Youngmin Oh

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

Bibliography

2025

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration.

[BibT_eX]

[DOI]

CoRR, June, 2025

100-112-Gb/s 1.6-Vppd PAM-8 Transmitters With High-Swing 3 + 1 Hybrid FFE Taps in 40-nm Technology.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, February, 2025

Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers.

[BibT_eX]

[DOI]

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions.

[BibT_eX]

[DOI]

Youngmin Oh

Hyunju Lee

Bumsub Ham

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A 100-Gb/s PAM-8 Transmitter With 3-Tap FFE and High-Swing Hybrid Driver in 40-nm CMOS Technology.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

A 28-Gb/s Single-Ended PAM-4 Receiver With T-Coil-Integrated Continuous-Time Linear Equalizer in 40-nm CMOS Technology.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis.

[BibT_eX]

[DOI]

Youngmin Oh

Sensors, March, 2024

Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation.

[BibT_eX]

[DOI]

Sensors, 2024

PLoPS: Localization-aware person search with prototypical normalization.

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[DOI]

Pattern Recognit., 2024

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling.

[BibT_eX]

[DOI]

CoRR, 2024

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

uLift: Adaptive Workout Tracker Using a Single Wrist-Worn Accelerometer.

[BibT_eX]

[DOI]

Jongkuk Lim

Youngmin Oh

Younggeun Choi

IEEE Access, 2024

Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning.

[BibT_eX]

[DOI]

Kyu Ri Park

Youngmin Oh

Jung Uk Kim

Proceedings of the IEEE International Conference on Acoustics, 2024

FYI: Flip Your Images for Dataset Distillation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

CRONuS: Circuit Rapid Optimization with Neural Simulator.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Analysis of Grounded Coplanar Waveguide (GCPW) for High-Speed Links Channel.

[BibT_eX]

[DOI]

Youngmin Oh

Taeyang Sim

Jaeduk Han

Proceedings of the 20th International SoC Design Conference, 2023

ACLS: Adaptive and Conditional Label Smoothing for Network Calibration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing.

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[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

Youngmin Oh

Donghyeon Baek

Bumsub Ham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model-augmented Prioritized Experience Replay.

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[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Model-Augmented Q-learning.

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[DOI]

CoRR, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Donghyeon Baek

Youngmin Oh

Bumsub Ham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Youngmin Oh

Beomjun Kim

Bumsub Ham

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Visual Question Answering over Scene Graph.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Graph Computing, 2019

2018

Training Deep Neural Network in Limited Precision.

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[DOI]

CoRR, 2018

2016

Stability, Instability, and Bifurcation in Electrified Thin Films.

[BibT_eX]

[DOI]

Marco A. Fontelos

Hyung Ju Hwang

Youngmin Oh

SIAM J. Math. Anal., 2016

Optimal Schedules in Multitask Motor Learning.

[BibT_eX]

[DOI]

Neural Comput., 2016

Youngmin Oh

Bibliography

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