About DMLAB @ SSU

Welcome to Data Mining Laboratory in School of Software at Soongsil University!

Our research group focuses on data mining, recommender systems, and personalized machine learning and search, with particular emphasis on graph-based methods and language models. We develop effective and scalable algorithms for analyzing real-world data, with a central interest in modeling relationships among entities (e.g., users, items, documents) in complex datasets. Our research enables practical applications in personalized recommendation, information retrieval, and knowledge discovery.

Welcome to Data Mining Laboratory in School of Software at Soongsil University!

Our research group focuses on data mining, recommender systems, and personalized machine learning and search, with particular emphasis on graph-based methods and language models. We develop effective and scalable algorithms for analyzing real-world data, with a central interest in modeling relationships among entities (e.g., users, items, documents) in complex datasets. Our research enables practical applications in personalized recommendation, information retrieval, and knowledge discovery.

Announcement

Join Our Lab! We are recruiting students interested in data mining, recommender systems, personalized machine learning, and information retrieval. If you are interested, please contact jinhong@ssu.ac.kr.
We are recruiting students interested in data mining, recommender systems, personalized machine learning, and information retrieval. If you are interested, please contact jinhong@ssu.ac.kr.

News

Paper Our work on SSL for signed graphs has been accepted at ICDM 2025
Aug 28, 2025
Aug 28, 2025 Paper
Our work on SSL for signed graphs has been accepted at ICDM 2025
Award Our survey on multi-behavior RecSys received PAKDD Best Survey Paper Award
Jun 12, 2025
Jun 12, 2025 Award
Our survey on multi-behavior RecSys received PAKDD Best Survey Paper Award
Paper Our work on lightweight signed bipartite GNNs has been accepted at Neural Networks
Jun 3, 2025
Jun 3, 2025 Paper
Our work on lightweight signed bipartite GNNs has been accepted at Neural Networks
Paper Our work on lightweight tensor compression has been accepted at KAIS
May 24, 2025
May 24, 2025 Paper
Our work on lightweight tensor compression has been accepted at KAIS
Paper Two papers have been accepted at PAKDD 2025
Feb 09, 2025
Feb 09, 2025 Paper
Two papers have been accepted at PAKDD 2025
Award Gyeongmin and Minseo won Best Paper Award at KSC 2024
Dec 19, 2024
Dec 19, 2024 Award
Gyeongmin and Minseo won Best Paper Award at KSC 2024
Award Junwoo and Cheolhee won Best Paper Award (Silver) at KDBC 2024
Nov 1, 2024
Nov 1, 2024 Award
Junwoo and Cheolhee won Best Paper Award (Silver) at KDBC 2024
Award Daewon, Jaehyun, and Jongyoon won Encouragement Award at 2024 ETRI Self-Improving AI Competition
Oct 17, 2024
Oct 17, 2024 Award
Daewon, Jaehyun, and Jongyoon won Encouragement Award at 2024 ETRI Self-Improving AI Competition
Paper Our work on lossy tensor compression has been accepted at KAIS
Sep 24, 2024
Sep 24, 2024 Paper
Our work on lossy tensor compression has been accepted at KAIS
Paper Our work on compact tensor compression has been accepted at ICDM 2024
Sep 6, 2024
Sep 6, 2024 Paper
Our work on compact tensor compression has been accepted at ICDM 2024
Paper Our work on multi-behavior recommendation has been accepted at CIKM 2024
July 16, 2024
July 16, 2024 Paper
Our work on multi-behavior recommendation has been accepted at CIKM 2024
Paper Our work on compact irregular tensor compression has been accepted at KDD 2024
May 17, 2024
May 17, 2024 Paper
Our work on compact irregular tensor compression has been accepted at KDD 2024
Paper Our work on learning signed graphs has been accepted for the publication of InfoSci
Mar 2, 2024
Mar 2, 2024 Paper
Our work on learning signed graphs has been accepted for the publication of InfoSci
Award Our work on tensor compression received the IEEE ICDM Best Student Paper Runner-up Award
Dec 13, 2023
Dec 13, 2023 Award
Our work on tensor compression received the IEEE ICDM Best Student Paper Runner-up Award
Paper Our work on hypergraph RWR has been accepted for the Journal Track of ECML-PKDD
Nov 24, 2023
Nov 24, 2023 Paper
Our work on hypergraph RWR has been accepted for the Journal Track of ECML-PKDD
Award Our work is selected as one of the best-ranked papers of ICDM 2023
Nov 15, 2023
Nov 15, 2023 Award
Our work is selected as one of the best-ranked papers of ICDM 2023
Paper Our work on compact lossy tensor compression has been accepted at ICDM 2023
Sep 3, 2023
Sep 3, 2023 Paper
Our work on compact lossy tensor compression has been accepted at ICDM 2023

Contact Information

Phone +82–02–820–0909
Phone +82–02–820–0909
E-mail jinhong (at) ssu.ac.kr
E-mail jinhong (at) ssu.ac.kr
Adress Room 225, Information Science Building, 50, Sadang-ro, Dongjak-gu, Seoul
Adress Room 225, Information Science Building, 50, Sadang-ro, Dongjak-gu, Seoul