| 2026 | AAAI | Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. | Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park |
| 2026 | AAAI | How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts. | Sumin Park, Noseong Park |
| 2026 | ACL | Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation? | Hyowon Wi, Noseong Park |
| 2025 | AAAI | 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 |
| 2025 | ICLR | Neural Functions for Learning Periodic Signal. | Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park |
| 2025 | ICLR | Efficiently Parameterized Neural Metriplectic Systems. | Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask |
| 2025 | ICLR | PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. | Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park |
| 2025 | IJCAI | Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. | Hyowon Wi, Jeongwhan Choi, Noseong Park |
| 2025 | WSDM | SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. | Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | AAAI | Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. | Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park |
| 2024 | AAAI | An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. | Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park |
| 2024 | CIKM | Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. | Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang |
| 2024 | CIKM | Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. | Fan Wu, Woojin Cho, David Korotky, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee |
| 2024 | ICLR | PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images. | Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park |
| 2024 | ICLR | Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. | 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 | ICML | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. | Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | ICML | Polynomial-based Self-Attention for Table Representation Learning. | Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park |
| 2024 | ICML | Parameterized Physics-informed Neural Networks for Parameterized PDEs. | Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park |
| 2024 | ICML | DataFreeShield: Defending Adversarial Attacks without Training Data. | Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee |
| 2024 | IJCAI | SVD-AE: Simple Autoencoders for Collaborative Filtering. | Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park |
| 2024 | KDD | Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. | Sheo Yon Jhin, Seojin Kim, Noseong Park |
| 2024 | WSDM | Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. | Hyowon Wi, Yehjin Shin, Noseong Park |
| 2023 | AAAI | Learnable Path in Neural Controlled Differential Equations. | Sheo Yon Jhin, Minju Jo, Seungji Kook, Noseong Park |
| 2023 | CIKM | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. | Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park |
| 2023 | DAC | Fast Adversarial Training with Dynamic Batch-level Attack Control. | Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee |
| 2023 | ICLR | STaSy: Score-based Tabular data Synthesis. | Jayoung Kim, Chaejeong Lee, Noseong Park |
| 2023 | ICML | GREAD: Graph Neural Reaction-Diffusion Networks. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2023 | ICML | CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. | Chaejeong Lee, Jayoung Kim, Noseong Park |
| 2023 | IJCAI | Hawkes Process Based on Controlled Differential Equations. | Minju Jo, Seungji Kook, Noseong Park |
| 2023 | KDD | Precursor-of-Anomaly Detection for Irregular Time Series. | Sheo Yon Jhin, Jaehoon Lee, Noseong Park |
| 2023 | SIGIR | Blurring-Sharpening Process Models for Collaborative Filtering. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2022 | AAAI | Graph Neural Controlled Differential Equations for Traffic Forecasting. | Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park |
| 2022 | ACL | SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher. | Thai Le, Noseong Park, Dongwon Lee |
| 2022 | CCS | Phishing URL Detection: A Network-based Approach Robust to Evasion. | Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim |
| 2022 | CIKM | Prediction-based One-shot Dynamic Parking Pricing. | Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park |
| 2022 | CIKM | An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. | Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia |
| 2022 | CVPR | 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 |
| 2022 | DAC | 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 |
| 2022 | ICLR | LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. | Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Seungji Kook, Noseong Park |
| 2022 | KDD | SOS: Score-based Oversampling for Tabular Data. | Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho |
| 2022 | WWW | EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. | Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park |
| 2022 | WSDM | Linear, or Non-Linear, That is the Question! | Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim |
| 2021 | AAAI | DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. | Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park |
| 2021 | ACL | A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks. | Thai Le, Noseong Park, Dongwon Lee |
| 2021 | CIKM | LT-OCF: Learnable-Time ODE-based Collaborative Filtering. | Jeongwhan Choi, Jinsung Jeon, Noseong Park |
| 2021 | CIKM | LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. | Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song |
| 2021 | ICDM | Climate Modeling with Neural Diffusion Equations. | Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park |
| 2021 | ICDM | Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. | Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon |
| 2021 | ICML | A Novel Method to Solve Neural Knapsack Problems. | Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park |
| 2021 | KDD | ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. | Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park |
| 2021 | KDD | Large-Scale Data-Driven Airline Market Influence Maximization. | Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park |
| 2021 | WWW | OCT-GAN: Neural ODE-based Conditional Tabular GANs. | Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park |
| 2021 | SAC | Attention-based stress detection exploiting non-contact monitoring of movement patterns with IR-UWB radar. | Jonghoon Shin, Junhyung Moon, Beomsik Kim, Jihwan Eom, Noseong Park, Kyoungwoo Lee |
| 2021 | SDM | Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. | Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu |
| 2021 | SDM | Scalable Graph Synthesis with Adj and 1 - Adj. | Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, zlem Uzuner, Sushil Jajodia |
| 2019 | AIED | 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 |
| 2019 | ICDM | VASE: A Twitter-Based Vulnerability Analysis and Score Engine. | Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2019 | IJCAI | FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. | Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian |
| 2019 | IJCAI | VEST: A System for Vulnerability Exploit Scoring & Timing. | Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2019 | KDD | Using Twitter to Predict When Vulnerabilities will be Exploited. | Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2018 | ICPR | MMGAN: Manifold-Matching Generative Adversarial Networks. | Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim |
| 2018 | IJCAI | MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. | David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park |
| 2018 | ICWS | On Integrating Knowledge Graph Embedding into SPARQL Query Processing. | Hyunjoong Kang, Sanghyun Hong, Kookjin Lee, Noseong Park, Soonhyun Kwon |
| 2018 | WWW | Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods. | Tanmoy Chakraborty, Zhe Cui, Noseong Park |
| 2017 | ECIR | We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! | Ankesh Anand, Tanmoy Chakraborty, Noseong Park |
| 2016 | KDD | MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. | Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |
| 2016 | WSDM | Ensemble Models for Data-driven Prediction of Malware Infections. | Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian |
| 2011 | ISCC | A multi-access asynchronous low-power MAC based on preamble sampling for WSNs. | Noseong Park, Bong Wan Kim, Yoonmee Doh, Jong Arm Jun |
| 2005 | EUC | Power-Aware Position Vector Routing for Wireless Sensor Networks. | Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park |
| 2005 | ICCCN | Sub-network mobility analysis in wireless sensor networks. | Noseong Park, Daeyoung Kim, Jihoon Park, Yoonmee Doh |
| 2005 | RTCSA | An Optimal and Lightweight Routing for Minimum Energy Consumption in Wireless Sensor Networks. | Noseong Park, Daeyoung Kim, Yoonmee Doh, Sangsoo Lee, Ji-tae Kim |