Power-Aware Position Vector Routing for Wireless Sensor Networks. - Sangsoo Lee; Daeyoung Kim 001; Sungjin Ahn; Noseong Park (EUC Workshops, 2005)

Sub-network mobility analysis in wireless sensor networks. - Noseong Park; Daeyoung Kim 001; Jihoon Park; Yoonmee Doh (ICCCN, 2005)

An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks. - Noseong Park; Daeyoung Kim 001; Yoonmee Doh; Sangsoo Lee; Ji-tae Kim (RTCSA, 2005)

A multi-access asynchronous low-power MAC based on preamble sampling for WSNs. - Noseong Park; Bong Wan Kim; Yoonmee Doh; Jong Arm Jun (ISCC, 2011)

Personalized Best Answer Computation in Graph Databases. - Michael Ovelgönne; Noseong Park; V. S. Subrahmanian; Elizabeth K. Bowman; Kirk Ogaard (ISWC (1), 2013)

SMAC: Subgraph Matching and Centrality in Huge Social Networks. - Noseong Park; Michael Ovelgönne; V. S. Subrahmanian (SocialCom, 2013)

Saving Rhinos with Predictive Analytics. - Noseong Park; Edoardo Serra; V. S. Subrahmanian (IEEE Intell. Syst., 2015)

APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. - Noseong Park; Edoardo Serra; Tom Snitch; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2015)

Ensemble-based algorithms to detect disjoint and overlapping communities in networks. - Tanmoy Chakraborty 002; Noseong Park; V. S. Subrahmanian (ASONAM, 2016)

MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (KDD, 2016)

Ensemble Models for Data-driven Prediction of Malware Infections. - Chanhyun Kang; Noseong Park; B. Aditya Prakash; Edoardo Serra; V. S. Subrahmanian (WSDM, 2016)

Using temporal probabilistic logic for optimal monitoring of security events with limited resources. - Sushil Jajodia; Noseong Park; Edoardo Serra; V. S. Subrahmanian (J. Comput. Secur., 2016)

Top-K Query Processing in Edge-Labeled Graph Data. - Noseong Park (2016)

We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! - Ankesh Anand; Tanmoy Chakraborty 002; Noseong Park (ECIR, 2017)

SENA: Preserving Social Structure for Network Embedding. - Sanghyun Hong 001; Tanmoy Chakraborty 002; Sungjin Ahn; Ghaith Husari; Noseong Park (HT, 2017)

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. - Noseong Park; Ankesh Anand; Joel Ruben Antony Moniz; Kookjin Lee; Tanmoy Chakraborty 002; Jaegul Choo; Hongkyu Park; Youngmin Kim (CoRR, 2017)

Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks. - Tanmoy Chakraborty 002; Noseong Park (CoRR, 2017)

A Probabilistic Logic of Cyber Deception. - Sushil Jajodia; Noseong Park; Fabio Pierazzi; Andrea Pugliese 001; Edoardo Serra; Gerardo I. Simari; V. S. Subrahmanian (IEEE Trans. Inf. Forensics Secur., 2017)

Data-Driven Frequency-Based Airline Profit Maximization. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (ACM Trans. Intell. Syst. Technol., 2017)

A Computational Approach to Finding Contradictions in User Opinionated Text. - Chuqin Li; Xi Niu; Ahmad Al-Doulat; Noseong Park (ASONAM, 2018)

PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding. - Sanghyun Hong 001; Noseong Park; Tanmoy Chakraborty 002; Hyunjoong Kang; Soonhyun Kwon (BigData Congress, 2018)

Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks. - Ankesh Anand; Kshitij Gorde; Joel Ruben Antony Moniz; Noseong Park; Tanmoy Chakraborty 002; Bei-Tseng Chu (IEEE BigData, 2018)

MMGAN: Manifold-Matching Generative Adversarial Networks. - Noseong Park; Ankesh Anand; Joel Ruben Antony Moniz; Kookjin Lee; Jaegul Choo; David Keetae Park; Tanmoy Chakraborty 002; Hongkyu Park; Youngmin Kim (ICPR, 2018)

On Integrating Knowledge Graph Embedding into SPARQL Query Processing. - Hyunjoong Kang; Sanghyun Hong 001; Kookjin Lee; Noseong Park; Soonhyun Kwon (ICWS, 2018)

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. - David Keetae Park; Seungjoo Yoo; Hyojin Bahng; Jaegul Choo; Noseong Park (IJCAI, 2018)

Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods. - Tanmoy Chakraborty 002; Zhe Cui; Noseong Park (WWW (Companion Volume), 2018)

GI-OHMS: Graphical Inference to Detect Overlapping Communities. - Nasheen Nur; Wenwen Dou; Xi Niu; Siddharth Krishnan; Noseong Park (CoRR, 2018)

Hybrid adversarial defense: Merging honeypots and traditional security methods. - Tanmoy Chakraborty 002; Sushil Jajodia; Noseong Park; Andrea Pugliese 001; Edoardo Serra; V. S. Subrahmanian (J. Comput. Secur., 2018)

Data Synthesis based on Generative Adversarial Networks. - Noseong Park; Mahmoud Mohammadi; Kshitij Gorde; Sushil Jajodia; Hongkyu Park; Youngmin Kim (Proc. VLDB Endow., 2018)

SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. - Sushil Jajodia; Noseong Park; Edoardo Serra; V. S. Subrahmanian (ACM Trans. Internet Techn., 2018)

Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases. - Francesco Parisi; Noseong Park; Andrea Pugliese 001; V. S. Subrahmanian (ACM Trans. Web, 2018)

Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education. - Nasheen Nur; Noseong Park; Mohsen Dorodchi; Wenwen Dou; Mohammad Javad Mahzoon; Xi Niu; Mary Lou Maher (AIED (1), 2019)

Predicting Influence Probabilities using Graph Convolutional Networks. - Jing Liu 024; Yudi Chen; Duanshun Li; Noseong Park; Kisung Lee; Dongwon Lee 001 (IEEE BigData, 2019)

Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. - Nasheen Nur; Noseong Park; Kookjin Lee; Hyunjoong Kang; Soonhyeon Kwon (IEEE BigData, 2019)

VASE: A Twitter-Based Vulnerability Analysis and Score Engine. - Haipeng Chen 001; Jing Liu 024; Rui Liu 014; Noseong Park; V. S. Subrahmanian (ICDM, 2019)

FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. - Haipeng Chen 001; Sushil Jajodia; Jing Liu 024; Noseong Park; Vadim Sokolov; V. S. Subrahmanian (IJCAI, 2019)

VEST: A System for Vulnerability Exploit Scoring & Timing. - Haipeng Chen 001; Jing Liu 024; Rui Liu 014; Noseong Park; V. S. Subrahmanian (IJCAI, 2019)

Using Twitter to Predict When Vulnerabilities will be Exploited. - Haipeng Chen 001; Rui Liu 014; Noseong Park; V. S. Subrahmanian (KDD, 2019)

Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. - Duanshun Li; Jing Liu 024; Noseong Park; Dongeun Lee 001; Giridhar Ramachandran; Ali Seyedmazloom; Kookjin Lee; Chen Feng 002; Vadim Sokolov; Rajesh Ganesan (CoRR, 2019)

Ensemble-based overlapping community detection using disjoint community structures. - Tanmoy Chakraborty 002; Saptarshi Ghosh 001; Noseong Park (Knowl. Based Syst., 2019)

Phishing URL Detection with Lexical Features and Blacklisted Domains. - Jiwon Hong; Taeri Kim; Jing Liu 024; Noseong Park; Sang-Wook Kim (Adaptive Autonomous Secure Cyber Systems, 2020)

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. - Jihoon Ko; Kyuhan Lee; Kijung Shin; Noseong Park (ASONAM, 2020)

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. - Jihoon Ko; Kyuhan Lee; Kijung Shin; Noseong Park (CoRR, 2020)

Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions. - Myeong Lee; Seongkyu Lee; Seonghoon Kim; Noseong Park (CoRR, 2020)

SIENA: Stochastic Multi-Expert Neural Patcher. - Thai Le; Noseong Park; Dongwon Lee 001 (CoRR, 2020)

Detecting Universal Trigger's Adversarial Attack with Honeypot. - Thai Le; Noseong Park; Dongwon Lee 001 (CoRR, 2020)

Top-k user-specified preferred answers in massive graph databases. - Noseong Park; Andrea Pugliese 001; Edoardo Serra; V. S. Subrahmanian (Data Knowl. Eng., 2020)

Incremental community discovery via latent network representation and probabilistic inference. - Zhe Cui; Noseong Park; Tanmoy Chakraborty 002 (Knowl. Inf. Syst., 2020)

Ensemble Detection and Analysis of Communities in Complex Networks. - Tanmoy Chakraborty 002; Noseong Park; Ayush Agarwal; V. S. Subrahmanian (Trans. Data Sci., 2020)

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. - Jungeun Kim; Kookjin Lee; Dongeun Lee 001; Sheo Yon Jhin; Noseong Park (AAAI, 2021)

A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. - Thai Le; Noseong Park; Dongwon Lee 001 (ACL/IJCNLP (1), 2021)

LT-OCF: Learnable-Time ODE-based Collaborative Filtering. - Jeongwhan Choi 002; Jinsung Jeon; Noseong Park (CIKM, 2021)

LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. - Jinsung Jeon; Soyoung Kang; Minju Jo; Seunghyeon Cho; Noseong Park; Seonghoon Kim; Chiyoung Song (CIKM, 2021)

Climate Modeling with Neural Diffusion Equations. - Jeehyun Hwang; Jeongwhan Choi 002; Hwangyong Choi; Kookjin Lee; Dongeun Lee 001; Noseong Park (ICDM, 2021)

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Heejoo Shin; Seoyoung Hong 001; Minju Jo; Solhee Park; Noseong Park; Seungbeom Lee; Hwiyoung Maeng; Seungmin Jeon (ICDM, 2021)

A Novel Method to Solve Neural Knapsack Problems. - Duanshun Li; Jing Liu 024; Dongeun Lee 001; Ali Seyedmazloom; Giridhar Kaushik; Kookjin Lee; Noseong Park (ICML, 2021)

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. - Sheo Yon Jhin; Minju Jo; Taeyong Kong; Jinsung Jeon; Noseong Park (KDD, 2021)

Large-Scale Data-Driven Airline Market Influence Maximization. - Duanshun Li; Jing Liu 024; Jinsung Jeon; Seoyoung Hong 001; Thai Le; Dongwon Lee 001; Noseong Park (KDD, 2021)

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. - Kanghyun Choi; Deokki Hong; Noseong Park; Youngsok Kim; Jinho Lee (NeurIPS, 2021)

Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. - Jaehoon Lee 002; Jihyeon Hyeong; Jinsung Jeon; Noseong Park; Jihoon Cho (NeurIPS, 2021)

Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar. - Jonghoon Shin; Junhyung Moon 001; Beomsik Kim; Jihwan Eom; Noseong Park; Kyoungwoo Lee (SAC, 2021)

Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. - Jinsung Jeon; Dongeun Lee 001; Seunghyun Hwang; Soyoung Kang; Noseong Park; Duanshun Li; Kookjin Lee; Jing Liu 024 (SDM, 2021)

Scalable Graph Synthesis with Adj and 1 - Adj. - Jinsung Jeon; Jing Liu 024; Jayoung Kim 002; Jaehoon Lee 002; Noseong Park; Jamie Jooyeon Lee; Özlem Uzuner; Sushil Jajodia (SDM, 2021)

OCT-GAN: Neural ODE-based Conditional Tabular GANs. - Jayoung Kim 002; Jinsung Jeon; Jaehoon Lee 002; Jihyeon Hyeong; Noseong Park (WWW, 2021)

LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. - Jinsung Jeon; Soyoung Kang; Minju Jo; Seunghyeon Cho; Noseong Park; Seonghoon Kim; Chiyoung Song (CoRR, 2021)

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Heejoo Shin; Seoyoung Hong 001; Solhee Park; Noseong Park (CoRR, 2021)

Graph Neural Controlled Differential Equations for Traffic Forecasting. - Jeongwhan Choi 002; Hwangyong Choi; Jeehyun Hwang; Noseong Park (AAAI, 2022)

SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. - Thai Le; Noseong Park; Dongwon Lee 001 (ACL (1), 2022)

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. - Seoyoung Hong 001; Minju Jo; Seungji Kook; Jaeeun Jung; Hyowon Wi; Noseong Park; Sung-Bae Cho (IEEE Big Data, 2022)

Phishing URL Detection: A Network-based Approach Robust to Evasion. - Taeri Kim; Noseong Park; Jiwon Hong; Sang-Wook Kim (CCS, 2022)

Prediction-based One-shot Dynamic Parking Pricing. - Seoyoung Hong 001; Heejoo Shin; Jeongwhan Choi 002; Noseong Park (CIKM, 2022)

An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. - Jihyeon Hyeong; Jayoung Kim 002; Noseong Park; Sushil Jajodia (CIKM, 2022)

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. - Kanghyun Choi; Hyeyoon Lee; Deokki Hong; Joonsang Yu; Noseong Park; Youngsok Kim; Jinho Lee (CVPR, 2022)

Enabling hard constraints in differentiable neural network and accelerator co-exploration. - Deokki Hong; Kanghyun Choi; Hyeyoon Lee; Joonsang Yu; Noseong Park; Youngsok Kim; Jinho Lee (DAC, 2022)

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. - Jaehoon Lee 002; Jinsung Jeon; Sheo Yon Jhin; Jihyeon Hyeong; Jayoung Kim 002; Minju Jo; Seungji Kook; Noseong Park (ICLR, 2022)

SOS: Score-based Oversampling for Tabular Data. - Jayoung Kim 002; Chaejeong Lee; Yehjin Shin; Sewon Park 004; Minjung Kim; Noseong Park; Jihoon Cho (KDD, 2022)

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. - Jinsung Jeon; Jeonghak Kim; Haryong Song; Seunghyeon Cho; Noseong Park (NeurIPS, 2022)

Linear, or Non-Linear, That is the Question! - Taeyong Kong; Taeri Kim; Jinsung Jeon; Jeongwhan Choi 002; Yeon-Chang Lee; Noseong Park; Sang-Wook Kim (WSDM, 2022)

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Jaehoon Lee 002; Minju Jo; Seungji Kook; Jinsung Jeon; Jihyeon Hyeong; Jayoung Kim 002; Noseong Park (WWW, 2022)

Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. - Jaehoon Lee 002; Jihyeon Hyeong; Jinsung Jeon; Noseong Park; Jihoon Cho (CoRR, 2022)

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations. - Jinsung Jeon; Noseong Park (CoRR, 2022)

AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. - Suneghyeon Cho; Sanghyun Hong 001; Kookjin Lee; Noseong Park (CoRR, 2022)

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. - Fan Wu; Sanghyun Hong 001; Donsub Rim; Noseong Park; Kookjin Lee (CoRR, 2022)

Perturbation-Recovery Method for Recommendation. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (CoRR, 2022)

Time Series Forecasting with Hypernetworks Generating Parameters in Advance. - Jaehoon Lee 002; Chan Kim; Gyumin Lee; Haksoo Lim; Jeongwhan Choi 002; Kookjin Lee; Dongeun Lee 001; Sanghyun Hong 001; Noseong Park (CoRR, 2022)

GREAD: Graph Neural Reaction-Diffusion Equations. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (CoRR, 2022)

Learnable Path in Neural Controlled Differential Equations. - Sheo Yon Jhin; Minju Jo; Seungji Kook; Noseong Park (AAAI, 2023)

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. - Seonkyu Lim; Jaehyeon Park; Seojin Kim; Hyowon Wi; Haksoo Lim; Jinsung Jeon; Jeongwhan Choi 002; Noseong Park (IEEE Big Data, 2023)

Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks. - Julia Hsin-Ping Hsu; Heejoo Shin; Noseong Park; Myeong Lee (C&T, 2023)

MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. - Haksoo Lim; Sewon Park 004; Minjung Kim; Jaehoon Lee 002; Seonkyu Lim; Noseong Park (CIKM, 2023)

Fast Adversarial Training with Dynamic Batch-level Attack Control. - Jaewon Jung 001; Jaeyong Song; Hongsun Jang; Hyeyoon Lee; Kanghyun Choi; Noseong Park; Jinho Lee (DAC, 2023)

STaSy: Score-based Tabular data Synthesis. - Jayoung Kim 002; Chaejeong Lee; Noseong Park (ICLR, 2023)

GREAD: Graph Neural Reaction-Diffusion Networks. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (ICML, 2023)

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. - Chaejeong Lee; Jayoung Kim 002; Noseong Park (ICML, 2023)

Hawkes Process Based on Controlled Differential Equations. - Minju Jo; Seungji Kook; Noseong Park (IJCAI, 2023)

Precursor-of-Anomaly Detection for Irregular Time Series. - Sheo Yon Jhin; Jaehoon Lee 002; Noseong Park (KDD, 2023)

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. - Woojin Cho; Kookjin Lee; Donsub Rim; Noseong Park (NeurIPS, 2023)

Blurring-Sharpening Process Models for Collaborative Filtering. - Jeongwhan Choi 002; Seoyoung Hong 001; Noseong Park; Sung-Bae Cho (SIGIR, 2023)

Learnable Path in Neural Controlled Differential Equations. - Sheo Yon Jhin; Minju Jo; Seungji Kook; Noseong Park; Sungpil Woo; Sunhwan Lim (CoRR, 2023)

Regular Time-series Generation using SGM. - Haksoo Lim; Minjung Kim; Sewon Park 004; Noseong Park (CoRR, 2023)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. - Jeongwhan Choi 002; Hyowon Wi; Chaejeong Lee; Sung-Bae Cho; Dongha Lee 003; Noseong Park (CoRR, 2023)

Climate modeling with neural advection-diffusion equation. - Hwangyong Choi; Jeongwhan Choi 002; Jeehyun Hwang; Kookjin Lee; Dongeun Lee 001; Noseong Park (Knowl. Inf. Syst., 2023)

Two-Stage Training of Graph Neural Networks for Graph Classification. - Manh Tuan Do; Noseong Park; Kijung Shin (Neural Process. Lett., 2023)

Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment. - Jaeyeon Park; Kichang Lee; Noseong Park; Seng Chan You; JeongGil Ko (Artif. Intell. Medicine, 2023)

Graph Neural Rough Differential Equations for Traffic Forecasting. - Jeongwhan Choi 002; Noseong Park (ACM Trans. Intell. Syst. Technol., 2023)

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. - Woojin Cho; Seunghyeon Cho; Hyundong Jin; Jinsung Jeon; Kookjin Lee; Sanghyun Hong 001; Dongeun Lee 001; Jonghyun Choi; Noseong Park (AAAI, 2024)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. - Yehjin Shin; Jeongwhan Choi 002; Hyowon Wi; Noseong Park (AAAI, 2024)

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. - Seonkyu Lim; Jeongwhan Choi 002; Noseong Park; Sang-Ha Yoon; ShinHyuck Kang; Young-Min Kim; Hyunjoong Kang (CIKM, 2024)

Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. - Fan Wu; Woojin Cho; David Korotky; Sanghyun Hong 001; Donsub Rim; Noseong Park; Kookjin Lee (CIKM, 2024)

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. - Jinsung Jeon; Hyundong Jin; Jonghyun Choi; Sanghyun Hong 001; Dongeun Lee 001; Kookjin Lee; Noseong Park (ICLR, 2024)

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. - Youn-Yeol Yu; Jeongwhan Choi 002; Woojin Cho; Kookjin Lee; Nayong Kim; Kiseok Chang; ChangSeung Woo; Ilho Kim; SeokWoo Lee; Joon-Young Yang; Sooyoung Yoon; Noseong Park (ICLR, 2024)

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. - Jeongwhan Choi 002; Sumin Park; Hyowon Wi; Sung-Bae Cho; Noseong Park (ICML, 2024)

Polynomial-based Self-Attention for Table Representation Learning. - Jayoung Kim 002; Yehjin Shin; Jeongwhan Choi 002; Hyowon Wi; Noseong Park (ICML, 2024)

Parameterized Physics-informed Neural Networks for Parameterized PDEs. - Woojin Cho; Minju Jo; Haksoo Lim; Kookjin Lee; Dongeun Lee 001; Sanghyun Hong 001; Noseong Park (ICML, 2024)

DataFreeShield: Defending Adversarial Attacks without Training Data. - Hyeyoon Lee; Kanghyun Choi; Dain Kwon; Sunjong Park; Mayoore Selvarasa Jaiswal; Noseong Park; Jonghyun Choi; Jinho Lee (ICML, 2024)

SVD-AE: Simple Autoencoders for Collaborative Filtering. - Seoyoung Hong 001; Jeongwhan Choi 002; Yeon-Chang Lee; Srijan Kumar; Noseong Park (IJCAI, 2024)

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. - Sheo Yon Jhin; Seojin Kim; Noseong Park (KDD, 2024)

Graph Convolutions Enrich the Self-Attention in Transformers! - Jeongwhan Choi 002; Hyowon Wi; Jayoung Kim 002; Yehjin Shin; Kookjin Lee; Nathaniel Trask; Noseong Park (NeurIPS, 2024)

Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. - Hyowon Wi; Yehjin Shin; Noseong Park (WSDM, 2024)

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. - Chaejeong Lee; Jeongwhan Choi 002; Hyowon Wi; Sung-Bae Cho; Noseong Park (CoRR, 2024)

Graph Signal Processing for Cross-Domain Recommendation. - Jeongeun Lee; Seongku Kang; Won-Yong Shin; Jeongwhan Choi 002; Noseong Park; Dongha Lee 003 (CoRR, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jinho Lee (CoRR, 2024)

FastLRNR and Sparse Physics Informed Backpropagation. - Woojin Cho; Kookjin Lee; Noseong Park; Donsub Rim; Gerrit Welper (CoRR, 2024)

MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. - Mingu Kang; Dongseok Lee; Woojin Cho; Jaehyeon Park; Kookjin Lee; Anthony Gruber; Youngjoon Hong; Noseong Park (CoRR, 2024)

Attentive neural controlled differential equations for time-series classification and forecasting. - Sheo Yon Jhin; Heejoo Shin; Sujie Kim; Seoyoung Hong 001; Minju Jo; Solhee Park; Noseong Park; Seungbeom Lee; Hwiyoung Maeng; Seungmin Jeon (Knowl. Inf. Syst., 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jonghyun Choi; Jinho Lee (AAAI, 2025)

FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features. - Seonkyu Lim; Jeongwhan Choi 002; Jaehoon Lee 002; Noseong Park (BigComp, 2025)

Neural Functions for Learning Periodic Signal. - Woojin Cho; Minju Jo; Kookjin Lee; Noseong Park (ICLR, 2025)

Efficiently Parameterized Neural Metriplectic Systems. - Anthony Gruber; Kookjin Lee; Haksoo Lim; Noseong Park; Nathaniel Trask (ICLR, 2025)

PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. - Youn-Yeol Yu; Jeongwhan Choi 002; Jaehyeon Park; Kookjin Lee; Noseong Park (ICLR, 2025)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. - Chaejeong Lee; Jeongwhan Choi 002; Hyowon Wi; Sung-Bae Cho; Noseong Park (WSDM, 2025)

Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering. - Yeon Uk Jeong; Jeongwhan Choi 002; Noseong Park; Jae Yong Ryu; Yi Rang Kim (Artif. Intell. Medicine, 2025)

Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations. - Uvini Balasuriya Mudiyanselage; Woojin Cho; Minju Jo; Noseong Park; Kookjin Lee (CoRR, 2025)

Possibility for Proactive Anomaly Detection. - Jinsung Jeon; Jaehyeon Park; Sewon Park 004; Jeongwhan Choi 002; Minjung Kim; Noseong Park (CoRR, 2025)

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. - Hyowon Wi; Jeongwhan Choi 002; Noseong Park (CoRR, 2025)

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling. - Minju Jo; Woojin Cho; Uvini Balasuriya Mudiyanselage; Seungjun Lee; Noseong Park; Kookjin Lee (CoRR, 2025)