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Taehyeon Kim
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2020 – today
- 2024
- [j19]Taehyeon Kim, Donghyeon Lee, Man-Je Kim, Chang Wook Ahn:
Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States. IEEE Access 12: 93689-93700 (2024) - [j18]Jeong-Hyeok Park, Dong-Min Lee, Tae-Hyeon Kim, Tae-Sung Park, Jong-Ok Kim:
Multi-Band NIR-Based Low-Light Image Enhancement via Dual-Teacher Cross Attention. IEEE Access 12: 111360-111370 (2024) - [j17]Shimeng Yu, Tae-Hyeon Kim:
Semiconductor Memory Technologies: State-of-the-Art and Future Trends. Computer 57(4): 150-154 (2024) - [j16]Sangwook Youn, Yeongjin Hwang, Tae-Hyeon Kim, Sungjoon Kim, Hwiho Hwang, Jinwoo Park, Hyungjin Kim:
Threshold learning algorithm for memristive neural network with binary switching behavior. Neural Networks 176: 106355 (2024) - [c25]Yongjin Yang, Taehyeon Kim, Se-Young Yun:
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI 2024: 16370-16378 - [c24]Dong-Hoe Heo, Tae-Hyeon Kim, Kwang-Ho Lee, Min-Seong Choo:
An Analysis of 32-Gb/s and Full-Rate Phase Interpolator based Clock and Data Recovery. ICEIC 2024: 1-4 - [c23]Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR 2024 - [c22]Tae-Hyeon Kim, Yuan-Chun Luo, Omkar Phadke, James Read, Shimeng Yu:
Engineering nvCap From FEOL to BEOL with Ferroelectric Small-signal Non-destructive Read. IMW 2024: 1-4 - [i20]Taehyeon Kim, Donggyu Kim, Se-Young Yun:
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels. CoRR abs/2402.05353 (2024) - [i19]Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann:
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization. CoRR abs/2402.06974 (2024) - [i18]Taehyeon Kim, Byung-Cheol Min:
Semantic Layering in Room Segmentation via LLMs. CoRR abs/2403.12920 (2024) - [i17]Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton:
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts. CoRR abs/2404.09221 (2024) - [i16]Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun:
Block Transformer: Global-to-Local Language Modeling for Fast Inference. CoRR abs/2406.02657 (2024) - [i15]Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun:
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. CoRR abs/2406.16758 (2024) - 2023
- [j15]Sangwook Youn, Sungjoon Kim, Tae-Hyeon Kim, Jinwoo Park, Hyungjin Kim:
Memristor Crossbar Circuit for Ternary Content-Addressable Memory with Fine-Tuning Operation. Adv. Intell. Syst. 5(3) (2023) - [j14]Min Suk Song, Tae-Hyeon Kim, Hwiho Hwang, Suhyeon Ahn, Hussein Nili, Hyungjin Kim:
Optimization of Random Telegraph Noise Characteristics in Memristor for True Random Number Generator. Adv. Intell. Syst. 5(5) (2023) - [c21]Taehyeon Kim, Seho Park, Myeongseop Kim:
WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information. BDCAT 2023: 22:1-22:2 - [c20]Myeongseop Kim, Taehyeon Kim:
Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces. BDCAT 2023: 23:1-23:2 - [c19]Taehyeon Kim, Youjeong Na, Seho Park:
Multi-Head Convolutional Neural Network Compression based on High-Order Principal Component Analysis. ICEIC 2023: 1-4 - [c18]Taehyeon Kim, Seho Park, Kyungtaek Lee:
CLIMB: Computational Lane Identification using Multi-Objective Bayesian Optimization. ICTC 2023: 634-635 - [c17]Myeongseop Kim, Taehyeon Kim, Kyung-Taek Lee:
Digital Human Interaction Based on Mono Camera for Digital Twin. ICTC 2023: 641-643 - [c16]Taehyeon Kim, Seho Park, Kyung-Taek Lee:
Depth-Aware Feature Pyramid Network for Semantic Segmentation. ICUFN 2023: 487-490 - [c15]Myeongseop Kim, Kyung-Taek Lee, Seho Park, Taehyeon Kim:
Efficient Human Computer Interaction Pipeline for Mobile Devices. ISCIT 2023: 1-5 - [c14]Taehyeon Kim, Seho Park, KyungTaek Lee, Myeongseop Kim:
Deep Lane Detection Based on Kullback-Leibler Divergence. ISCIT 2023: 1-5 - [c13]Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan:
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. NeurIPS 2023 - [i14]Gyeongmin Kim, Taehyeon Kim, Shyam Sundar Kannan, Vishnunandan L. N. Venkatesh, Donghan Kim, Byung-Cheol Min:
DynaCon: Dynamic Robot Planner with Contextual Awareness via LLMs. CoRR abs/2309.16031 (2023) - [i13]Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan:
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection. CoRR abs/2310.17097 (2023) - [i12]Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR abs/2311.00233 (2023) - [i11]Yongjin Yang, Taehyeon Kim, Se-Young Yun:
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. CoRR abs/2312.11260 (2023) - 2022
- [j13]Joo-Yeon Jung, Sang-Ho Lee, Tae-Hyeon Kim, Myung-Min Oh, Jong-Ok Kim:
Shape Based Deep Estimation of Future Plant Images. IEEE Access 10: 4763-4776 (2022) - [j12]Taehyeon Kim, Heungjun Choi, Yoonsik Choe:
Automated Filter Pruning Based on High-Dimensional Bayesian Optimization. IEEE Access 10: 22547-22555 (2022) - [j11]Taehyeon Kim, Sang-Ho Lee, Jong-Ok Kim:
A Novel Shape Based Plant Growth Prediction Algorithm Using Deep Learning and Spatial Transformation. IEEE Access 10: 37731-37742 (2022) - [j10]Taehyeon Kim, Se-Young Yun:
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification. IEEE Access 10: 69741-69749 (2022) - [j9]Sungjoon Kim, Jinwoo Park, Tae-Hyeon Kim, Kyungho Hong, Yeongjin Hwang, Byung-Gook Park, Hyungjin Kim:
4-bit Multilevel Operation in Overshoot Suppressed Al2O3/TiOx Resistive Random-Access Memory Crossbar Array. Adv. Intell. Syst. 4(9) (2022) - [j8]Taehyeon Kim, Myunghyun Kim, Sungwoo Yang, Donghan Kim:
Navigation Path Based Universal Mobile Manipulator Integrated Controller (NUMMIC). Sensors 22(19): 7369 (2022) - [c12]Taehyeon Kim, Heungjun Choi, Yoonsik Choe:
Efficient Perceptual Loss based on Low-rank Tucker Decomposition. ICEIC 2022: 1-4 - [c11]Tae-Hyeon Kim, Sang-Ho Lee, Myung-Min Oh, Jong-Ok Kim:
Plant Growth Prediction Based on Hierarchical Auto-encoder. ICEIC 2022: 1-3 - [c10]Taehyeon Kim, Minwoo Kang, Sumin Kang, Donghan Kim:
Improvement of Door Recognition Algorithm using Lidar and RGB-D camera for Mobile Manipulator. SAS 2022: 1-6 - [i10]Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun:
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces. CoRR abs/2202.00893 (2022) - [i9]Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun:
SuperNet in Neural Architecture Search: A Taxonomic Survey. CoRR abs/2204.03916 (2022) - [i8]Taehyeon Kim, Se-Young Yun:
Supernet Training for Federated Image Classification under System Heterogeneity. CoRR abs/2206.01366 (2022) - [i7]Taehyeon Kim, Heesoo Myeong, Se-Young Yun:
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search. CoRR abs/2206.13130 (2022) - [i6]Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun:
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction. CoRR abs/2206.15241 (2022) - [i5]Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun:
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. CoRR abs/2212.02059 (2022) - 2021
- [j7]Taehyeon Kim, Yoonsik Choe:
Fast Circulant Tensor Power Method for High-Order Principal Component Analysis. IEEE Access 9: 62478-62492 (2021) - [j6]Dayoung Kim, Tae-Hyeon Kim, Yun-Yeong Choi, Geun-Ho Lee, Jungwon Lee, Wookyung Sun, Byung-Gook Park, Hyungjin Kim, Hyungsoon Shin:
Selected Bit-Line Current PUF: Implementation of Hardware Security Primitive Based on a Memristor Crossbar Array. IEEE Access 9: 120901-120910 (2021) - [j5]Dong-Gi Song, Sungho Choi, Taehyeon Kim, Kyung Young Jhang:
Compensation of a Second Harmonic Wave Included in an Incident Ultrasonic Wave for the Precise Measurement of the Acoustic Nonlinearity Parameter. Sensors 21(9): 3203 (2021) - [c9]Sangheum Lee, Taehyeon Kim, Myunghyun Kim, Donghan Kim:
Simultaneous control algorithm for mobile manipulator using MMPPE. ICEIC 2021: 1-3 - [c8]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. IJCAI 2021: 2628-2635 - [c7]Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil:
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) 2021: 292-313 - [c6]Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. NeurIPS 2021: 24137-24149 - [i4]Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. CoRR abs/2102.11628 (2021) - [i3]Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. CoRR abs/2105.08919 (2021) - 2020
- [j4]Taehyeon Kim, Jieun Lee, Yoonsik Choe:
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks. IEEE Access 8: 17605-17618 (2020) - [j3]Ji-Ho Ryu, Boram Kim, Fayyaz Hussain, Muhammad Ismail, Chandreswar Mahata, Teresa Oh, Muhammad Imran, Kyung Kyu Min, Tae-Hyeon Kim, Byung-Do Yang, Seongjae Cho, Byung-Gook Park, Yoon Kim, Sungjun Kim:
Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering. IEEE Access 8: 130678-130686 (2020) - [j2]Yeon-Joon Choi, Min-Hwi Kim, Suhyun Bang, Tae-Hyeon Kim, Dong Keun Lee, Kyungho Hong, Chae Soo Kim, Sungjun Kim, Seongjae Cho, Byung-Gook Park:
Insertion of Ag Layer in TiN/SiNx/TiN RRAM and Its Effect on Filament Formation Modeled by Monte Carlo Simulation. IEEE Access 8: 228720-228730 (2020) - [i2]Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun:
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. CoRR abs/2012.03270 (2020) - [i1]Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun:
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables. CoRR abs/2012.03501 (2020)
2010 – 2019
- 2019
- [c5]Taehyeon Kim, Jieun Lee, Yoonsik Choe:
Tensor Train Decomposition for Efficient Memory Saving in Perceptual Feature-Maps. ICCV Workshops 2019: 599-604 - [c4]Taehyeon Kim, Jonghyup Kim, Seyoung Yun:
Efficient Model for Image Classification With Regularization Tricks. NeurIPS (Competition and Demos) 2019: 13-26 - 2018
- [c3]Taehyeon Kim, Yoonsik Choe:
Real-time Background Subtraction via L1 Norm Tensor Decomposition. APSIPA 2018: 1963-1967
1990 – 1999
- 1999
- [j1]Tae-Hyeon Kim, Tai-Hoon Cho, Young Shik Moon, Sung-Han Park:
Visual inspection system for the classification of solder joints. Pattern Recognit. 32(4): 565-575 (1999) - 1996
- [c2]Tae-Hyeon Kim, Tai-Hoon Cho, Young Shik Moon, Sung-Han Park:
Automatic inspection of solder joints using layered illumination. ICIP (2) 1996: 645-648 - [c1]Tae-Hyeon Kim, Tai-Hoon Cho, Young Shik Moon, Sung-Han Park:
An automated visual inspection of solder joints using 2D and 3D features. WACV 1996: 110-115
Coauthor Index
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last updated on 2024-09-04 00:24 CEST by the dblp team
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