Noseong Park - RankMe

205 papers A* 50A 16B 9C 1Misc 1Journal 110Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. AAAI Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
2026	J	`jnl`	DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2026	J	`jnl`	Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation. CoRR Yehjin Shin, Seojin Kim, Noseong Park
2026	A*	`conf`	How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts. AAAI Sumin Park, Noseong Park
2025	J	`jnl`	Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. CoRR Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
2025	J	`jnl`	Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization? CoRR Jeongwhan Choi, Woosung Kang, Minseo Kim, Jongwoo Kim, Noseong Park
2025	J	`jnl`	Efficient Cell Painting Image Representation Learning via Cross-Well Aligned Masked Siamese Network. CoRR Pin-Jui Huang, Yu-Hsuan Liao, Sooheon Kim, Noseong Park, Jongbae Park, Dongmyung Shin
2025	A*	`conf`	Efficiently Parameterized Neural Metriplectic Systems. ICLR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2025	—	`conf`	FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features. BigComp Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park
2025	J	`jnl`	Graph-Based Representation Approach for Deep Learning of Organic Light-Emitting Diode Devices. Adv. Intell. Syst. Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, SeokWoo Lee, Noseong Park, Joon-Young Yang
2025	J	`jnl`	HINTS: Extraction of Human Insights from Time-Series Without External Sources. CoRR Sheo Yon Jhin, Noseong Park
2025	J	`jnl`	How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts. CoRR Sumin Park, Noseong Park
2025	J	`jnl`	Inductive influence estimation and maximization over unseen social networks under two diffusion models. Data Min. Knowl. Discov. Jihoon Ko, Sojeong Kim, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, Noseong Park
2025	A*	`conf`	Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. IJCAI Hyowon Wi, Jeongwhan Choi, Noseong Park
2025	J	`jnl`	Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. CoRR Hyowon Wi, Jeongwhan Choi, Noseong Park
2025	J	`jnl`	Learning Low Rank Neural Representations of Hyperbolic Wave Dynamics from Data. CoRR Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper
2025	A*	`conf`	MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. AAAI Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee
2025	A*	`conf`	Neural Functions for Learning Periodic Signal. ICLR Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
2025	J	`jnl`	Neural Functions for Learning Periodic Signal. CoRR Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
2025	J	`jnl`	PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling. CoRR Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee
2025	A*	`conf`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. ICLR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. CoRR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	Possibility for Proactive Anomaly Detection. CoRR Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park
2025	J	`jnl`	Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering. Artif. Intell. Medicine Yeon Uk Jeong, Jeongwhan Choi, Noseong Park, Jae Yong Ryu, Yi Rang Kim
2025	A	`ed.`	Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 CIKM Meeyoung Cha, Chanyoung Park, Noseong Park, Carl Yang, Senjuti Basu Roy, Jessie Li, Jaap Kamps, Kijung Shin, Bryan Hooi, Lifang He
2025	J	`jnl`	Report on the 34th ACM Conference on Information and Knowledge Management (CIKM 2025). SIGIR Forum Carl Yang, Senjuti Basu Roy, Zhenhui Jessie Li, Jaap Kamps, Meeyoung Cha, Chanyoung Park, Noseong Park
2025	A	`conf`	SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. WSDM Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2025	B	`conf`	TSGM: Regular and Irregular Time-Series Generation Using Score-Based Generative Models. IEEE Big Data Haksoo Lim, Jaehoon Lee, Sewon Park, Minjung Kim, Noseong Park
2025	J	`jnl`	TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models. CoRR Haksoo Lim, Jaehoon Lee, Sewon Park, Minjung Kim, Noseong Park
2025	J	`jnl`	TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation. CoRR Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park
2025	J	`jnl`	Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations. CoRR Uvini Balasuriya Mudiyanselage, Woojin Cho, Minju Jo, Noseong Park, Kookjin Lee
2024	A*	`conf`	Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. KDD Sheo Yon Jhin, Seojin Kim, Noseong Park
2024	J	`jnl`	Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. CoRR Sheo Yon Jhin, Seojin Kim, Noseong Park
2024	A*	`conf`	An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024	J	`jnl`	Attentive neural controlled differential equations for time-series classification and forecasting. Knowl. Inf. Syst. Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
2024	A	`conf`	Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CIKM Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang
2024	J	`jnl`	Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CoRR Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang
2024	A	`conf`	Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. WSDM Hyowon Wi, Yehjin Shin, Noseong Park
2024	A*	`conf`	DataFreeShield: Defending Adversarial Attacks without Training Data. ICML Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024	J	`jnl`	DataFreeShield: Defending Adversarial Attacks without Training Data. CoRR Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024	J	`jnl`	Efficiently Parameterized Neural Metriplectic Systems. CoRR Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
2024	J	`jnl`	FastLRNR and Sparse Physics Informed Backpropagation. CoRR Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper
2024	A*	`conf`	Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2024	J	`jnl`	Graph Signal Processing for Cross-Domain Recommendation. CoRR Jeongeun Lee, SeongKu Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
2024	A	`conf`	Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. CIKM Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
2024	A*	`conf`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR 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
2024	J	`jnl`	MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. CoRR Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park
2024	J	`jnl`	MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. CoRR Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee
2024	A*	`conf`	Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. AAAI Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2024	A*	`conf`	PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. ICLR Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2024	J	`jnl`	PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. CoRR Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
2024	A*	`conf`	PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024	J	`jnl`	PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024	A*	`conf`	Parameterized Physics-informed Neural Networks for Parameterized PDEs. ICML Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2024	J	`jnl`	Parameterized Physics-informed Neural Networks for Parameterized PDEs. CoRR Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2024	A*	`conf`	Polynomial-based Self-Attention for Table Representation Learning. ICML Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024	A*	`conf`	SVD-AE: Simple Autoencoders for Collaborative Filtering. IJCAI Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024	J	`jnl`	SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024	J	`jnl`	Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2023	J	`jnl`	An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023	A*	`conf`	Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2023	J	`jnl`	Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
2023	A*	`conf`	CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. ICML Chaejeong Lee, Jayoung Kim, Noseong Park
2023	J	`jnl`	CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. CoRR Chaejeong Lee, Jayoung Kim, Noseong Park
2023	J	`jnl`	Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. CoRR Hyowon Wi, Yehjin Shin, Noseong Park
2023	J	`jnl`	Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2023	A*	`conf`	Fast Adversarial Training with Dynamic Batch-level Attack Control. DAC Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
2023	A*	`conf`	GREAD: Graph Neural Reaction-Diffusion Networks. ICML Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2023	J	`jnl`	Graph Convolutions Enrich the Self-Attention in Transformers! CoRR Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2023	J	`jnl`	Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. Jeongwhan Choi, Noseong Park
2023	A*	`conf`	Hawkes Process Based on Controlled Differential Equations. IJCAI Minju Jo, Seungji Kook, Noseong Park
2023	J	`jnl`	Hawkes Process Based on Controlled Differential Equations. CoRR Minju Jo, Seungji Kook, Noseong Park
2023	A*	`conf`	Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. NeurIPS Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
2023	J	`jnl`	Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. CoRR Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
2023	A*	`conf`	Learnable Path in Neural Controlled Differential Equations. AAAI Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park
2023	J	`jnl`	Learnable Path in Neural Controlled Differential Equations. CoRR Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park, Sungpil Woo, Sunhwan Lim
2023	J	`jnl`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR 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
2023	B	`conf`	Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. IEEE Big Data Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023	A	`conf`	MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CIKM Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park
2023	J	`jnl`	MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. CoRR Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park
2023	J	`jnl`	Operator-learning-inspired Modeling of Neural Ordinary Differential Equations. CoRR Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park
2023	J	`jnl`	Polynomial-based Self-Attention for Table Representation learning. CoRR Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023	A*	`conf`	Precursor-of-Anomaly Detection for Irregular Time Series. KDD Sheo Yon Jhin, Jaehoon Lee, Noseong Park
2023	J	`jnl`	Precursor-of-Anomaly Detection for Irregular Time Series. CoRR Sheo Yon Jhin, Jaehoon Lee, Noseong Park
2023	J	`jnl`	RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
2023	J	`jnl`	Regular Time-series Generation using SGM. CoRR Haksoo Lim, Minjung Kim, Sewon Park, Noseong Park
2023	A*	`conf`	STaSy: Score-based Tabular data Synthesis. ICLR Jayoung Kim, Chaejeong Lee, Noseong Park
2023	J	`jnl`	Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment. Artif. Intell. Medicine JaeYeon Park, Kichang Lee, Noseong Park, Seng Chan You, JeongGil Ko
2023	J	`jnl`	Two-Stage Training of Graph Neural Networks for Graph Classification. Neural Process. Lett. Manh Tuan Do, Noseong Park, Kijung Shin
2023	—	`conf`	Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks. C&T Julia Hsin-Ping Hsu, Heejoo Shin, Noseong Park, Myeong Lee
2022	J	`jnl`	AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation. CoRR Suneghyeon Cho, Sanghyun Hong, Kookjin Lee, Noseong Park
2022	A	`conf`	An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CIKM Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia
2022	J	`jnl`	An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. CoRR Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia
2022	A*	`conf`	EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. WWW Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park
2022	J	`jnl`	EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park
2022	A*	`conf`	Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022	J	`jnl`	GREAD: Graph Neural Reaction-Diffusion Equations. CoRR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2022	A*	`conf`	GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. NeurIPS Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park
2022	J	`jnl`	GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks. CoRR Jinsung Jeon, Jeonghak Kim, Haryong Song, Seunghyeon Cho, Noseong Park
2022	A*	`conf`	Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
2022	J	`jnl`	Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis. CoRR Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
2022	A*	`conf`	It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022	J	`jnl`	It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022	A*	`conf`	LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. ICLR Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park
2022	J	`jnl`	LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. CoRR Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park
2022	A	`conf`	Linear, or Non-Linear, That is the Question! WSDM Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
2022	J	`jnl`	Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting. CoRR Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee
2022	J	`jnl`	Perturbation-Recovery Method for Recommendation. CoRR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2022	A*	`conf`	Phishing URL Detection: A Network-based Approach Robust to Evasion. CCS Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
2022	J	`jnl`	Phishing URL Detection: A Network-based Approach Robust to Evasion. CoRR Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim
2022	A	`conf`	Prediction-based One-shot Dynamic Parking Pricing. CIKM Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
2022	J	`jnl`	Prediction-based One-shot Dynamic Parking Pricing. CoRR Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
2022	—	`conf`	SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. ACL (1) Thai Le, Noseong Park, Dongwon Lee
2022	A*	`conf`	SOS: Score-based Oversampling for Tabular Data. KDD Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho
2022	J	`jnl`	SOS: Score-based Oversampling for Tabular Data. CoRR Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho
2022	J	`jnl`	SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations. CoRR Jinsung Jeon, Noseong Park
2022	J	`jnl`	STaSy: Score-based Tabular data Synthesis. CoRR Jayoung Kim, Chaejeong Lee, Noseong Park
2022	J	`jnl`	Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2022	B	`conf`	TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. IEEE Big Data Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
2022	J	`jnl`	TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho
2021	A*	`conf`	A Novel Method to Solve Neural Knapsack Problems. ICML Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park
2021	—	`conf`	A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. ACL/IJCNLP (1) Thai Le, Noseong Park, Dongwon Lee
2021	A*	`conf`	ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. KDD Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park
2021	J	`jnl`	ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. CoRR Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park
2021	Misc	`conf`	Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar. SAC Jonghoon Shin, Junhyung Moon, Beomsik Kim, Jihwan Eom, Noseong Park, Kyoungwoo Lee
2021	A*	`conf`	Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. ICDM Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
2021	J	`jnl`	Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. CoRR Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park
2021	A*	`conf`	Climate Modeling with Neural Diffusion Equations. ICDM Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	J	`jnl`	Climate Modeling with Neural Diffusion Equations. CoRR Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	A*	`conf`	DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. AAAI Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park
2021	J	`jnl`	Graph Neural Controlled Differential Equations for Traffic Forecasting. CoRR Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
2021	A*	`conf`	Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. NeurIPS Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
2021	A	`conf`	LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM Jeongwhan Choi, Jinsung Jeon, Noseong Park
2021	J	`jnl`	LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR Jeongwhan Choi, Jinsung Jeon, Noseong Park
2021	A*	`conf`	Large-Scale Data-Driven Airline Market Influence Maximization. KDD Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
2021	J	`jnl`	Large-Scale Data-Driven Airline Market Influence Maximization. CoRR Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
2021	A	`conf`	Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu
2021	J	`jnl`	LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising. CoRR Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song
2021	A	`conf`	LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. CIKM Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song
2021	J	`jnl`	Linear, or Non-Linear, That is the Question! CoRR Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
2021	A*	`conf`	OCT-GAN: Neural ODE-based Conditional Tabular GANs. WWW Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
2021	J	`jnl`	OCT-GAN: Neural ODE-based Conditional Tabular GANs. CoRR Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
2021	A*	`conf`	Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2021	J	`jnl`	Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2021	A	`conf`	Scalable Graph Synthesis with Adj and 1 - Adj. SDM Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Özlem Uzuner, Sushil Jajodia
2020	J	`jnl`	DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. CoRR Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park
2020	J	`jnl`	Detecting Universal Trigger's Adversarial Attack with Honeypot. CoRR Thai Le, Noseong Park, Dongwon Lee
2020	J	`jnl`	Ensemble Detection and Analysis of Communities in Complex Networks. Trans. Data Sci. Tanmoy Chakraborty, Noseong Park, Ayush Agarwal, V. S. Subrahmanian
2020	J	`jnl`	Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions. CoRR Myeong Lee, Seongkyu Lee, Seonghoon Kim, Noseong Park
2020	J	`jnl`	Incremental community discovery via latent network representation and probabilistic inference. Knowl. Inf. Syst. Zhe Cui, Noseong Park, Tanmoy Chakraborty
2020	B	`conf`	MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. ASONAM Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
2020	J	`jnl`	MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. CoRR Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
2020	—	`ch.`	Phishing URL Detection with Lexical Features and Blacklisted Domains. Adaptive Autonomous Secure Cyber Systems Jiwon Hong, Taeri Kim, Jing Liu, Noseong Park, Sang-Wook Kim
2020	J	`jnl`	SIENA: Stochastic Multi-Expert Neural Patcher. CoRR Thai Le, Noseong Park, Dongwon Lee
2020	—	`ed.`	Security and Privacy in Communication Networks - 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part I SecureComm (1) Noseong Park, Kun Sun, Sara Foresti, Kevin R. B. Butler, Nitesh Saxena
2020	—	`ed.`	Security and Privacy in Communication Networks - 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part II SecureComm (2) Noseong Park, Kun Sun, Sara Foresti, Kevin R. B. Butler, Nitesh Saxena
2020	J	`jnl`	Top-k user-specified preferred answers in massive graph databases. Data Knowl. Eng. Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian
2020	J	`jnl`	Two-stage Training of Graph Neural Networks for Graph Classification. CoRR Manh Tuan Do, Noseong Park, Kijung Shin
2019	J	`jnl`	Ensemble-based overlapping community detection using disjoint community structures. Knowl. Based Syst. Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park
2019	A*	`conf`	FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. IJCAI Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian
2019	—	`conf`	Predicting Influence Probabilities using Graph Convolutional Networks. IEEE BigData Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee
2019	J	`jnl`	Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. CoRR Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan
2019	—	`conf`	Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education. AIED (1) Nasheen Nur, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu, Mary Lou Maher
2019	—	`conf`	Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. IEEE BigData Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon
2019	A*	`conf`	Using Twitter to Predict When Vulnerabilities will be Exploited. KDD Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian
2019	A*	`conf`	VASE: A Twitter-Based Vulnerability Analysis and Score Engine. ICDM Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian
2019	A*	`conf`	VEST: A System for Vulnerability Exploit Scoring & Timing. IJCAI Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian
2018	B	`conf`	A Computational Approach to Finding Contradictions in User Opinionated Text. ASONAM Chuqin Li, Xi Niu, Ahmad Al-Doulat, Noseong Park
2018	J	`jnl`	Data Synthesis based on Generative Adversarial Networks. CoRR Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim
2018	J	`jnl`	Data Synthesis based on Generative Adversarial Networks. Proc. VLDB Endow. Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim
2018	J	`jnl`	Ensemble-based Overlapping Community Detection using Disjoint Community Structures. CoRR Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park
2018	J	`jnl`	GI-OHMS: Graphical Inference to Detect Overlapping Communities. CoRR Nasheen Nur, Wenwen Dou, Xi Niu, Siddharth Krishnan, Noseong Park
2018	J	`jnl`	Hybrid adversarial defense: Merging honeypots and traditional security methods. J. Comput. Secur. Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian
2018	A*	`conf`	MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. IJCAI David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018	J	`jnl`	MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. CoRR David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018	B	`conf`	MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim
2018	—	`conf`	Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods. WWW (Companion Volume) Tanmoy Chakraborty, Zhe Cui, Noseong Park
2018	A	`conf`	On Integrating Knowledge Graph Embedding into SPARQL Query Processing. ICWS Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon
2018	—	`conf`	PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding. BigData Congress Sanghyun Hong, Noseong Park, Tanmoy Chakraborty, Hyunjoong Kang, Soonhyun Kwon
2018	—	`conf`	Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks. IEEE BigData Ankesh Anand, Kshitij Gorde, Joel Ruben Antony Moniz, Noseong Park, Tanmoy Chakraborty, Bei-Tseng Chu
2018	J	`jnl`	SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. ACM Trans. Internet Techn. Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian
2018	J	`jnl`	Top-k User-Defined Vertex Scoring Queries in Edge-Labeled Graph Databases. ACM Trans. Web Francesco Parisi, Noseong Park, Andrea Pugliese, V. S. Subrahmanian
2017	J	`jnl`	A Probabilistic Logic of Cyber Deception. IEEE Trans. Inf. Forensics Secur. Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian
2017	J	`jnl`	Data-Driven Frequency-Based Airline Profit Maximization. ACM Trans. Intell. Syst. Technol. Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
2017	J	`jnl`	Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks. CoRR Tanmoy Chakraborty, Noseong Park
2017	J	`jnl`	MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim
2017	—	`conf`	SENA: Preserving Social Structure for Network Embedding. HT Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park
2017	A	`conf`	We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! ECIR Ankesh Anand, Tanmoy Chakraborty, Noseong Park
2016	A	`conf`	Ensemble Models for Data-driven Prediction of Malware Infections. WSDM Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian
2016	J	`jnl`	Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks. CoRR Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian
2016	B	`conf`	Ensemble-based algorithms to detect disjoint and overlapping communities in networks. ASONAM Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian
2016	A*	`conf`	MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. KDD Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
2016	—	`—`	Top-K Query Processing in Edge-Labeled Graph Data. Noseong Park
2016	J	`jnl`	Using temporal probabilistic logic for optimal monitoring of security events with limited resources. J. Comput. Secur. Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian
2016	J	`jnl`	We used Neural Networks to Detect Clickbaits: You won't believe what happened Next! CoRR Ankesh Anand, Tanmoy Chakraborty, Noseong Park
2015	J	`jnl`	APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. IEEE Trans. Comput. Soc. Syst. Noseong Park, Edoardo Serra, Tom Snitch, V. S. Subrahmanian
2015	J	`jnl`	Saving Rhinos with Predictive Analytics. IEEE Intell. Syst. Noseong Park, Edoardo Serra, V. S. Subrahmanian
2013	—	`conf`	Personalized Best Answer Computation in Graph Databases. ISWC (1) Michael Ovelgönne, Noseong Park, V. S. Subrahmanian, Elizabeth K. Bowman, Kirk Ogaard
2013	—	`conf`	SMAC: Subgraph Matching and Centrality in Huge Social Networks. SocialCom Noseong Park, Michael Ovelgönne, V. S. Subrahmanian
2011	C	`conf`	A multi-access asynchronous low-power MAC based on preamble sampling for WSNs. ISCC Noseong Park, Bong Wan Kim, Yoonmee Doh, Jong Arm Jun
2005	B	`conf`	An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks. RTCSA Noseong Park, Daeyoung Kim, Yoonmee Doh, Sangsoo Lee, Ji-Tae Kim
2005	—	`conf`	Power-Aware Position Vector Routing for Wireless Sensor Networks. EUC Workshops Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park
2005	B	`conf`	Sub-network mobility analysis in wireless sensor networks. ICCCN Noseong Park, Daeyoung Kim, Jihoon Park, Yoonmee Doh