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2020 – today
- 2024
[c35]Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI 2024: 13355-13364- [c34]Jinwook Kim
, Taesu Kim, Jeongmi Lee:
VR-SSVEPeripheral: Designing Virtual Reality Friendly SSVEP Stimuli using Peripheral Vision Area for Immersive and Comfortable Experience. CHI Extended Abstracts 2024: 364:1-364:7 - [c33]Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim:
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. ICML 2024 - [i17]Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim:
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. CoRR abs/2402.09025 (2024) - [i16]Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim:
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR abs/2402.10076 (2024) - [i15]Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim:
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. CoRR abs/2406.12311 (2024) - 2023
- [j13]Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim:
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3327-3337 (2023) - [c32]Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk:
Affective Role of the Future Autonomous Vehicle Interior. AutomotiveUI (Adjunct Proceedings) 2023: 7-12 - [c31]Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim:
Cross-Speaker Emotion Transfer by Manipulating Speech Style Latents. ICASSP 2023: 1-5 - [c30]Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim:
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS 2023 - [c29]Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim:
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV 2023: 2409-2418 - [i14]Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim:
Cross-speaker Emotion Transfer by Manipulating Speech Style Latents. CoRR abs/2303.08329 (2023) - [i13]Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR abs/2306.02272 (2023) - [i12]Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim:
Squeezing Large-Scale Diffusion Models for Mobile. CoRR abs/2307.01193 (2023) - 2022
- [j12]Taesu Kim, Gyunpyo Lee, Minjung Park, Hong Min Lee, Ji-Woo Park, Hyeon-Jeong Suk:
User Responses to Dynamic Light in Automobiles With EEG and Self-Assessments. IEEE Access 10: 123847-123857 (2022) - [j11]Taesu Kim, Aigerim Shunayeva, Gyunpyo Lee, Hyeon-Jeong Suk:
Sketching in-vehicle ambient lighting in virtual reality with the Wizard-of-Oz method. Digit. Creativity 33(1): 49-63 (2022) - [j10]Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim:
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits 57(6): 1924-1935 (2022) - [c28]Donggun Lee, Taesu Kim, Hyeon-Jeong Suk:
Pokemon color adjustments for augmented reality contents. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2022: 377:1-377:4 - [c27]Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk:
GP22: A Car Styling Dataset for Automotive Designers. CVPR Workshops 2022: 2267-2271 - [c26]Jaesung Tae, Hyeongju Kim, Taesu Kim:
EdiTTS: Score-based Editing for Controllable Text-to-Speech. INTERSPEECH 2022: 421-425 - [c25]Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim:
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. INTERSPEECH 2022: 2313-2317 - [i11]Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk:
GP22: A Car Styling Dataset for Automotive Designers. CoRR abs/2207.01760 (2022) - [i10]Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim:
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. CoRR abs/2207.06000 (2022) - [i9]Taesu Kim, Kyungah Choi, Hyeon-Jeong Suk:
Affective responses to chromatic ambient light in a vehicle. CoRR abs/2209.10761 (2022) - [i8]Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk:
Affective Role of the Future Autonomous Vehicle Interior. CoRR abs/2209.10764 (2022) - [i7]Taesu Kim, Seungheon Doh, Gyunpyo Lee, Hyungseok Jeon, Juhan Nam, Hyeon-Jeong Suk:
Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. CoRR abs/2211.03371 (2022) - 2021
- [c24]Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim:
SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. DATE 2021: 663-666 - [i6]Jaesung Tae, Hyeongju Kim, Taesu Kim:
EdiTTS: Score-based Editing for Controllable Text-to-Speech. CoRR abs/2110.02584 (2021) - 2020
- [c23]Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim:
A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC 2020: 1-4 - [c22]Taesu Kim, Daehyun Ahn, Jae-Joon Kim:
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. FPGA 2020: 326 - [c21]Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim:
Time-step interleaved weight reuse for LSTM neural network computing. ISLPED 2020: 13-18
2010 – 2019
- 2019
- [c20]Jongeun Koo, Eunhwan Kim, Seunghyun Yoo, Taesu Kim, Sungju Ryu, Jae-Joon Kim:
Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping. A-SSCC 2019: 223-226 - [c19]Younggun Lee, Taesu Kim:
Robust and Fine-grained Prosody Control of End-to-end Speech Synthesis. ICASSP 2019: 5911-5915 - [c18]Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim:
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) 2019 - [c17]Taesu Kim, EunJin Kim, Hyeon-Jeong Suk:
Illuminant Estimation Through Reverse Calibration of an Auto White-Balanced Image That Contains Displays. CIC 2019: 339-343 - [c16]Suwon Shon, Younggun Lee, Taesu Kim:
Large-Scale Speaker Retrieval on Random Speaker Variability Subspace. INTERSPEECH 2019: 2963-2967 - [c15]Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim:
Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array. VLSI Circuits 2019: 118- - 2018
- [j9]Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim:
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. ACM J. Emerg. Technol. Comput. Syst. 14(2): 15:1-15:17 (2018) - [j8]Kyungah Choi, Taesu Kim, Jeonghwan Chang, Hyeon-Jeong Suk:
True White Point for Television Screens Across Different Viewing Conditions. IEEE Trans. Consumer Electron. 64(3): 292-300 (2018) - [c14]Kyeong-Ah Jeong, EunJin Kim, Taesu Kim, Hyeon-Jeong Suk:
c.light: A Tool for Exploring Light Properties in Early Design Stage. CHI 2018: 602 - [c13]Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim:
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) 2018 - [i5]Younggun Lee, Taesu Kim, Soo-Young Lee:
Voice Imitating Text-to-Speech Neural Networks. CoRR abs/1806.00927 (2018) - [i4]Younggun Lee, Taesu Kim:
Robust and fine-grained prosody control of end-to-end speech synthesis. CoRR abs/1811.02122 (2018) - [i3]Younggun Lee, Taesu Kim:
Learning pronunciation from a foreign language in speech synthesis networks. CoRR abs/1811.09364 (2018) - [i2]Suwon Shon, Younggun Lee, Taesu Kim:
Large-scale Speaker Retrieval on Random Speaker Variability Subspace. CoRR abs/1811.10812 (2018) - 2017
- [c12]Sungrack Yun, Hye Jin Jang, Taesu Kim:
Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. INTERSPEECH 2017: 2824-2828 - [i1]Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim:
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR abs/1703.10642 (2017) - 2014
- [c11]Taesu Kim, Dali Zhao, Alexander V. Veidenbaum:
Multiple stream tracker: a new hardware stride prefetcher. Conf. Computing Frontiers 2014: 34:1-34:10 - 2012
- [c10]Nam Duong, Taesu Kim, Dali Zhao, Alexander V. Veidenbaum:
Revisiting level-0 caches in embedded processors. CASES 2012: 171-180 - [c9]Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum:
Improving Cache Management Policies Using Dynamic Reuse Distances. MICRO 2012: 389-400 - 2011
- [c8]Hyukmin Kwon, Taesu Kim, Song Jin Yu, Huy Kang Kim:
Self-similarity Based Lightweight Intrusion Detection Method for Cloud Computing. ACIIDS (2) 2011: 353-362 - 2010
- [j7]Taesu Kim:
Real-Time Independent Vector Analysis for Convolutive Blind Source Separation. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1431-1438 (2010) - [c7]Ho Seon Shin, Min-Seok Choi, Taesu Kim, Hong-Goo Kang:
Binaural loudness based speech reinforcement with a closed-form solution. ICASSP 2010: 4274-4277
2000 – 2009
- 2007
- [j6]Intae Lee, Taesu Kim, Te-Won Lee:
Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process. 87(8): 1859-1871 (2007) - [j5]Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee:
Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Trans. Speech Audio Process. 15(1): 70-79 (2007) - [c6]Jaehyung Lee, Taesu Kim, Soo-Young Lee:
Robust Independent Component Analysis Using Quadratic Negentropy. ICA 2007: 227-235 - [p1]Intae Lee, Taesu Kim, Te-Won Lee:
Independent Vector Analysis for Convolutive Blind Speech Separation. Blind Speech Separation 2007: 169-192 - 2006
- [j4]Torbjørn Eltoft, Taesu Kim, Te-Won Lee:
On the multivariate Laplace distribution. IEEE Signal Process. Lett. 13(5): 300-303 (2006) - [c5]Taesu Kim, Torbjørn Eltoft, Te-Won Lee:
Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA 2006: 165-172 - [c4]Intae Lee, Taesu Kim, Te-Won Lee:
Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA 2006: 625-632 - [c3]Torbjørn Eltoft, Taesu Kim, Te-Won Lee:
Multivariate Scale Mixture of Gaussians Modeling. ICA 2006: 799-806 - [c2]Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) 2006: 677-680 - 2005
- [j3]Taesu Kim, Soo-Young Lee:
Learning self-organized topology-preserving complex speech features at primary auditory cortex. Neurocomputing 65-66: 793-800 (2005) - [c1]Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. ICASSP (5) 2005: 525-528 - 2004
- [j2]Hyung-Min Park, Jong-Hwan Lee, Taesu Kim, Un-Min Bae, Byung Taek Kim, Ki-Young Park, Chang-Min Kim, Soo-Young Lee:
Modeling Auditory Pathway for Intelligent Information Acquisition. Int. J. Inf. Acquis. 1(4): 345-356 (2004) - 2003
- [j1]Chang-Min Kim, Hyung-Min Park, Taesu Kim, Yoon-Kyung Choi, Soo-Young Lee:
FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling. IEEE Trans. Neural Networks 14(5): 1038-1046 (2003)
Coauthor Index
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last updated on 2024-09-04 00:30 CEST by the dblp team
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