Kyung-Min Kim

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Validation of real-time inside-out tracking and depth realization technologies for augmented reality-based neuronavigation.
Int. J. Comput. Assist. Radiol. Surg., January, 2024

PVS-GEN: Systematic Approach for Universal Synthetic Data Generation Involving Parameterization, Verification, and Segmentation.
Sensors, 2024

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions.
CoRR, 2024

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems.
CoRR, 2024

HyperCLOVA X Technical Report.
CoRR, 2024

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting.
CoRR, 2024

2023
Lossless Data Compression for Time-Series Sensor Data Based on Dynamic Bit Packing.
Sensors, October, 2023

A parallel-machine scheduling problem with an antithetical property to maximize total weighted early work.
4OR, September, 2023

Designing an offline reinforcement learning objective from scratch.
CoRR, 2023

Direct Preference-based Policy Optimization without Reward Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Law for Recommendation Models: Towards General-Purpose User Representations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Relation-Aware Language-Graph Transformer for Question Answering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Scheduling with generalized and periodic due dates under single- and two-machine environments.
Optim. Lett., 2022

A single machine scheduling with generalized and periodic due dates to minimize total deviation.
Discret. Appl. Math., 2022

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning.
CoRR, 2022

Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs.
CoRR, 2022

Ask Me What You Need: Product Retrieval using Knowledge from GPT-3.
CoRR, 2022

Deformable Graph Transformer.
CoRR, 2022

VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting.
CoRR, 2022

Hazard Gradient Penalty for Survival Analysis.
CoRR, 2022

Evolutionary Learning of Binary Neural Network Using a TaOx Memristor via Stochastic Stateful Logic.
Adv. Intell. Syst., 2022

Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Know Your Action Set: Learning Action Relations for Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A Large-Scale Ensemble Learning Framework for Demand Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Monolithic 3D stacked multiply-accumulate units.
Integr., 2021

Scaling Law for Recommendation Models: Towards General-purpose User Representations.
CoRR, 2021

One4all User Representation for Recommender Systems in E-commerce.
CoRR, 2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning.
CoRR, 2021

M2FN: Multi-step modality fusion for advertisement image assessment.
Appl. Soft Comput., 2021

A Parallel Machine Scheduling Problem Maximizing Total Weighted Early Work.
Asia Pac. J. Oper. Res., 2021

Estimating heterogeneous agent preferences by inverse optimization in a randomized nonatomic game.
Ann. Oper. Res., 2021

Memristive Stateful Logic for Edge Boolean Computers.
Adv. Intell. Syst., 2021

Learning Augmentation for GNNs With Consistency Regularization.
IEEE Access, 2021

Global-Local Item Embedding for Temporal Set Prediction.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Metropolis-Hastings Data Augmentation for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Intent-based Product Collections for E-commerce using Pretrained Language Models.
Proceedings of the 2021 International Conference on Data Mining, 2021

Have You Seen That Number? Investigating Extrapolation in Question Answering Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
WPA: Write Pattern Aware Hybrid Disk Buffer Management for Improving Lifespan of NAND Flash Memory.
IEEE Trans. Consumer Electron., 2020

Multi-Manifold Learning for Large-scale Targeted Advertising System.
CoRR, 2020

Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments.
CoRR, 2020

Two-Machine Ordered Flow Shop Scheduling with Generalized Due Dates.
Asia Pac. J. Oper. Res., 2020

A Stateful Logic Family Based on a New Logic Primitive Circuit Composed of Two Antiparallel Bipolar Memristors.
Adv. Intell. Syst., 2020

Parallel Operation of Self-Limited Analog Programming for Fast Array-Level Weight Programming and Update.
Adv. Intell. Syst., 2020

Stateful In-Memory Logic System and Its Practical Implementation in a TaO x -Based Bipolar-Type Memristive Crossbar Array.
Adv. Intell. Syst., 2020

A Universal Error Correction Method for Memristive Stateful Logic Devices for Practical Near-Memory Computing.
Adv. Intell. Syst., 2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A 1/3-Inch 1.12μm-Pitch 13Mpixel CMOS Image Sensor with a Low-Power Readout Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting.
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

2019
A Family of Stateful Memristor Gates for Complete Cascading Logic.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion.
CoRR, 2019

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

A High-Performance Processing-in-Memory Accelerator for Inline Data Deduplication.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Passengers' Gesture Recognition Model in Self-driving Vehicles : Gesture Recognition Model of the Passengers' Obstruction of the Vision of the Driver.
Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019

2018
Multimodal Dual Attention Memory for Video Story Question Answering.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Another Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

DeepStory: Video Story QA by Deep Embedded Memory Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Computing Interdisciplinarity of Scholarly Objects using an Author-Citation-Text Model.
Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 39th European Conference on Information Retrieval (ECIR 2017), 2017

A New Question Answering Approach with Conceptual Graphs.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

2016
A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Social Network Analysis of TV Drama Characters via Deep Concept Hierarchies.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Pororobot: A Deep Learning Robot That Plays Video Q&A Games.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Evolutionary concept learning from cartoon videos by multimodal hypernetworks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011
Fabrication of hybrid nanoparticle/CNT nanocomposite by self-assembly method via ionic interaction.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011

Geo-temporal Information Retrieval Based on Semantic Role Labeling and Rank Aggregation.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

2010
Automatic construction of a large-scale situation ontology by mining how-to instructions from the web.
J. Web Semant., 2010

A Game-based Evaluation Method for Subjective Tasks Involving Text Content Analysis.
Proceedings of the 3rd International Workshop on Evaluating Information Access, 2010

What aspects do people search in geo-referenced text?
Proceedings of the Third International Workshop on Location and the Web, 2010

Integer programming approach to PCB assembly optimization of modular mounters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2007
Human Body Modeling for Riding Comfort Simulation.
Proceedings of the Digital Human Modeling, 2007

2004
A novel multiple access scheme for uplink cellular systems.
Proceedings of the 60th IEEE Vehicular Technology Conference, 2004


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