Welcome to SNU MILAB

News

  • 2019.02 - Our papers "문장 레벨 그래프 회선 신경망을 통한 텍스트 분류" and "이미지 물체 위치탐색을 위한 효율적인 크라우드소싱 시스템" are selected as the 우수발표논문상 in KSG 2018.
  • 2019.02 - Our paper "Speech Emotion Recognition Using Multi-Hop Attention Mechanism" is accepted to IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) as oral presentation.
  • 2019.01 - Etnews reported our research result: 서울대,카이스트, '낚시성 기사' 잡아내는 딥러닝 모델 기술 개발
  • 2018.11 - Our paper "Neural networks for compressing and classifying speaker-independent paralinguistic signals" is accepted to IEEE BigComp 2019.
  • 2018.11 - Thanks to past collaborative research activities with Adobe, our lab has been selected for Adobe Research Software Donation Program.
  • 2018.11 - Three papers "Improving Neural Question Generation using Answer Separation", "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder" (with KAIST Data Science lab), "Number Sequence Prediction Problems and Computational Powers of Neural Network Models", are accetped at AAAI 2019!
  • 2018.07 - Our paper "Mobile App Recommendation with Sequential App Usage Behavior Tracking" is accepted to Journal of Internet Technology.
  • 2018.02 - Our paper "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering" is accepted to NAACL 2018.
  • 2017.12 - Our paper "Multi-scale Nystrom Method" is accepted to AISTATS 2018 as oral presentation.
  • 2017.12 - Our research group took 5th place in AI R&D Fake News Challenge.
  • 2017.11 - Our paper "Contextual-CNN: A Novel Architecture Capturing Unified Meaning for Sentence Classification" is accetped to IEEE BigComp 2018.
  • 2017.09 - Our paper "Synonym Discovery with Etymology-based Word Embeddings" is accepted to IEEE SSCI 2017.
  • 2017.05 - Our paper "Hierarchical Ordering with Partial Pairwise Hierarchical Relationships on the Marcaque Brain Data Sets" is accepted to PLOS ONE.
  • 2017.06 - Prof. Jung had an interview with KBS about rumor detection for AI.
  • 2017.06 - Prof. Jung gave interviews to tbs and ebs about our research on rumor detectionin social media.
  • 2016.11 - Our paper "Rumor Detection over Varying Time Windows" is accepted to PLOS ONE.
  • 2016.07 - Our paper "Knowledge extraction through etymological networks: Synonym discovery in sino-korean words" is selected as the best paper of the information technology session in ICIKM 2016.
  • 2016.06 - 한국연구재단 중견연구자지원사업 선정(의료 빅데이터 기반 약물의 미발견 위해정보 검출 기계학습 기법 개발)
  • 2016.06 - Our paper "Knowledge extraction through etymological networks: Synonym discovery in sino-korean words" is accepted to ICIKM 2016.
  • 2016.05 - Our paper "Phase transitions for information diffeusion in random clustered networks" is accepted to European Physical Jounral B.
  • 2016.05 - 서울대학교 공학연구원 한우물로 홈런치기 과제 선정(Learning 기반 한국어 자연어 처리 시스템 및 영-한 기계번역 시스템 개발)
  • 2016.04 - Our paper "Automatic Question Answering System for Consumer Products" is accepted to IntelliSys 2016.
  • 2016.03 - 정교민 교수님 부교수 승진
  • 2016.02 - Prof. Jung gave a talk "Deep learning for Natural Language Processing" at Facebook, Menlo Park, CA, USA.
  • 2015.12 - 정교민 교수님 자연과학대학 수리과학부 겸무교수로 위촉
  • 2015.12 - Our paper "Centrality Fairness: Measuring and Analyzing Structual Inequality of Online Social Network" is accepted to JIT.
  • 2015.08 - 연구실 김정명 학생 석사 우수논문상(Distinguished Dissertation Award) 수상.
  • 2015.05 - Prof. Jung gave a Tutorial Talk "Deep Learning for the Web" at the WWW 2015.
  • 2015.05 - Our paper "Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts" is accepted to UAI 2015 as a plenary presentation.
  • 2015.05 - Our paper "Double Nystrom Method: An Efficient and Accurate Nystrom Scheme for Large-Scale Data Sets" is accepted to ICML 2015.
  • 2015.03 - Our paper "Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems" is accepted to SIGMETRICS 2015.
  • 2014.01 - 트위터 등 SNS에서의 루머를 90% 정도의 정확도로 가려내는 시스템 개발 - KBS1 뉴스라인 대담, 아리랑 TV, tbs eFM 출연