
Signed Graph Diffusion Network
Given a signed social graph, how can we learn appropriate node represent...
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TGAP: Learning to Walk across Time for Temporal Knowledge Graph Completion
Temporal knowledge graphs (TKGs) inherently reflect the transient nature...
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TimeAware Tensor Decomposition for Missing Entry Prediction
Given a timeevolving tensor with missing entries, how can we effectivel...
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PeaKD: Parameterefficient and Accurate Knowledge Distillation
How can we efficiently compress a model while maintaining its performanc...
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AUBER: Automated BERT Regularization
How can we effectively regularize BERT? Although BERT proves its effecti...
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Ensemble MultiSource Domain Adaptation with Pseudolabels
Given multiple source datasets with labels, how can we train a target mo...
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Fast Partial Fourier Transform
Given a time series vector, how can we efficiently compute a specified p...
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How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains
Given a set of source data with pretrained classification models, how c...
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FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN
How can we efficiently compress Convolutional Neural Networks (CNN) whil...
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Data Context Adaptation for Accurate Recommendation with Additional Information
Given a sparse rating matrix and an auxiliary matrix of users or items, ...
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ZoomSVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range
Given multiple time series data, how can we efficiently find latent patt...
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TRSVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition
Given multiple time series data, how can we efficiently find latent patt...
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Efficient Learning of BoundedTreewidth Bayesian Networks from Complete and Incomplete Data Sets
Learning a Bayesian networks with bounded treewidth is important for red...
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UniWalk: Explainable and Accurate Recommendation for Rating and Network Data
How can we leverage social network data and observed ratings to correctl...
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Scalable Tucker Factorization for Sparse Tensors  Algorithms and Discoveries
Given sparse multidimensional data (e.g., (user, movie, time; rating) f...
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PMV: Prepartitioned Generalized MatrixVector Multiplication for Scalable Graph Mining
How can we analyze enormous networks including the Web and social networ...
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A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems
Between matrix factorization or Random Walk with Restart (RWR), which me...
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Fast, Accurate, and Scalable Method for Sparse Coupled MatrixTensor Factorization
How can we capture the hidden properties from a tensor and a matrix data...
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U Kang
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