Noseong Park

Orcid: 0000-0002-1268-840X

According to our database1, Noseong Park authored at least 126 papers between 2005 and 2024.

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Bibliography

2024
Attentive neural controlled differential equations for time-series classification and forecasting.
Knowl. Inf. Syst., March, 2024

MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data.
CoRR, 2024

FastLRNR and Sparse Physics Informed Backpropagation.
CoRR, 2024

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.
CoRR, 2024

Graph Signal Processing for Cross-Domain Recommendation.
CoRR, 2024

Efficiently Parameterized Neural Metriplectic Systems.
CoRR, 2024

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering.
CoRR, 2024

Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SVD-AE: Simple Autoencoders for Collaborative Filtering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DataFreeShield: Defending Adversarial Attacks without Training Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parameterized Physics-informed Neural Networks for Parameterized PDEs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Polynomial-based Self-Attention for Table Representation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Neural Rough Differential Equations for Traffic Forecasting.
ACM Trans. Intell. Syst. Technol., August, 2023

Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment.
Artif. Intell. Medicine, August, 2023

Two-Stage Training of Graph Neural Networks for Graph Classification.
Neural Process. Lett., June, 2023

Climate modeling with neural advection-diffusion equation.
Knowl. Inf. Syst., June, 2023

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.
CoRR, 2023

Graph Convolutions Enrich the Self-Attention in Transformers!
CoRR, 2023

Regular Time-series Generation using SGM.
CoRR, 2023

Learnable Path in Neural Controlled Differential Equations.
CoRR, 2023

Blurring-Sharpening Process Models for Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Precursor-of-Anomaly Detection for Irregular Time Series.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hawkes Process Based on Controlled Differential Equations.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis.
Proceedings of the International Conference on Machine Learning, 2023

GREAD: Graph Neural Reaction-Diffusion Networks.
Proceedings of the International Conference on Machine Learning, 2023

STaSy: Score-based Tabular data Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

MadSGM: Multivariate Anomaly Detection with Score-based Generative Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks.
Proceedings of the 11th International Conference on Communities and Technologies (C&T), Lahti, Finland, 29 May 2023, 2023

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Big Data, 2023

Learnable Path in Neural Controlled Differential Equations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GREAD: Graph Neural Reaction-Diffusion Equations.
CoRR, 2022

Time Series Forecasting with Hypernetworks Generating Parameters in Advance.
CoRR, 2022

Perturbation-Recovery Method for Recommendation.
CoRR, 2022

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting.
CoRR, 2022

AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation.
CoRR, 2022

SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations.
CoRR, 2022

Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis.
CoRR, 2022

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Linear, or Non-Linear, That is the Question!
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SOS: Score-based Oversampling for Tabular Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Enabling hard constraints in differentiable neural network and accelerator co-exploration.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Prediction-based One-shot Dynamic Parking Pricing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Phishing URL Detection: A Network-based Approach Robust to Evasion.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering.
Proceedings of the IEEE International Conference on Big Data, 2022

SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Graph Neural Controlled Differential Equations for Traffic Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.
CoRR, 2021

LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising.
CoRR, 2021

OCT-GAN: Neural ODE-based Conditional Tabular GANs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Scalable Graph Synthesis with Adj and 1 - Adj.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large-Scale Data-Driven Airline Market Influence Maximization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Novel Method to Solve Neural Knapsack Problems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2021

Climate Modeling with Neural Diffusion Equations.
Proceedings of the IEEE International Conference on Data Mining, 2021

LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

LT-OCF: Learnable-Time ODE-based Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Ensemble Detection and Analysis of Communities in Complex Networks.
Trans. Data Sci., 2020

Incremental community discovery via latent network representation and probabilistic inference.
Knowl. Inf. Syst., 2020

Top-k user-specified preferred answers in massive graph databases.
Data Knowl. Eng., 2020

Detecting Universal Trigger's Adversarial Attack with Honeypot.
CoRR, 2020

SIENA: Stochastic Multi-Expert Neural Patcher.
CoRR, 2020

Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions.
CoRR, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks.
CoRR, 2020

MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Phishing URL Detection with Lexical Features and Blacklisted Domains.
Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019
Ensemble-based overlapping community detection using disjoint community structures.
Knowl. Based Syst., 2019

Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling.
CoRR, 2019

Using Twitter to Predict When Vulnerabilities will be Exploited.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

VEST: A System for Vulnerability Exploit Scoring & Timing.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

VASE: A Twitter-Based Vulnerability Analysis and Score Engine.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Predicting Influence Probabilities using Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases.
ACM Trans. Web, 2018

SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine.
ACM Trans. Internet Techn., 2018

Data Synthesis based on Generative Adversarial Networks.
Proc. VLDB Endow., 2018

Hybrid adversarial defense: Merging honeypots and traditional security methods.
J. Comput. Secur., 2018

GI-OHMS: Graphical Inference to Detect Overlapping Communities.
CoRR, 2018

Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On Integrating Knowledge Graph Embedding into SPARQL Query Processing.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

MMGAN: Manifold-Matching Generative Adversarial Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding.
Proceedings of the Big Data - BigData 2018, 2018

A Computational Approach to Finding Contradictions in User Opinionated Text.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Data-Driven Frequency-Based Airline Profit Maximization.
ACM Trans. Intell. Syst. Technol., 2017

A Probabilistic Logic of Cyber Deception.
IEEE Trans. Inf. Forensics Secur., 2017

Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks.
CoRR, 2017

MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.
CoRR, 2017

SENA: Preserving Social Structure for Network Embedding.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next!
Proceedings of the Advances in Information Retrieval, 2017

2016
Top-K Query Processing in Edge-Labeled Graph Data.
PhD thesis, 2016

Using temporal probabilistic logic for optimal monitoring of security events with limited resources.
J. Comput. Secur., 2016

Ensemble Models for Data-driven Prediction of Malware Infections.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Ensemble-based algorithms to detect disjoint and overlapping communities in networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine.
IEEE Trans. Comput. Soc. Syst., 2015

Saving Rhinos with Predictive Analytics.
IEEE Intell. Syst., 2015

2013
SMAC: Subgraph Matching and Centrality in Huge Social Networks.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Personalized Best Answer Computation in Graph Databases.
Proceedings of the Semantic Web - ISWC 2013, 2013

2011
A multi-access asynchronous low-power MAC based on preamble sampling for WSNs.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011

2005
An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks.
Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), 2005

Sub-network mobility analysis in wireless sensor networks.
Proceedings of the 14th International Conference On Computer Communications and Networks, 2005

Power-Aware Position Vector Routing for Wireless Sensor Networks.
Proceedings of the Embedded and Ubiquitous Computing - EUC 2005 Workshops, 2005


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