---|---|---|
| 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 |
| Date | Title | Speaker |
|---|---|---|
| Dec 29, 2020 | Neural Architecture Optimization | Hoyoung Yoon |
| Dec 22, 2020 | Deep Neural Networks for YouTube Recommendations | Jiyun Kim |
| Dec 8, 2020 | Mastering the game of Go with deep neural networks and tree search | Jihyeong Jeon |
| Dec 1, 2020 | Unsupervised Visual Representation Learning by Context Prediction | Junghoon Kim |
| 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 | Yong-chan 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 |