(March 10, 2025) A project, titled "LLM-driven Chain-of-Thought Analysis for Tabular Data," will be supported by Microsoft Research Asia, and Yehjin Shin will visit Microsoft Research Asia in Beijing for her internship.
(March 6, 2025) Three papers were accepted in Workshops at International Conference on Learning Representations (ICLR) 2025. In total, BigDyL at KAIST has three main conference papers and three workshop papers at ICLR 2025.
(February 5, 2025) One paper was accepted in Results in Applied Mathematics (IF=1.4).
(January 23, 2025) Three papers were accepted in International Conference on Learning Representations (ICLR) 2025.
(December 19, 2024) Two papers were accepted in Workshops at AAAI Conference on Artificial Intelligence (AAAI) 2025. In total, BigDyL at KAIST has one AAAI main conference paper and two AAAI workshop papers.
(December 10, 2024) One paper was accepted in AAAI Conference on Artificial Intelligence (AAAI) 2025.
(October 29, 2024) One paper was published in Advanced Intelligent Systems (IF = 7.4).
(October 24, 2024) One paper was accepted in ACM International Web Search and Data Mining Conference (WSDM) 2025.
(October 11, 2024) 삼성미래기술육성센터로부터 Scientific Foundation Model 연구 제안이 선정 되었습니다. 노벨 화학상의 영예를 안겨준 알파폴드는 인류가 지난 수백 년 간 밝힌 단백질 3차원 구조 보다 훨씬 더 많은 수를 단시간에 밝혔습니다. 또, 노벨 물리학상이 머신러닝의 초창기 생성모델 연구자들에게 돌아간 것은 인공지능과 통계물리학의 깊은 연관성을 보인다고 볼 수 있습니다. 관련하여 아직 해결 되지 못한 문제가 물리/화학/공학/사회과학/경제학 등에서 현상을 설명하는 편미분방정식(나비에-스토크스 방정식, 맥스웰 방정식 등)을 폭 넓고 빠르게 해석하는 것 입니다. 선정된 연구는 이에 도전합니다.
(October 11, 2024) One paper was accepted in NeurIPS 2024 WorkshopFM4Science.
(September 26, 2024) One paper was accepted in Annual Conference on Neural Information Processing Systems (NeurIPS) 2024.
(July 16, 2024) Two papers were accepted in ACM International Conference on Information and Knowledge Management (CIKM) 2024.
(June 29, 2024) Prof. Noseong Park will serve as the General Chair for the 34th ACM International Conference on Information and Knowledge Management (CIKM), a top-tier conference for recommender systems, information retrieval, and big data management, which will be held in South Korea at 2025.
(June 7, 2024) Jinsung Jeon successfully defended his Ph.D. thesis. He will join UCSD for this postdoctoral study. Best wishes for all his future endeavors!
(June 7, 2024) Our paper, titled "Parameterized Physics-informed Neural Networks for Parameterized PDEs," was selected for its oral presentation in ICML 2024. This year the oral acceptance rate is 1.5%.
(May 17, 2024) One paper was accepted in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024.
(May 7, 2024) Prof. Noseong Park will chair the tutorial session of the 18th ACM International Web Search and Data Mining Conference (WSDM).
(May 2, 2024) Four papers were accepted in International Conference on Machine Learning (ICML) 2024.
(April 17, 2024) One paper, titled "SVD-AE: Simple Autoencoders for Collaborative Filtering," was accepted in International Joint Conference on Artificial Intelligence (IJCAI) 2024.
(March 4, 2024) Two papers, titled "Extension of Physics-informed Neural Networks to Solving Parameterized PDEs," and "SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations," were accepted in ICLR Workshop 2024.
(February 1, 2024) BigDyL in WISE moved to the School of Computing in KAIST, Daejeon. Prof. Noseong Park was appointed as a tenured associate professor at KAIST. [학과 공지]
(January 16, 2024) Two papers, titled "PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images," and "Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer," were accepted in International Conference on Learning Representations (ICLR) 2024.
(January 11, 2024) 금융위원회 주관 D-테스트베드 사업에서 임선규 학생이 딥러닝ㆍ머신러닝 활용 금융사기탐지 모델의 최적화 연구로 최우수상(핀테크지원센터 이사장상)을 수상하였습니다. [보도자료]
(December 9, 2023) Two papers, titled "Operator-learning-inspired Modeling of Neural Ordinary Differential Equations," and "An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention," were accepted in AAAI Conference on Artificial Intelligence (AAAI) 2024.
(October 29, 2023) One paper, titled "Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations," was accepted in IEEE International Conference on Big Data (IEEE BigData) 2023.
(October 28, 2023) One paper, titled "HyperNetwork Approximating Future Parameters for Time Series Forecasting under Temporal Drifts," was accepted in NeurIPS Workshop on Distribution Shifts (DistShift) 2023.
(October 20, 2023) One paper, titled "Continuous-time Autoencoders for Regular and Irregular Time Series Imputation," was accepted in ACM International Web Search and Data Mining Conference (WSDM) 2024 for its oral presentation.
(October 7, 2023) 🎉The paper of TableGAN, which is a pioneering work in tabular data synthesis, is now the most cited among all VLDB papers published within the last 5 years.
One paper, titled "Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks," was accepted in Annual Conference on Neural Information Processing Systems (NeurIPS) 2023 for its spotlight presentation. [arXiv&GitHub]
One paper, titled "MadSGM: Multivariate Anomaly Detection with Score-based Generative Models," was accepted in the ACM International Conference on Information and Knowledge Management (CIKM) 2023.
One paper, titled "Precursor-of-Anomaly Detection for Irregular Time Series," was accepted in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023.
Prof. Noseong Park was invited to present GREAD, a recent ICML paper, on June 27th for SEA-CROGS (https://www.pnnl.gov/projects/sea-crogs) where Sandia National Labs and Pacific Northwest National Labs are collaborating to solve scientific problems with deep learning. [Webinar Schedule]
One paper, titled "Self-Attention LSTM-FCN Model for Arrhythmia Classification and Uncertainty Assessment," was accepted in Artificial Intelligence In Medicine (IF=7.011).
Two papers, titled "GREAD: Graph Neural Reaction-Diffusion Networks," and "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis," were accepted in International Conference on Machine Learning (ICML) 2023. [arXiv&GitHub of GREAD] [arXiv&GitHub of CoDi]
One paper, titled "Hawkes Process based on Controlled Differential Equations," was accepted in International Joint Conference on Artificial Intelligence (IJCAI) 2023.
One paper, titled "Blurring-Sharpening Process Models for Collaborative Filtering," was accepted in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023. [arXiv&GitHub]
One paper, titled "Graph Neural Rough Differential Equations for Traffic Forecasting," was conditionally accepted in ACM Transactions on Intelligent Systems and Technology (IF=10.489).
One paper, titled "Fast Adversarial Training with Dynamic Batch-level Attack Control," was accepted in Design Automation Conference (DAC) 2023.
조민주 학생과 국승지 학생이 Hawkes Process 연구로 제29회 삼성휴먼테크논문대상에서 CSE 분야 장려상을 수상했습니다. 연세대 인공지능학과가 "교수당 최다수상학과 (전임교원 대비 수상자 비율)"로 선정 되었습니다. [관련 기사]
One paper, titled "STaSy: Score-based Tabular Data Synthesis," was accepted for spotlight (notable-top-25%) presentation in International Conference on Learning Representations (ICLR) 2023. [arXiv&GitHub]
Seoyoung Hong won the best student paper award at IEEE BigData 2022 for her paper titled "TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering." IEEE BigData ranked right after ICDM is one of the major conferences in the field of data mining & analysis. [관련 기사]
조민주, 진서연, 임선규 학생이 "2022년도 금융결제서비스 발전 논문 공모전 (주최: 금융결제원)"에서 Neural CDE를 활용한 금융 시계열 데이터 예측 및 이상탐지 주제로 최우수상을 수상하였습니다. [관련 기사]
박노성 교수가 정년보장 부교수(tenured associate professor) 승진 하였습니다.
One paper, titled "Learnable Path in Neural Controlled Differential Equations," was accepted for oral presentation in AAAI Conference on Artificial Intelligence (AAAI) 2023. [GitHub]
One paper, titled "TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering," was accepted in IEEE International Conference on Big Data (IEEE BigData) 2022.
Yonsei AI 워크숍에서 BigDyL 연구실 학생들이 여러 교수님들과 참여 기업 연구원들의 심사에 의해 다수 수상 하였습니다.
전진성 학생이 GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks (NeurIPS 2022) 논문으로 "LG AI 연구원 최우수 ML연구상 (부상: iPad Air)"을 수상하였습니다.
이재훈 학생이 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations (ICLR 2022) 논문으로 "네이버 Clova 우수 ML연구상 (부상: 클로바 램프 + 12개월 이용권)"을 수상하였습니다.
이재훈 학생이 Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis (NeurIPS 2021) 논문으로 "삼성종합기술원 우수 ML연구상 (부상: 갤럭시 워치5 프로)"을 수상하였습니다.
김자영 학생이 SOS: Score-based Oversampling for Tabular Data (KDD 2022) 논문으로 "LG전자 우수 ML연구상 (부상: LG 씨네빔)"을 수상하였습니다.
조민주 학생과 이재훈 학생이 각각 관정이종환교육재단과 SBS문화재단의 장학생으로 선발되었습니다.
One paper, titled "GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks," was accepted in Conference on Neural Information Processing Systems (NeurIPS) 2022. [GitHub]
Two papers, titled "Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting," and "Climate Modeling with Neural Advection-Diffusion Equation," were accepted in Knowledge and Information Systems (IF=3.205). These papers are extensions of our last year's ICDM papers.
One paper, titled "Phishing URL Detection: A Network-based Approach Robust to Evasion," was accepted in the ACM Conference on Computer and Communications Security (CCS) 2022. [GitHub]
One full research paper, titled "Prediction-based One-shot Dynamic Parking Pricing," and one short research paper, titled "An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models," were accepted in ACM International Conference on Information and Knowledge Management (CIKM) 2022.
One paper, titled "Two-Stage Training of Graph Neural Networks for Graph Classification," was accepted in Neural Processing Letters (IF=2.565).
One paper, titled "When Neural ODE Meets Adaptive Moment Estimation: Boosting Efficiency, Stability and Accuracy of Neural ODEs Together," was accepted in the ICML Workshop on Continuous Time Methods for Machine Learning 2022.
One paper, titled "SOS: Score-based Oversampling for Tabular Data," was accepted in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022. [GitHub]
One paper, titled "It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher," was accepted for oral presentation in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
One paper, titled "SHIELD: Defending Textual Neural Networks against Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher," was accepted in Annual Meeting of the Association for Computational Linguistics (ACL) 2022.
연세대 빅딜 연구실의 박노성 교수가 삼성휴먼테크논문대상 은상 공동지도교수상을 연세대 컴퓨터과학과 이진호, 김영석 교수님들과 함께 수상하였습니다.
Our paper, titled "Graph Neural Controlled Differential Equations for Traffic Forecasting," was selected for oral presentation in AAAI 2022. The top 4.21% (380/9020) of papers were selected for oral presentation in AAAI 2022.
One paper, titled "Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration," was accepted in the 59th Design Automation Conference (DAC) 2022.
One paper, titled "LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations," was accepted in International Conference on Learning Representations (ICLR) 2022. We received a high average review score of 7.5, ranked 116/3328 (top 3%).
One paper, titled "Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting," was accepted in Web Conference (WWW) 2022. [GitHub]
Our two ICDM papers were invited for journal publications. In ICDM, a selected number of best papers are invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems journal (http://kais.bigke.org/) published by Springer, a top-tier journal in the field of data mining.
One paper, titled "Graph Neural Controlled Differential Equations for Traffic Forecasting," was accepted in AAAI Conference on Artificial Intelligence (AAAI) 2022. [Github]
한국인공지능학회/LG AI연구원 추계공동학술대회의 튜토리얼 발표 및 코드 자료입니다. [Neural ODE] [Collaborative Filtering] [Next PoI Recommendation] [Neural CDE]
One paper, titled "Linear, or Non-Linear, That is the Question!," was accepted in ACM International Web Search and Data Mining Conference (WSDM) 2022. [Github]
Two papers, titled "Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis," and "Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples," were accepted in Annual Conference on Neural Information Processing Systems (NeurIPS). IT-GAN received a high average review score of 7.0, ranked 380/9122 (top 4.1%). [GitHub of IT-GAN]
Prof. Noseong Park was awarded a research grant from the Okawa Foundation. [Link]
연세대 빅딜 연구실의 올 해 KDD, CIKM, ICDM 논문들이 Graph-based Recommendation, Next PoI Recommendataion, 그리고 많은 Time-series Classification & Forecasting 데이터셋에서 현재 전세계 모든 기술 중 State-of-The-Art (SOTA) 정확도를 보이고 있습니다. 모두 깃헙이 공개되어 관심있는 학생들은 스스로 학습 가능합니다. 한국인공지능학회/LG AI연구원 추계공동학술대회의 튜토리얼을 본 연구실에서 진행하는데, 관련해서 구글 코랩에서 쉽게 실험 결과들을 재현해 볼 수 있는 쥬피터 노트북도 준비 중 입니다.
Dr. Nur, who was advised by Prof. Noseong Park in the US, just has earned her Ph.D. and joined the Florida Institute of Technology as a tenure track assistant professor. Big congrats on her big success.
Two full papers, titled "Climate Modeling with Neural Diffusion Equations," and "Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting," were accepted in IEEE International Conference on Data Mining (ICDM) 2021. [Github of NDE] [Github of ANCDE]
연세대 빅딜 연구실의 박노성 교수가 포항공과대학 (POSTECH) 인공지능대학원의 겸직교수로 발령 받았습니다. [링크]
Jinsung Jeon just has finished his first year in our lab as a lab student representative. He has published 4 first-author and 3 co-author papers in top-tier conferences for the last only one year. Big congrats on his extraordinary performance!
Two full papers, titled "LT-OCF: Learnable-Time ODE-based Collaborative Filtering," and "LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising," were accepted in ACM International Conference on Information and Knowledge Management (CIKM) 2021. [Github of LT-OCF] [Github of LightMove]
연세대 빅딜 연구실의 박노성 교수가 "2차 네이버 뉴스 알고리즘 검토위원회"의 위원으로 참여할 예정입니다. 네이버의 뉴스 추천 알고리즘에 대한 2018년의 1차 검토에 이은 2차 검토가 올 8월 부터 시작될 예정 입니다. [링크]
Two papers, titled "ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations," and "Large-Scale Data-Driven Airline Market Influence Maximization," were accepted in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021. [Github of ACE-NODE]
A paper, titled "A Novel Method to Solve Neural Knapsack Problems," was accepted for its spotlight presentation by International Conference on Machine Learning (ICML) 2021. [Codes&Data in Bitbucket]
A paper, titled "A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks," was accepted in the Annual Meeting of Association for Computational Linguistics (ACL) 2021. [Github]
One project supported by Samsung and two projects supported by IITP had been granted.
Tabular data synthesis using GANs (Samsung, ₩110M, 2021.04 ~ 2022.03)
Anomaly detection in time-series data (IITP, ₩100M per year, 2021.04 ~ 2023.12)
Synopsis table synthesis using GANs, VAEs, invertible neural networks, and other generative models (IITP, ₩120M per year, 2021.04 ~ 2024.12)
In addition, we also have several other funds supported by Yonsei University, BK21, Graduate School of AI, LG Display, Socar, and so on (In total, more than ₩150M ~ 200M per year depending on situations).
Noseong Park will serve as a PC Co-Chair for the 20th Workshop on Privacy in the Electronic Society (WPES) which will be held in conjunction with the ACM Conference on Computer and Communications Security (CCS) 2021.
A paper, titled "OCT-GAN: Neural ODE-based Conditional Tabular GANs," was accepted in Web Conference (former WWW) 2021.
The Proceedings of the 16th EAI International Conference on Security and Privacy in Communication Networks (Securecomm) 2020 had been published. Noseong Park was the Publications Chair. Securecomm has CORE conference ranking: B, GII-GRIN-SCIE: B (Top 21%), LiveSHINE: A, H - Index: 42.
A paper, titled "Scalable Graph Synthesis with Adj and 1-Adj," was accepted in SIAM International Conference on Data Mining (SDM) 2021.
A paper, titled "Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets," was accepted in SIAM International Conference on Data Mining (SDM) 2021.
A paper, titled "Attention-based Stress Detection exploiting Non-contact Monitoring of Movement Patterns with IR-UWB radar," was accepted in ACM/SIGAPP Symposium On Applied Computing (SAC) 2021.
A paper, titled "DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation," was accepted in AAAI Conference on Artificial Intelligence (AAAI) 2021. [Github]
A paper, titled "MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks," was accepted in IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2020.
