Minyoung Kim

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 76

Top Venues

CoRR

Int. J. Fuzzy Log. Intell. Syst.

Appl. Intell.

Data Min. Knowl. Discov.

University of Arizona, Tucson, USA (PHD)

Education History

University of Arizona, Tucson, USA

PHD

Publications

Minyoung Kim, Chunhwan Lee
Improvement of Dynamic Characteristics of Purpose-Built Vehicles Using Semi-Active Suspension System. Sensors 24 (13) (2024)
Minyoung Kim, Timothy M. Hospedales
A Hierarchical Bayesian Model for Few-Shot Meta Learning. ICLR (2024)
Wontaeck Jung, Hyunggon Kim, Do-Bin Kim, Tae-Hyun Kim, Nam-Hee Lee, Dongjin Shin, Minyoung Kim, Youngsik Rho, Hun-Jong Lee, Yujin Hyun, Jaeyoung Park, Taekyung Kim, Hwiwon Kim, Gyeongwon Lee, Jisang Lee, Joonsuc Jang, Jungmin Park, Sion Kim, Su Chang Jeon, Suyong Kim, Jung-Ho Song, Min-Seok Kim, Taesung Lee, Byung-Kwan Chun, Tongsung Kim, Young Gyu Lee, Hokil Lee, Soowoong Lee, Hwaseok Lee, Dooho Cho, Sangwan Nam, Yeomyung Kim, Kunyong Yoon, Yoonjae Lee, Sunghoon Kim, Jungseok Hwang, Raehyun Song, Hyunsik Jang, Jae-Ick Son, Hongsoo Jeon, Myunghun Lee, Mookyung Lee, Kisung Kim, Eungsuk Lee, Myeong-Woo Lee, Sungkyu Jo, Chan Ho Kim, Jong Chul Park, Kyunghwa Yun, Soonock Seol, Ji-Ho Cho, Seungjae Lee, Jin-Yub Lee, Sunghoi Hur
13.3 A 280-Layer 1Tb 4b/cell 3D-NAND Flash Memory with a 28.5Gb/mm2 Areal Density and a 3.2GB/s High-Speed IO Rate. ISSCC (2024)
Minyoung Kim, Rawan Alghofaili, Changyang Li, Lap-Fai Yu
Dragon's Path: Synthesizing User-Centered Flying Creature Animation Paths for Outdoor Augmented Reality Experiences. SIGGRAPH (Conference Paper Track) (2024)
Dohun Kim, Minyoung Kim, Sarah Meng Li, Michele Mosca
Improving the Fidelity of CNOT Circuits on NISQ Hardware. CoRR (2024)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. CoRR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. ICLR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. CoRR (2023)
Hojun Jeong, Haemin Jung, Minyoung Kim, Jonghyun Kim
Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study. MetroXRAINE (2023)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. NeurIPS (2023)
Minyoung Kim, Timothy M. Hospedales
BayesTune: Bayesian Sparse Deep Model Fine-tuning. NeurIPS (2023)
Minyoung Kim, Timothy M. Hospedales
BayesDLL: Bayesian Deep Learning Library. CoRR (2023)
Mark-Oliver Stehr, Minyoung Kim
Vulnerability Clustering and other Machine Learning Applications of Semantic Vulnerability Embeddings. CoRR (2023)
Minyoung Kim, Timothy M. Hospedales
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning. CoRR (2023)
Minyoung Kim, Timothy M. Hospedales
FedHB: Hierarchical Bayesian Federated Learning. CoRR (2023)
Minyoung Kim
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval. AISTATS (2023)
Tae-su Wang, Minyoung Kim, Cubahiro Roland, Jongwook Jang
Research on Preprocessing Process for Improved Image Generation Based on Contrast Enhancement. BDTA (2023)
Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic
Variational Continual Proxy-Anchor for Deep Metric Learning. AISTATS (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR (2022)
Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott
A probabilistic approximate logic for neuro-symbolic learning and reasoning. J. Log. Algebraic Methods Program. 124 (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML (2022)
Natarajan Shankar, Devesh Bhatt, Michael D. Ernst, Minyoung Kim, Srivatsan Varadarajan, Suzanne Millstein, Jorge Navas, Jason Biatek, Huascar Sanchez, Anitha Murugesan, Hao Ren
DesCert: Design for Certification. CoRR (2022)
Minyoung Kim
Differentiable Expectation-Maximization for Set Representation Learning. ICLR (2022)
Varuni Sarwal, Sebastian Niehus, Ram Ayyala, Minyoung Kim, Aditya Sarkar, Sei Chang, Angela Lu, Neha Rajkumar, Nicholas Darfci-Maher, Russell Littman, Karishma Chhugani, Arda Soylev, Zoia Comarova, Emily Wesel, Jacqueline Castellanos, Rahul Chikka, Margaret G. Distler, Eleazar Eskin, Jonathan Flint, Serghei Mangul
A comprehensive benchmarking of WGS-based deletion structural variant callers. Briefings Bioinform. 23 (4) (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR (2022)
Vivek Nigam, Minyoung Kim, Ian A. Mason, Carolyn L. Talcott
Detection and diagnosis of deviations in distributed systems of autonomous agents. Math. Struct. Comput. Sci. 32 (9) (2022)
Minyoung Kim
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders. CVPR (2022)
Minyoung Kim, Vladimir Pavlovic
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach. CoRR (2021)
Minyoung Kim
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval. CoRR (2021)
Sekyung Park, Junkyu Park, Jongsik Ahn, Boram Cho, Suwoong Lee, Minyoung Kim
Three-Dimensional Foot Contact Position on a Smart Fitness Trampoline with a Upward Looking Wide View Imaging System. ICUFN (2021)
Minyoung Kim, Ok-Sik Chung, Jong-Koo Lee
A Manual for Monitoring Wild Boars (Sus scrofa) Using Thermal Infrared Cameras Mounted on an Unmanned Aerial Vehicle (UAV). Remote. Sens. 13 (20) (2021)
Minyoung Kim, Timothy M. Hospedales
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation. CoRR (2021)
Minyoung Kim
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture. CoRR (2021)
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. ACM Multimedia (2021)
Minyoung Kim, Young J. Kim
Synthesizing Human Faces Using Latent Space Factorization and Local Weights. CGI (2021)
Minyoung Kim, Young J. Kim
Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version). CoRR (2021)
Minyoung Kim, Vladimir Pavlovic
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. CoRR (2020)
Minyoung Kim, Vladimir Pavlovic
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. ICDM (2020)
Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. CoRR (2020)
Minyoung Kim, Vladimir Pavlovic
Recursive Inference for Variational Autoencoders. NeurIPS (2020)
Minyoung Kim, Jong-Wook Jang
A Study on Implementation of Multi-hop Network for LoRaWAN Communication. ICOIN (2020)
Minyoung Kim, Vladimir Pavlovic
Recursive Inference for Variational Autoencoders. CoRR (2020)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. CoRR (2019)
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang
Online Multi-Object Tracking with Dual Matching Attention Networks. CoRR (2019)
Behnam Gholami, Pritish Sahu, Minyoung Kim, Vladimir Pavlovic
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation. ICCV Workshops (2019)
Minyoung Kim
Large-margin learning of Cox proportional hazard models for survival analysis. Appl. Intell. 49 (5) (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Relevance Factor VAE: Learning and Identifying Disentangled Factors. CoRR (2019)
Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott, Merrill Knapp, Akos Vertes
Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine. CoRR (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Input. CoRR (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. CoRR (2019)
Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. ICCV (2019)
Minyoung Kim
Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization. Appl. Intell. 49 (10) (2019)
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
Efficient Deep Gaussian Process Models for Variable-Sized Inputs. IJCNN (2019)
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. CVPR (2019)
Minyoung Kim, Vladimir Pavlovic
Variational Inference for Gaussian Process Models for Survival Analysis. UAI (2018)
Minyoung Kim
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data. ICML (2018)
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang
Online Multi-Object Tracking with Dual Matching Attention Networks. ECCV (5) (2018)
Minyoung Kim
Dynamic sparse coding for sparse time-series modeling via first-order smooth optimization. Appl. Intell. 48 (11) (2018)
Minyoung Kim
A maximum-likelihood and moment-matching density estimator for crowd-sourcing label prediction. Appl. Intell. 48 (2) (2018)
Minyoung Kim
Mixtures of Conditional Random Fields for Improved Structured Output Prediction. IEEE Trans. Neural Networks Learn. Syst. 28 (5) (2017)
Di Wu, Dmitri I. Arkhipov, Minyoung Kim, Carolyn L. Talcott, Amelia C. Regan, Julie A. McCann, Nalini Venkatasubramanian
ADDSEN: Adaptive Data Processing and Dissemination for Drone Swarms in Urban Sensing. IEEE Trans. Computers 66 (2) (2017)
Minyoung Kim
Dual soft assignment clustering algorithm for human action video clustering. Comput. Vis. Image Underst. 155 (2017)
Minyoung Kim
Simultaneous Kernel Learning and Label Imputation for Pattern Classification with Partially Labeled Data. Int. J. Fuzzy Log. Intell. Syst. 17 (1) (2017)
Minyoung Kim
Simultaneous Learning of Sentence Clustering and Class Prediction for Improved Document Classification. Int. J. Fuzzy Log. Intell. Syst. 17 (1) (2017)
Minyoung Kim
Efficient histogram dictionary learning for text/image modeling and classification. Data Min. Knowl. Discov. 31 (1) (2017)
Daniel Elenius, Grit Denker, Minyoung Kim
Semantically Enhanced Virtual Learning Environments Using Sunflower. MTSR (2016)
Hyun Kyung Kim, Minyoung Kim
Model-induced term-weighting schemes for text classification. Appl. Intell. 45 (1) (2016)
Minyoung Kim
Adaptive Bayesian Object Tracking with Histograms of Dense Local Image Descriptors. Int. J. Fuzzy Log. Intell. Syst. 16 (2) (2016)
Minyoung Kim
Document Summarization via Convex-Concave Programming. Int. J. Fuzzy Log. Intell. Syst. 16 (4) (2016)
Minyoung Kim
Sparse conditional copula models for structured output regression. Pattern Recognit. 60 (2016)
Minyoung Kim, Stefano Alletto, Luca Rigazio
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking. CoRR (2016)
Minyoung Kim
Robust Algorithms for Combining Multiple Term Weighting Vectors for Document Classification. Int. J. Fuzzy Log. Intell. Syst. 16 (2) (2016)
Minyoung Kim
Sparse inverse covariance learning of conditional Gaussian mixtures for multiple-output regression. Appl. Intell. 44 (1) (2016)
Joshua Joy, Yu-Ting Yu, Mario Gerla, Ashish Gehani, Hasnain Lakhani, Minyoung Kim
Energy efficient, context-aware cache coding for mobile information-centric networks. DEBS (2016)
Sathiya Prabhu Kumar, Sylvain Lefebvre, Minyoung Kim, Mark-Oliver Stehr
Priority register: Application-defined replacement orderings for ad hoc reconciliation. IEEE BigData (2015)
Minyoung Kim, Luca Rigazio
Deep Clustered Convolutional Kernels. CoRR (2015)
Minyoung Kim, Luca Rigazio
Deep Clustered Convolutional Kernels. FE@NIPS (2015)
Minyoung Kim
Greedy ensemble learning of structured predictors for sequence tagging. Neurocomputing 150 (2015)
Minyoung Kim
Multiple-concept feature generative models for multi-label image classification. Comput. Vis. Image Underst. 136 (2015)
Minyoung Kim
Online Selective-Sample Learning of Hidden Markov Models for Sequence Classification. Int. J. Fuzzy Log. Intell. Syst. 15 (3) (2015)
Samuel B. Wood, James Mathewson, Joshua Joy, Mark-Oliver Stehr, Minyoung Kim, Ashish Gehani, Mario Gerla, Hamid R. Sadjadpour, J. J. Garcia-Luna-Aceves
ICEMAN: A Practical Architecture for Situational Awareness at the Network Edge. Logic, Rewriting, and Concurrency (2015)
Hasnain Lakhani, Timothy McCarthy, Minyoung Kim, David E. Wilkins, Samuel B. Wood
Evaluation of a delay-tolerant ICN architecture. ICUFN (2015)
Minyoung Kim
Greedy approaches to semi-supervised subspace learning. Pattern Recognit. 48 (4) (2015)
Minyoung Kim
Sparse discriminative region selection algorithm for face recognition. Appl. Intell. 42 (4) (2015)
Minyoung Kim
Robust Video-Based Barcode Recognition via Online Sequential Filtering. Int. J. Fuzzy Log. Intell. Syst. 14 (1) (2014)
Minyoung Kim
Conditional ordinal random fields for structured ordinal-valued label prediction. Data Min. Knowl. Discov. 28 (2) (2014)
Minyoung Kim
Discriminative Training of Sequence Taggers via Local Feature Matching. Int. J. Fuzzy Log. Intell. Syst. 14 (3) (2014)
Hua Li, Ralph Costantini, David Anhalt, Rafael Alonso, Mark-Oliver Stehr, Carolyn L. Talcott, Minyoung Kim, Timothy McCarthy, Samuel B. Wood
Adaptive Interest Modeling Enables Proactive Content Services at the Network Edge. UMAP Workshops (2014)
Minyoung Kim, Fernando De la Torre
Multiple instance learning via Gaussian processes. Data Min. Knowl. Discov. 28 (4) (2014)
Minyoung Kim
Greedy Learning of Sparse Eigenfaces for Face Recognition and Tracking. Int. J. Fuzzy Log. Intell. Syst. 14 (3) (2014)
Minyoung Kim
Probabilistic Sequence Translation-Alignment Model for Time-Series Classification. IEEE Trans. Knowl. Data Eng. 26 (2) (2014)
Minyoung Kim, I. Kim Wang
Dynamic product differentiation strategies: an examination of the interplay of firm and industry characteristics. Technol. Anal. Strateg. Manag. 26 (8) (2014)
Mark-Oliver Stehr, Minyoung Kim, Tim McCarthy
A Distributed Computing Model for Dataflow, Controlflow, and Workflow in Fractionated Cyber-Physical Systems. Computing with New Resources (2014)
Eric Gressier-Soudan, Isabelle Astic, Stéphane Natkin, J. Murray, Minyoung Kim, Carolyn L. Talcott, P. Gautier
SeCG: Serendipity enabled cyber games project. VRIC (2014)
Mark-Oliver Stehr, Minyoung Kim, Carolyn L. Talcott
Partially Ordered Knowledge Sharing and Fractionated Systems in the Context of other Models for Distributed Computing. Specification, Algebra, and Software (2014)
Hua Li, Ralph Costantini, David Anhalt, Rafael Alonso, Mark-Oliver Stehr, Carolyn L. Talcott, Minyoung Kim, Timothy McCarthy, Samuel B. Wood
Adaptive Interest Modeling Improves Content Services at the Network Edge. MILCOM (2014)
Minyoung Kim
Efficient Kernel Sparse Coding Via First-Order Smooth Optimization. IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Samuel B. Wood, James Mathewson, Joshua Joy, Mark-Oliver Stehr, Minyoung Kim, Ashish Gehani, Mario Gerla, Hamid R. Sadjadpour, J. J. Garcia-Luna-Aceves
ICEMAN: A System for Efficient, Robust and Secure Situational Awareness at the Network Edge. MILCOM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minyoung Kim