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2020 – today
- 2024
[j18]Sheo Yon Jhin
, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive neural controlled differential equations for time-series classification and forecasting. Knowl. Inf. Syst. 66(3): 1885-1915 (2024)- [c79]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI 2024: 8984-8992 - [c78]Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park:
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI 2024: 11543-11551 - [c77]Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee:
Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. CIKM 2024: 2534-2543 - [c76]Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang:
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CIKM 2024: 4686-4693 - [c75]Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park:
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR 2024 - [c74]Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park:
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR 2024 - [c73]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML 2024 - [c72]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation Learning. ICML 2024 - [c71]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. ICML 2024 - [c70]Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee:
DataFreeShield: Defending Adversarial Attacks without Training Data. ICML 2024 - [c69]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. IJCAI 2024: 2054-2062 - [c68]Sheo Yon Jhin, Seojin Kim, Noseong Park:
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. KDD 2024: 1234-1245 - [c67]Hyowon Wi, Yehjin Shin, Noseong Park:
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. WSDM 2024: 826-835 - [i72]Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park:
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR abs/2402.12721 (2024) - [i71]Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR abs/2405.00287 (2024) - [i70]Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park:
SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR abs/2405.04746 (2024) - [i69]Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask:
Efficiently Parameterized Neural Metriplectic Systems. CoRR abs/2405.16305 (2024) - [i68]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR abs/2406.03671 (2024) - [i67]Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee:
DataFreeShield: Defending Adversarial Attacks without Training Data. CoRR abs/2406.15635 (2024) - [i66]Sheo Yon Jhin, Seojin Kim, Noseong Park:
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. CoRR abs/2407.01622 (2024) - [i65]Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee:
Graph Signal Processing for Cross-Domain Recommendation. CoRR abs/2407.12374 (2024) - [i64]Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee:
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. CoRR abs/2407.20021 (2024) - [i63]Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Parameterized Physics-informed Neural Networks for Parameterized PDEs. CoRR abs/2408.09446 (2024) - [i62]Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang:
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CoRR abs/2409.08732 (2024) - [i61]Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper:
FastLRNR and Sparse Physics Informed Backpropagation. CoRR abs/2410.04001 (2024) - [i60]Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park:
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR abs/2410.06442 (2024) - 2023
- [j17]Jaeyeon Park, Kichang Lee, Noseong Park, Seng Chan You, JeongGil Ko:
Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment. Artif. Intell. Medicine 142: 102570 (2023) - [j16]Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. 65(6): 2403-2427 (2023) - [j15]Manh Tuan Do, Noseong Park, Kijung Shin:
Two-Stage Training of Graph Neural Networks for Graph Classification. Neural Process. Lett. 55(3): 2799-2823 (2023) - [j14]Jeongwhan Choi, Noseong Park:
Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. 14(4): 74:1-74:27 (2023) - [c66]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park:
Learnable Path in Neural Controlled Differential Equations. AAAI 2023: 8014-8022 - [c65]Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. IEEE Big Data 2023: 748-757 - [c64]Julia Hsin-Ping Hsu, Heejoo Shin, Noseong Park, Myeong Lee:
Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks. C&T 2023: 54-63 - [c63]Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park:
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CIKM 2023: 1411-1420 - [c62]Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee:
Fast Adversarial Training with Dynamic Batch-level Attack Control. DAC 2023: 1-6 - [c61]Jayoung Kim, Chaejeong Lee, Noseong Park:
STaSy: Score-based Tabular data Synthesis. ICLR 2023 - [c60]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Networks. ICML 2023: 5722-5747 - [c59]Chaejeong Lee, Jayoung Kim, Noseong Park:
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. ICML 2023: 18940-18956 - [c58]Minju Jo, Seungji Kook, Noseong Park:
Hawkes Process Based on Controlled Differential Equations. IJCAI 2023: 2151-2159 - [c57]Sheo Yon Jhin, Jaehoon Lee, Noseong Park:
Precursor-of-Anomaly Detection for Irregular Time Series. KDD 2023: 917-929 - [c56]Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park:
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS 2023 - [c55]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR 2023: 1096-1106 - [i59]Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim:
Learnable Path in Neural Controlled Differential Equations. CoRR abs/2301.04333 (2023) - [i58]Haksoo Lim, Minjung Kim, Sewon Park, Noseong Park:
Regular Time-series Generation using SGM. CoRR abs/2301.08518 (2023) - [i57]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR abs/2301.09312 (2023) - [i56]Jeongwhan Choi, Noseong Park:
Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR abs/2303.10909 (2023) - [i55]Chaejeong Lee, Jayoung Kim, Noseong Park:
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. CoRR abs/2304.12654 (2023) - [i54]Minju Jo, Seungji Kook, Noseong Park:
Hawkes Process Based on Controlled Differential Equations. CoRR abs/2305.07031 (2023) - [i53]Sheo Yon Jhin, Jaehoon Lee, Noseong Park:
Precursor-of-Anomaly Detection for Irregular Time Series. CoRR abs/2306.15489 (2023) - [i52]Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park:
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CoRR abs/2308.15069 (2023) - [i51]Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park:
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR abs/2310.09528 (2023) - [i50]Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR abs/2311.04522 (2023) - [i49]Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park:
Graph Convolutions Enrich the Self-Attention in Transformers! CoRR abs/2312.04234 (2023) - [i48]Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
Polynomial-based Self-Attention for Table Representation learning. CoRR abs/2312.07753 (2023) - [i47]Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park:
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR abs/2312.10274 (2023) - [i46]Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR abs/2312.10325 (2023) - [i45]Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park:
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR abs/2312.12467 (2023) - [i44]Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park:
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR abs/2312.16563 (2023) - [i43]Hyowon Wi, Yehjin Shin, Noseong Park:
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. CoRR abs/2312.16581 (2023) - 2022
- [c54]Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI 2022: 6367-6374 - [c53]Thai Le, Noseong Park, Dongwon Lee:
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) 2022: 6661-6674 - [c52]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. IEEE Big Data 2022: 565-574 - [c51]Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim:
Phishing URL Detection: A Network-based Approach Robust to Evasion. CCS 2022: 1769-1782 - [c50]Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. CIKM 2022: 748-757 - [c49]Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia:
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CIKM 2022: 4064-4068 - [c48]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022: 8301-8311 - [c47]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC 2022: 589-594 - [c46]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. ICLR 2022 - [c45]Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho:
SOS: Score-based Oversampling for Tabular Data. KDD 2022: 762-772 - [c44]Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park:
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. NeurIPS 2022 - [c43]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! WSDM 2022: 517-525 - [c42]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW 2022: 3102-3112 - [i42]Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho:
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. CoRR abs/2202.03636 (2022) - [i41]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR abs/2203.17008 (2022) - [i40]Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park:
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR abs/2204.08771 (2022) - [i39]Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park:
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. CoRR abs/2204.08781 (2022) - [i38]Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho:
SOS: Score-based Oversampling for Tabular Data. CoRR abs/2206.08555 (2022) - [i37]Jinsung Jeon, Noseong Park:
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations. CoRR abs/2206.14464 (2022) - [i36]Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park:
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR abs/2207.06066 (2022) - [i35]Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia:
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CoRR abs/2208.08114 (2022) - [i34]Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. CoRR abs/2208.14231 (2022) - [i33]Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim:
Phishing URL Detection: A Network-based Approach Robust to Evasion. CoRR abs/2209.01454 (2022) - [i32]Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park:
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. CoRR abs/2210.02040 (2022) - [i31]Jayoung Kim, Chaejeong Lee, Noseong Park:
STaSy: Score-based Tabular data Synthesis. CoRR abs/2210.04018 (2022) - [i30]Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee:
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR abs/2210.04958 (2022) - [i29]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR abs/2211.04266 (2022) - [i28]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Perturbation-Recovery Method for Recommendation. CoRR abs/2211.09324 (2022) - [i27]Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park:
Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR abs/2211.12034 (2022) - [i26]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR abs/2211.14208 (2022) - 2021
- [c41]Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI 2021: 8146-8154 - [c40]Thai Le, Noseong Park, Dongwon Lee:
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) 2021: 3831-3844 - [c39]Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM 2021: 251-260 - [c38]Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. CIKM 2021: 3857-3866 - [c37]Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. ICDM 2021: 230-239 - [c36]Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. ICDM 2021: 250-259 - [c35]Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park:
A Novel Method to Solve Neural Knapsack Problems. ICML 2021: 6414-6424 - [c34]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. KDD 2021: 736-745 - [c33]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. KDD 2021: 914-924 - [c32]Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho:
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. NeurIPS 2021: 4263-4273 - [c31]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS 2021: 14835-14847 - [c30]Jonghoon Shin, Junhyung Moon, Beomsik Kim, Jihwan Eom, Noseong Park, Kyoungwoo Lee:
Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar. SAC 2021: 637-640 - [c29]Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Özlem Uzuner, Sushil Jajodia:
Scalable Graph Synthesis with Adj and 1 - Adj. SDM 2021: 307-315 - [c28]Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu:
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM 2021: 711-719 - [c27]Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. WWW 2021: 1506-1515 - [i25]Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. CoRR abs/2105.14953 (2021) - [i24]Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. CoRR abs/2105.14969 (2021) - [i23]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR abs/2105.15012 (2021) - [i22]Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. CoRR abs/2108.04993 (2021) - [i21]Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR abs/2108.06208 (2021) - [i20]Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR abs/2109.01876 (2021) - [i19]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR abs/2111.02625 (2021) - [i18]Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park:
Climate Modeling with Neural Diffusion Equations. CoRR abs/2111.06011 (2021) - [i17]Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim:
Linear, or Non-Linear, That is the Question! CoRR abs/2111.07265 (2021) - [i16]Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. CoRR abs/2112.03558 (2021) - 2020
- [j13]Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian:
Top-k user-specified preferred answers in massive graph databases. Data Knowl. Eng. 127: 101798 (2020) - [j12]Zhe Cui, Noseong Park, Tanmoy Chakraborty:
Incremental community discovery via latent network representation and probabilistic inference. Knowl. Inf. Syst. 62(6): 2281-2300 (2020) - [j11]Tanmoy Chakraborty, Noseong Park, Ayush Agarwal, V. S. Subrahmanian:
Ensemble Detection and Analysis of Communities in Complex Networks. Trans. Data Sci. 1(1): 2:1-2:34 (2020) - [c26]Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park:
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. ASONAM 2020: 204-211 - [p1]Jiwon Hong, Taeri Kim, Jing Liu, Noseong Park, Sang-Wook Kim:
Phishing URL Detection with Lexical Features and Blacklisted Domains. Adaptive Autonomous Secure Cyber Systems 2020: 253-267 - [e2]Noseong Park, Kun Sun, Sara Foresti, Kevin R. B. Butler, Nitesh Saxena:
Security and Privacy in Communication Networks - 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 335, Springer 2020, ISBN 978-3-030-63085-0 [contents] - [e1]Noseong Park, Kun Sun, Sara Foresti, Kevin R. B. Butler, Nitesh Saxena:
Security and Privacy in Communication Networks - 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 336, Springer 2020, ISBN 978-3-030-63094-2 [contents] - [i15]Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park:
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. CoRR abs/2001.08853 (2020) - [i14]Myeong Lee, Seongkyu Lee, Seonghoon Kim, Noseong Park:
Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions. CoRR abs/2006.16965 (2020) - [i13]Manh Tuan Do, Noseong Park, Kijung Shin:
Two-stage Training of Graph Neural Networks for Graph Classification. CoRR abs/2011.05097 (2020) - [i12]Thai Le, Noseong Park, Dongwon Lee:
SIENA: Stochastic Multi-Expert Neural Patcher. CoRR abs/2011.08908 (2020) - [i11]Thai Le, Noseong Park, Dongwon Lee:
Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR abs/2011.10492 (2020) - [i10]Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR abs/2012.02681 (2020)
2010 – 2019
- 2019
- [j10]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based overlapping community detection using disjoint community structures. Knowl. Based Syst. 163: 241-251 (2019) - [c25]Nasheen Nur, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu, Mary Lou Maher:
Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education. AIED (1) 2019: 370-382 - [c24]Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee:
Predicting Influence Probabilities using Graph Convolutional Networks. IEEE BigData 2019: 860-869 - [c23]Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon:
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. IEEE BigData 2019: 1181-1186 - [c22]Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian:
VASE: A Twitter-Based Vulnerability Analysis and Score Engine. ICDM 2019: 976-981 - [c21]Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian:
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. IJCAI 2019: 2074-2080 - [c20]Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian:
VEST: A System for Vulnerability Exploit Scoring & Timing. IJCAI 2019: 6503-6505 - [c19]Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian:
Using Twitter to Predict When Vulnerabilities will be Exploited. KDD 2019: 3143-3152 - [i9]Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan:
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. CoRR abs/1906.05929 (2019) - 2018
- [j9]Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian:
Hybrid adversarial defense: Merging honeypots and traditional security methods. J. Comput. Secur. 26(5): 615-645 (2018) - [j8]Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim:
Data Synthesis based on Generative Adversarial Networks. Proc. VLDB Endow. 11(10): 1071-1083 (2018) - [j7]Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian:
SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. ACM Trans. Internet Techn. 18(3): 30:1-30:41 (2018) - [j6]Francesco Parisi, Noseong Park, Andrea Pugliese, V. S. Subrahmanian:
Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases. ACM Trans. Web 12(4): 21:1-21:35 (2018) - [c18]Chuqin Li, Xi Niu, Ahmad Al-Doulat, Noseong Park:
A Computational Approach to Finding Contradictions in User Opinionated Text. ASONAM 2018: 351-356 - [c17]Sanghyun Hong, Noseong Park, Tanmoy Chakraborty, Hyunjoong Kang, Soonhyun Kwon:
PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding. BigData Congress 2018: 87-99 - [c16]Ankesh Anand, Kshitij Gorde, Joel Ruben Antony Moniz, Noseong Park, Tanmoy Chakraborty, Bei-Tseng Chu:
Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks. IEEE BigData 2018: 1168-1177 - [c15]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR 2018: 1343-1348 - [c14]Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon:
On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS 2018: 371-374 - [c13]David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. IJCAI 2018: 878-884 - [c12]Tanmoy Chakraborty, Zhe Cui, Noseong Park:
Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods. WWW (Companion Volume) 2018: 45-46 - [i8]David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. CoRR abs/1805.02481 (2018) - [i7]Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim:
Data Synthesis based on Generative Adversarial Networks. CoRR abs/1806.03384 (2018) - [i6]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based Overlapping Community Detection using Disjoint Community Structures. CoRR abs/1808.06200 (2018) - [i5]Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park:
GI-OHMS: Graphical Inference to Detect Overlapping Communities. CoRR abs/1810.01547 (2018) - 2017
- [j5]Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian:
A Probabilistic Logic of Cyber Deception. IEEE Trans. Inf. Forensics Secur. 12(11): 2532-2544 (2017) - [j4]Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian:
Data-Driven Frequency-Based Airline Profit Maximization. ACM Trans. Intell. Syst. Technol. 8(4): 61:1-61:28 (2017) - [c11]Ankesh Anand, Tanmoy Chakraborty, Noseong Park:
We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! ECIR 2017: 541-547 - [c10]Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park:
SENA: Preserving Social Structure for Network Embedding. HT 2017: 235-244 - [i4]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR abs/1707.08273 (2017) - [i3]Tanmoy Chakraborty, Noseong Park:
Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks. CoRR abs/1712.02370 (2017) - 2016
- [b1]Noseong Park:
Top-K Query Processing in Edge-Labeled Graph Data. University of Maryland, College Park, MD, USA, 2016 - [j3]Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian:
Using temporal probabilistic logic for optimal monitoring of security events with limited resources. J. Comput. Secur. 24(6): 735-791 (2016) - [c9]Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian:
Ensemble-based algorithms to detect disjoint and overlapping communities in networks. ASONAM 2016: 73-80 - [c8]Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian:
MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. KDD 2016: 421-430 - [c7]Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian:
Ensemble Models for Data-driven Prediction of Malware Infections. WSDM 2016: 583-592 - [i2]Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian:
Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks. CoRR abs/1609.04903 (2016) - [i1]Ankesh Anand, Tanmoy Chakraborty, Noseong Park:
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next! CoRR abs/1612.01340 (2016) - 2015
- [j2]Noseong Park, Edoardo Serra, V. S. Subrahmanian:
Saving Rhinos with Predictive Analytics. IEEE Intell. Syst. 30(4): 86-88 (2015) - [j1]Noseong Park, Edoardo Serra, Tom Snitch, V. S. Subrahmanian:
APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. IEEE Trans. Comput. Soc. Syst. 2(2): 15-37 (2015) - 2013
- [c6]Michael Ovelgönne, Noseong Park, V. S. Subrahmanian, Elizabeth K. Bowman, Kirk Ogaard:
Personalized Best Answer Computation in Graph Databases. ISWC (1) 2013: 478-493 - [c5]Noseong Park, Michael Ovelgönne, V. S. Subrahmanian:
SMAC: Subgraph Matching and Centrality in Huge Social Networks. SocialCom 2013: 134-141 - 2011
- [c4]Noseong Park, Bong Wan Kim, Yoonmee Doh, Jong Arm Jun:
A multi-access asynchronous low-power MAC based on preamble sampling for WSNs. ISCC 2011: 445-450
2000 – 2009
- 2005
- [c3]Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park:
Power-Aware Position Vector Routing for Wireless Sensor Networks. EUC Workshops 2005: 1148-1156 - [c2]Noseong Park, Daeyoung Kim, Jihoon Park, Yoonmee Doh:
Sub-network mobility analysis in wireless sensor networks. ICCCN 2005: 483-488 - [c1]Noseong Park, Daeyoung Kim, Yoonmee Doh, Sangsoo Lee, Ji-tae Kim:
An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks. RTCSA 2005: 387-393
Coauthor Index
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