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Linear, or Non-Linear, That is the Question!


Nov 14, 2021
Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim

* Accepted by WSDM 2022 

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Climate Modeling with Neural Diffusion Equations


Nov 11, 2021
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park

* Accepted by ICDM 2021 

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Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples


Nov 04, 2021
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee

* Accepted to Neurips 2021 

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Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting


Sep 04, 2021
Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park

* Accepted in ICDM 2021 

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LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising


Aug 18, 2021
Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song

* Accepted in CIKM 2021 

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LT-OCF: Learnable-Time ODE-based Collaborative Filtering


Aug 18, 2021
Jeongwhan Choi, Jinsung Jeon, Noseong Park

* Accepted by CIKM 2021 

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Large-Scale Data-Driven Airline Market Influence Maximization


May 31, 2021
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park

* Accepted by KDD 2021 

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OCT-GAN: Neural ODE-based Conditional Tabular GANs


May 31, 2021
Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park

* Accepted by WWW 2021 

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ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations


May 31, 2021
Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park

* Accepted by KDD 2021 

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DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation


Dec 04, 2020
Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park

* Accepted by AAAI 2021 

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Detecting Universal Trigger's Adversarial Attack with Honeypot


Nov 20, 2020
Thai Le, Noseong Park, Dongwon Lee


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SIENA: Stochastic Multi-Expert Neural Patcher


Nov 17, 2020
Thai Le, Noseong Park, Dongwon Lee


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Two-stage Training of Graph Neural Networks for Graph Classification


Nov 12, 2020
Manh Tuan Do, Noseong Park, Kijung Shin


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MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks


Jan 24, 2020
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park


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Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling


Jun 11, 2019
Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan


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MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation


May 08, 2018
David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park

* 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) 

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MMGAN: Manifold Matching Generative Adversarial Network


Apr 12, 2018
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim

* the 24th International Conference on Pattern Recognition (ICPR), 2018 

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We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!


Dec 05, 2016
Ankesh Anand, Tanmoy Chakraborty, Noseong Park

* Accepted to the European Conference on Information Retrieval (ECIR), 2017 

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