News
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[Oct. 2024] 3 papers accepted to BigData 2024, a top tier data mining conference.
3 papers from Data Mining Lab are accepted to BigData 2024, a top tier data mining conference. Congratulations!
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[Oct. 2024] A paper accepted to WSDM 2025, a top tier data mining conference.
A paper is accepted to WSDM 2025, a top tier data mining conference. The paper "Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users " proposed a reranking method that diversifies the recommendation results based on items' potential exposure opportunities.
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[Sep. 2024] Minjun Kim won Youlchon AI Research Fellowship
M.S./Ph.D. student Minjun Kim won Youlchon AI Research Fellowship in the area of Artificial Intelligence. Youlchon AI Research Fellowship is given to outstanding graduate students doing exceptional work in AI. Congratulations!
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[Jul. 2024] A paper accepted to CIKM 2024, a top tier data mining conference.
A paper is accepted to CIKM 2024, a top tier data mining conference. The paper "Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors" proposed REPEAT, a fast and accurate PARAFAC2 decomposition method for handling arbitrary time range queries on irregular tensors.
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[Jun. 2024] A paper accepted to Interspeech 2024, a top tier speech and language processing conference.
A paper accepted to Interspeech 2024, a top tier speech and language processing conference. The paper "Domain-Aware Data Selection for Speech Classification via Meta-Reweighting" proposed DoReMe, a data selection method for accurate speech classification on a target domain.
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[May. 2024] 3 papers accepted to KDD 2024, the world-best data science and AI conference.
3 papers from Data Mining Lab are accepted to KDD 2024, the world-best data science and AI conference. Congratulations!
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[Feb. 2024] A paper accepted to PAKDD 2024, a top tier data mining conference.
A paper is accepted to PAKDD 2024, a top tier data mining conference. The paper “Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-based Curriculum Learning” proposed an accurate semi-supervised automatic speech recognition framework utilizing multiple hypotheses of speech instances and curriculum learning to consider uncertainty of pseudo labels and improve speech recognition performance.
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[Jan. 2024] A paper accepted to The Web Conference 2024, a top tier data mining conference.
A paper is accepted to The Web Conference 2024, a top tier data mining conference. The paper "Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating" proposed COHEAT, an accurate method for cold-start bundle recommendation.
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[Jan. 2024] A paper accepted to ICLR 2024, a top tier AI conference.
A paper is accepted to ICLR 2024, a top tier AI conference. The paper “Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models” proposed Kprune, an accurate retraining-free structured pruning algorithm for pretrained encoder-based language models.
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[Nov. 2023] Huiwen Xu won the grand prize at the 15th Electronic Newspaper ICT Thesis Contest
Ph.D. student Huiwen Xu won the grand prize at the 15th Electronic Newspaper ICT Thesis Contest. The grand prize of the Electronic Newspaper ICT Thesis Contest is awarded to a student who has conducted excellent research related to ICT. Congratulations!
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[Aug. 2023] Hyunsik Jeon won Best Ph.D. Thesis Award
Ph.D. student Hyunsik Jeon won Best Ph.D. Thesis Award. Best Ph.D. Thesis Award is given to excellent student in the Department of Computer Science and Engineering at Seoul National University. Congratulations!
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[Aug. 2023] SeungCheol Park won Youlchon AI Star Fellowship
M.S./Ph.D. student SeungCheol Park won Youlchon AI Star Fellowship in the area of Artificial Intelligence. Youlchon AI Star Fellowship Program is given to outstanding graduate students doing exceptional work in AI. Congratulations!
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[May. 2023] Hyunsik Jeon won Sejong Science Fellowship for Postdoctoral Research
Ph.D. student Hyunsik Jeon won Sejong Science Fellowship for Postdoctoral Research. Sejong Science Fellowship for Postdoctoral Research is given to excellent students doing exceptional work in their field. Congratulations!
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[May. 2023] Jun-Gi Jang won Postdoctoral Research Award from NRF
Postdoctoral Researcher Jun-Gi Jang won Postdoctoral Research Award from NRF. The Postdoctoral Research Award is a prize awarded by The National Research Foundation to postdoctoral researchers who have achieved outstanding research results in their field. Congratulations!
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[Mar. 2023] Yong-chan Park won SNU BK21 Star Student Researcher Fellowship
M.S./Ph.D. student Yong-chan Park won SNU BK21 Star Student Researcher Fellowship. SNU BK21 Star Student Researcher Fellowship is given to outstanding graduate students doing exceptional work in their field. Congratulations!
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[Feb. 2023] 2 students in DM lab won the Best Thesis Award
M.S./Ph.D. student Jun-Gi Jang won the Best Ph.D. Thesis Award. M.S. student Hyojin Jeon also won the Best M.S. Thesis Award. Best Thesis Award is given to outstanding student in the Department of Computer Science and Engineering at Seoul National University. Congratulations!
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[Oct. 2022] Professor U Kang won the Shinyang Engineering Academic Award
Professor U Kang won the Shinyang Engineering Academic Award. The Shinyang Engineering Academic Award is given to professors with outstanding achievements among young professors under the age of 49 who are promoted to full and associate professors at Seoul National University's engineering school. Congratulations!
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[Aug. 2022] Hyunsik Jeon won CIKM 2022 Travel Award
Ph.D. student Hyunsik Jeon won CIKM 2022 Travel Award for his conference registration. Hyunsik will present his paper "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" in CIKM 2022. Congratulations!
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[Aug. 2022] A paper accepted to CIKM 2022, a top tier data mining conference.
The paper "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" is accepted to CIKM 2022, a top tier data mining conference. The paper proposed a SmartSense, an accurate action recommendation method for smart home.
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[Aug. 2022] A paper accepted to KDD 2022, the world-best data science and AI conference.
The paper "Accurate Node Feature Estimation with Structured Variational Graph Autoencoder" is accepted to KDD 2022, the world-best data science and AI conference. The paper proposed a SVGA (Structured Variational Graph Autoencoder), an accurate method for feature estimation.
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[May. 2022] Jun-gi Jang won ICDE 2022 best paper award (honorable mention)
Jun-gi Jang won the Best Paper Award from ICDE 2022, a top tier database conference. Congratulations!
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[May. 2022] A paper accepted to ICDE 2022, a top tier database conference.
The paper "DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors" is accepted to ICDE 2022, a top tier database conference. The paper proposed DPar2, a fast and scalable PARAFAC2 decomposition method for irregular dense tensors.
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[Apr. 2022] 2 papers accepted to The Web Conference 2022, a top tier data mining conference.
2 research papers are accepted to The Web Conference 2022, a top tier data mining conference. The paper "Model-Agnostic Augmentation for Accurate Graph Classification" proposed NodeSam(Node Split and Merge) and SubMix(Subgraph Mix), two model-agnostic approaches for graph augmentation. The paper "MiDaS: Representative Sampling from Real-world Hypergraphs" proposed MiDaS, which draws hyperedges with a bias towards those with high-degree nodes.
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[Feb. 2022] Jaemin Yoo won Best Ph.D. Thesis Award
M.S./Ph.D. student Jaemin Yoo won Best Ph.D. Thesis Award. Best Ph.D. Thesis Award is given to excellent student in the Department of Computer Science and Engineering at Seoul National University. Congratulations!
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[Feb. 2022] Jun-gi Jang won Future Gauss Lecture Award
M.S./Ph.D. student Jun-gi Jang won Future Gauss Lecture Award for his work "Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries". Future Gauss Lecture Award is given to outstanding students doing exceptional work in the field of industrial artificial intelligence. Congratulations!
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[Jan. 2022] Jun-gi Jang won BK21 Best Graduate Student Award
M.S./Ph.D. student Jun-gi Jang won BK21 Best Graduate Student Award. BK21 Best Graduate Student Award is given to excellent graduate students doing exceptional work in their field. Congratulations!
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[Dec. 2021] Jun-gi Jang won Naver Ph.D. Fellowship
M.S./Ph.D. student Jun-gi Jang won Naver Ph.D. Fellowship, for his researches on tensor analysis. Naver Ph.D. Fellowship is given to top students in the computer science area. Congratulations!
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[Nov. 2021] Jun-gi Jang won Qualcomm Innovation Fellowship Korea
M.S./Ph.D. student Jun-gi Jang won Qualcomm Innovation Fellowship Korea for his work "Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries". Qualcomm Innovation Fellowship Korea is given to outstanding graduate students doing exceptional work in the field of artificial intelligence. Congratulations!
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[Aug. 2021] A paper accepted to ICDM 2021, a top tier data mining conference.
The paper "Accurate Graph-Based PU Learning without Class Prior" is accepted to ICDM 2021, a top tier data mining conference. This paper proposed a supervised and scalable algorithm based on Loopy belief propagation to solve a node classification problem on edge-attributed networks.
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[Aug. 2021] Jun-gi Jang won Youlchon AI Star Fellowship
M.S./Ph.D. student Jun-gi Jang won Youlchon AI Star Fellowship in the area of Artificial Intelligence. Youlchon AI Star Fellowship Program is given to outstanding graduate students doing exceptional work in AI. Congratulations!
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[Aug. 2021] Jun-gi Jang won the Best Paper Award from KDD 2021
Jun-gi Jang won the Best Paper Award from KDD 2021, the world-best data science and AI conference. Congratulations!
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[May. 2021] 4 papers accepted in KDD 2021
4 papers from Data Mining Lab are accepted in KDD 2021, the world-best data science and AI conference. Congratulations!
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[May. 2021] Jaemin Yoo won the Best Poster Award at AIIS Retreat 2021
M.S./Ph.D. student Jaemin Yoo won the Best Poster Award at AIIS Retreat 2021. The Best Poster Award is given to the students who presented the best poster through voting. Congratulations!
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[Apr. 2021] Jongjin Kim won SNU BK21 Top Talent Fellowship
M.S./Ph.D. student Jongjin Kim won SNU BK21 Top Talent Fellowship. SNU BK21 Top Talent Fellowship is given to only two outstanding graduate freshmen studying at Computer Science and Engineering Department, Seoul National University. Congratulations!
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[Apr. 2021] Jaemin Yoo won SDM 2021 Travel Award
M.S./Ph.D. student Jaemin Yoo won SDM 2021 Travel Award for his conference registration. Jaemin will present his paper "Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting" in SDM 2021. Congratulations!
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[Dec. 2020] A paper accepted to SDM 2021, a top tier data mining conference
The paper “Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting” is accepted to SDM 2021, a top tier data mining conference. The paper proposed an autoregression model that learns an attention map between variables for accurate forecasting.
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[Dec. 2020] Jaemin Yoo won Qualcomm Innovation Fellowship Korea
M.S./Ph.D student Jaemin Yoo won Qualcomm Innovation Fellowship Korea for his work "Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference" and "Knowledge Extraction with No Observable Data." Qualcomm Innovation Fellowship Korea is given to outstanding graduate students doing exceptional work in the field of artificial intelligence. Congratulations!
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[Sep. 2020] Hyunsik Jeon, Seungcheol Park and Yuna Bae won MIND News Recommendation Competition
Ph.D. student Hyunsik Jeon, M.S./Ph.D. student Seungcheol Park, and Undergrad intern Yuna Bae won the 2nd prize at MIND News Recommendation Competition which is sponsored by Microsoft News and Microsoft Research Asia teams. It is a global competition based on MIND dataset, which is a large-scale English dataset for news recommendation. Congratulations!
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[Aug. 2020] Jaemin Yoo won Youlchon AI Star Fellowship
M.S./Ph.D. student Jaemin Yoo won Youlchon AI Star Fellowship in the area of Artificial Intelligence. Youlchon AI Star Fellowship Program is given to outstanding graduate students doing exceptional work in AI. Congratulations!
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[May 2020] Bonhun Koo and Hyunsik Jeon won Best Student Paper Award from Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020)
Bonhun Koo and Hyunsik Jeon won Best Student Paper Award from Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), a top tier data mining conference. Congratulations!
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[Feb 2020] A paper accepted to ICDE 2020, a top tier data mining conference.
The paper "D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors." is accepted to ICDE 2020, a top tier data mining conference. The paper proposed a fast and memory-efficient tucker decomposition for dense tensors.
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[Jan 2020] Ph.D. student Hyunsik Jeon in DM Lab. won HumanTech Award.
Ph.D. student Hyunsik Jeon won the HumanTech award (honorable mention, 4th in Computer Science), from his paper "Data Context Adaptation for Accurate Recommendation with Additional Information". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Jan. 2020] A paper accepted to PAKDD 2020, a top tier data mining conference.
A paper is accepted to PAKDD 2020, a top tier data mining conference. The paper “Accurate News Recommendation Coalescing Personal and Global Temporal Preferences” proposed a news recommender system utilizing both personal and global temporal preferences to provide an accurate recommendation.
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[Dec. 2019] Seungcheol Park won Google Travel Award
M.S./Ph.D. student Seungcheol Park won Google Travel Award for his IROS 2019 conference trip. Google Travel Award is given to a selected primary author of a paper in a top-tier conference in Computer Science. Seungcheol presented his paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LIDAR Point Clouds with Real Time Performance" in IROS 2019. Congratulations!
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[Nov. 2019] Hyunsik Jeon won BigData 2019 Travel Award
Ph.D. student Hyunsik Jeon won BigData 2019 travel award for his conference trip. Hyunsik Jeon will present his paper “Data Context Adaptation for Accurate Recommendation with Additional Information” in BigData 2019 Conference.
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[Nov. 2019] A paper accepted to EDBT 2020, a top tier database conference.
A paper is accepted to EDBT 2020, a top tier database conference. The paper "BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks" proposed a scalable and fully parallelizable method for generating large-scale signed networks following realistic properties.
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[Oct. 2019] A paper accepted to WSDM 2020, a top tier data mining conference.
A paper is accepted to WSDM 2020, a top tier data mining conference. The paper “Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference” proposed a graph sampling method that generates bounded-treewidth subgraphs for efficient belief propagation.
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[Oct. 2019] A paper accepted to BigData 2019, a top tier data mining conference.
A paper is accepted to BigData 2019, a top tier data mining conference. The paper “Data Context Adaptation for Accurate Recommendation with Additional Information” proposed a neural network based algorithm for recommendation that factorizes a rating matrix and an auxiliary matrix.
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[Sep. 2019] Jaemin Yoo won Google PhD Fellowship
M.S./Ph.D. student Jaemin Yoo won Google PhD Fellowship in the area of Machine Learning. Google PhD Fellowship Program is given to outstanding graduate students doing exceptional work in computer science and related research areas. Congratulations!
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[Sep. 2019] A paper accepted to NeurIPS 2019, a top tier AI conference.
A paper is accepted to NIPS 2019, a top tier AI conference. The paper “Knowledge Extraction with No Observable Data” proposed a GAN-based neural architecture that generates artificial data from a trained teacher model when no real data are observable.
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[Aug 2019] Chun Quan won Master's Dissertation Excellence Award.
M.S. student Chun Quan won the Master's Dissertation Excellence Award. Master's Dissertation Excellence Award is given to excellent Master's dissertation in the Department of Computer Science and Engineering at Seoul National University. Congratulations!
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[June 2019] A paper accepted to IROS 2019, a top tier robotics and AI conference.
A paper is accepted to IROS 2019, a top tier robotics and AI conference. The paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" proposed an algorithm which solves segmentation problem of 3D LiDAR point cloud by separating 3D space into curved-voxels.
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[May 2019] A paper accepted to IJCAI 2019, a top tier artificial intelligence conference.
A paper is accepted to IJCAI 2019, a top tier artificial intelligence conference. The paper "Belief Propagation Network for Hard Inductive Semi-supervised Learning" proposed an algorithm which solves the semi-supervised classification for test instances containing no context information.
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[Jan 2019] M.S/Ph.D. student Jaemin Yoo in DM Lab. won HumanTech Award.
M.S/Ph.D. student Jaemin Yoo won the HumanTech award (honorable mention, 4th in Computer Science), from his paper "Efficient Sampling of Subgraphs with Bounded Treewidth for Fast and Accurate Graphical Inference". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Jan 2019] Postdoctoral researcher Ha-Myung Park will join Kookmin University as an Assistant Professor
Postdoctoral researcher Ha-Myung Park will join Kookmin University as an Assistant Professor, starting from March 1st, 2019. Congraturations!
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[Nov 2018] Prof. Kang won the Most Impacted Paper Award (10-year highest impact paper award) from IEEE International Conference on Data Mining (ICDM).
Prof. Kang won the Most Impacted Paper Award (10-year highest impact paper award) from IEEE International Conference on Data Mining (ICDM). The award is given to the highest impacted paper in the area of Data Mining for the last 10 years. Congratulations!
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[Aug 2018] A paper accepted to CIKM 2018, a top tier data mining conference.
A paper is accepted to CIKM 2018, a top tier data mining conference. The paper "Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range" proposed an algorithm which extracts key patterns of multiple time series data in an arbitrary time range.
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[Jun 2018] Jinhong Jung won BK21 Plus Excellent Research Award.
Ph.D. student Jinhong Jung won the BK21 Plus Excellent Research Award. BK21 Plus Excellent Research Award is given to excellent graduate students in the Engineering area. Congratulations!
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[Jan 2018] 2 students in DM Lab. won HumanTech Award.
B.S. student Sejoon Oh won the HumanTech award (gold, 1st in Computer Science) from Samsung, from his paper "Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries". M.S/Ph.D. student Jun-gi Jang also won the Humantech award (honorable mention, 4th in Computer Science), from his paper "Fast and Memory-Efficient Method for Time Ranged Singular Value Decomposition". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Dec 2017] 2 papers accepted to ICDE 2018, a top tier database conference.
2 papers are accepted to ICDE 2018, a top tier database conference. The paper "TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs" proposed an algorithm which computes RWR scores approximately exploiting PageRank and block-wise structure of real-world graphs. The paper "Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries" proposed a scalable Tucker factorization method for sparse tensors, which updates factor matrices in a row-wise manner.
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[Dec 2017] 2 papers accepted to The Web Conference 2018, a top tier data mining conference.
2 research track papers are accepted to The Web Conference 2018, a top tier data mining conference. The paper "SIDE: Representation Learning in Signed Directed Networks" proposed a network embedding algorithm for signed directed networks. The paper "Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees" proposed an algorithm computing Random Walk with Restart efficiently on dynamic graphs.
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[Nov 2017] A paper accepted to AAAI 2018, a top tier artificial intelligence conference.
The demo paper "PegasusN: A Scalable and Versatile Graph Mining System" is accepted to AAAI 2018, a top tier artificial intelligence conference. The paper proposed PegasusN that provides and seamlessly integrates scalable algorithms for various graph mining operations: graph structure analysis, subgraph enumeration, graph generation, and graph visualization.
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[Oct 2017] Jaemin Yoo won Google Travel Award
Ph.D. student Jaemin Yoo won Google Travel Award for his ICDM 2017 conference trip. Google Travel Award is given to a selected primary author of a paper in a top-tier conference in Computer Science. Jaemin will present his paper "Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks" in ICDM 2017. Congratulations!
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[Oct 2017] A paper accepted to BigData 2017, a top tier data mining conference.
The paper "A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems" is accepted to BigData 2017, a top tier data mining conference. The paper compares matrix factorization and random walk with restart in four recommendation scenarios providing intuition on the meaning of the results.
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[Aug 2017] A paper accepted to ICDM 2017, a top tier data mining conference.
The paper "Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks" is accepted to ICDM 2017, a top tier data mining conference. This paper proposed a supervised and scalable algorithm based on Loopy belief propagation to solve a node classification problem on edge-attributed networks.
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[Jan 2017] 2 students in DM Lab. won HumanTech Award.
Ph.D. student Jinhong Jung won the HumanTech award (silver, 2nd in Computer Science) from Samsung, from his paper "BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart". B.S. student Jungwoo Lee also won the Humantech award (bronze, 3rd in Computer Science), from his paper "CTD: Compact Tensor Decomposition for Multi-way Data". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Jan 2017] A paper accepted to ICDE 2017, a top tier database conference.
The paper "Fast and Scalable Distributed Boolean Tensor Factorization" is accepted to ICDE 2017, a top tier database conference. The paper proposed a distributed algorithm that performs Boolean tensor factorization in a fast and scalable manner by utilizing caching and minimizing data shuffling.
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[Dec 2016] Prof. Kang's interview is published in a news article.
College of Engineering in Seoul National University selected the 'Seven Technologies to Lead the Future' on the 70th anniversary of foundation. Prof. U Kang introduced Amazon's recommendation system and delivery forecasting system to explain Big Data Technology, one of the seven selected technologies, and predicted the future of real-time big data analysis and forecasting technology.
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[Dec 2016] Prof. Kang won the 1st Young Information Scientist Award from Korean Institute of Information Scientists and Engineers.
Prof. Kang won the 1st Young Information Scientist Award from Korean Institute of Information Scientists and Engineers. The award is given to the best Korean Scientist under 40 in the area of Computer Science, and is given to only one person per year. Prof. Kang is the first recipeint of the award. Congratulations!
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[Nov 2016] A paper accepted to SIGMOD 2017, a top tier database conference.
The paper "BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart" is accepted to SIGMOD 2017, a top tier database conference. The paper is on fast and memory-efficient RWR computation in very large graphs exploiting characteristics of real-world graphs.
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[Nov 2016] Ha-Myung Park won Google Travel Award
Ph.D. student Ha-Myung Park won Google Travel Award for his ICDM 2016 conference trip to Barcelona, Spain. Google Travel Award is given to a selected primary author of a paper in a top-tier conference in Computer Science. Ha-Myung will present his paper "Partition Aware Connected Component Computation in Distributed Systems" in ICDM 2016. Congratulations!
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[Sep 2016] 2 papers accepted to ICDM 2016, a top tier data mining conference.
2 research track papers are accepted to ICDM 2016, a top tier data mining conference. The paper "Partition Aware Connected Component Computation in Distributed Systems" proposed an algorithm which computes connected components of large scale graphs using distributed systems. The other paper "Personalized Ranking in Signed Networks using Signed Random Walk with Restart" proposed a novel ranking model, signed random walk with restart, which provides personalized rankings in signed networks.
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[July 2016] Jinhong Jung won Global Ph.D. fellowship.
Ph.D. student Jinhong Jung won the global Ph.D. fellowship from National Research Foundation of Korea. The global Ph.D. fellowship is a national service which National Research Foundation of Korea and Korea Ministry of Education support for developing world-class doctors. It selects Ph.D. students nationally and funds school and living expenses of the selected students during 3 years. Jinhong Jung will do a research on "Fast Ranking in Large-scale Graphs via Link Analysis" through the global Ph.D. fellowship. Congratulations!
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[May 2016] A paper accepted to KDD 2016, a top tier data mining conference.
The paper "PTE: Enumerating Trillion Triangles On Distributed System" is accepted to KDD 2016, a top tier data mining conference. The paper is on efficient triangle enumeration using multiple distributed machines.
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[Apr 2016] Jinhong Jung won Naver Ph.D. fellowship.
Ph.D. student Jinhong Jung won the Naver Ph.D. Fellowship, for his researches on large scale graph mining. Naver Ph.D. Fellowship is given to top students in the Computer Science area. Congratulations!
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[Jan 2016] Ha-Myung Park won HumanTech Award.
Ph.D. student Ha-Myung Park won the HumanTech award (silver, 2nd in Computer Science) from Samsung, from his paper "Pararllel Triangle Enumeration on Distributed Systems". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Dec 2015] A paper accepted to ICDE 2016, a top tier database conference.
The paper "Scout: Scalable Coupled Matrix-Tensor Factorization-Algorithms and Discoveries" is accepted to ICDE 2016, a top tier database conference. The paper is on scaling up coupled matrix-tensor factorization on MapReduce.
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[Sep 2015] A paper accepted to ICDM 2015, a top tier data mining conference.
The demo paper "TeGViz: Distributed Tera-Scale Graph Generation and Visualization" is accepted to ICDM 2015, a top tier data mining conference. The paper proposes a distributed graph generator which can generate billion-scale graphs within a minute.
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[May 2015] A paper accepted to KDD 2015, a top tier data mining conference.
The paper "MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams" is accepted to KDD 2015, a top tier data mining conference. The paper is on efficient triangle counting in high speed graph stream.
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[Jan 2015] A paper accepted to SIGMOD 2015; two students won SIGMOD 2015 travel award.
The paper "BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs" is accepted to SIGMOD 2015, a top tier data mining conference. Two student authors of the paper, Mr. Kijung Shin and Mr. Jinhong Jung, won SIGMOD 2015 travel award. Congratulations!
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[Jan 2015] Our multi-dimensional big data analysis system receives wide media coverage.
The research for multi-dimensional big data analysis system receives wide media coverage (YONHAP NEWS Agency). The system utilizes distributed machines to analyze 10 to 100 times larger data compared to existing systems. The research will be presented in ICDE 2015, a top tier database conference.
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[Jan 2015] 3 DML students won HumanTech Award.
Kijung Shin and Jinhong Jung won the HumanTech award (gold, 1st in Computer Science) from Samsung, from his paper "BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs". Ms. student Mr. Ho Lee also won the HumanTech award (honorable mention, 6th in Computer Science area), from his paper "Fast Graph Mining with HBase". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
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[Oct 2014] A paper accepted to ICDE 2015, a top tier database conference.
The paper "HaTen2: Billion-scale Tensor Decompositions" is accepted to ICDE 2015, a top tier database conference. The paper is on scaling up two important tensor decomposition methods, Tucker and PARAFAC, on MapReduce.
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[Sep 2014] 2 papers accepted to ICDM 2014, a top tier data mining conference.
A research track paper and a demo paper are accepted to ICDM 2014, a top tier data mining conference. The research track paper "Distributed Methods for High-dimensional and Large-scale Tensor Factorization" proposed efficient distributed algorithms for large scale tensor factorization which can be used for recommendation. The demo track paper "Eventera: Real-time Event Recommendation System from Massive Heterogeneous Online Media" demonstrates a real-time event recommendation system.
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[Aug 2014] 3 regular papers accepted to CIKM 2014, a top tier data mining conference.
3 regular papers are accepted to CIKM 2014, a top tier data mining conference.
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[Feb 2014] Ha-Myung Park won the HumanTech Award.
Ph.D. student Ha-Myung Park won the HumanTech award (bronze) from Samsung. His paper is titled "An Efficient MapReduce Algorithm for Triangulation in a Very Large Graph" and it proposed an efficient MapReduce algorithm for finding triangles in large graphs.
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[Jan 2014] Yongsub Lim won the grant award from "Venture Research Program for Graduate and PhD Students".
Ph.D. student Yongsub Lim won the grant award from the "Venture Research Program for Graduate and PhD Students" from KAIST, for his proposal on distributed real time graph stream mining. The grant is highly selective (10 students in KAIST this year), and aimed for providing active support for creative and influential ideas that entail high risk.
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[Sep 2013] Inah Jeon won the 2013 Qualcomm Innovation Award.
MS student Inah Jeon won the 2013 Qualcomm Innovation Award. The award is a fellowship given to high quality papers. Her paper is titled "GigaTensor: Scaling Tensor Analysis Up By 100 Times - Algorithms and Discoveries" and it focused on the tensor analysis for finding patterns and anomalies in billion-scale real-world tensor using Hadoop.
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[Aug 2013] U Kang won the 2013 SIGKDD Doctoral Dissertation Award, Honorable Mention.
Prof. U Kang won Honorable Mention for the 2013 KDD Dissertation Award, which is the highest honor for a data mining thesis. His dissertation is titled "Mining Tera-Scale Graphs: Theory, Engineering and Discoveries" and it focused on the award winning PEGASUS system for finding patterns and anomalies in billion-node graphs using thousands of machines. U received a certificate of recognition during the opening ceremonies at the upcoming KDD Conference in Chicago.