Taesu Kim

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 46

Top Topics

Speech Synthesis

Compression Ratio

Emotion Recognition

Top Venues

Publications

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 (2024)
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)
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)
Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. CoRR (2024)
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 (2024)
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) (2023)
Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV (2023)
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR (2023)
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)
Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim
Cross-Speaker Emotion Transfer by Manipulating Speech Style Latents. ICASSP (2023)
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 (2023)
Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim
Cross-speaker Emotion Transfer by Manipulating Speech Style Latents. CoRR (2023)
Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk
Affective Role of the Future Autonomous Vehicle Interior. AutomotiveUI (Adjunct Proceedings) (2023)
Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk
GP22: A Car Styling Dataset for Automotive Designers. CVPR Workshops (2022)
Taesu Kim, Kyungah Choi, Hyeon-Jeong Suk
Affective responses to chromatic ambient light in a vehicle. CoRR (2022)
Donggun Lee, Taesu Kim, Hyeon-Jeong Suk
Pokemon color adjustments for augmented reality contents. Color Imaging: Displaying, Processing, Hardcopy, and Applications (2022)
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 (2022)
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) (2022)
Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk
Affective Role of the Future Autonomous Vehicle Interior. CoRR (2022)
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) (2022)
Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk
GP22: A Car Styling Dataset for Automotive Designers. CoRR (2022)
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)
Jaesung Tae, Hyeongju Kim, Taesu Kim
EdiTTS: Score-based Editing for Controllable Text-to-Speech. INTERSPEECH (2022)
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 (2022)
Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. CoRR (2022)
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)
Jaesung Tae, Hyeongju Kim, Taesu Kim
EdiTTS: Score-based Editing for Controllable Text-to-Speech. CoRR (2021)
Taesu Kim, Daehyun Ahn, Jae-Joon Kim
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. FPGA (2020)
Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim
Time-step interleaved weight reuse for LSTM neural network computing. ISLPED (2020)
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)
Younggun Lee, Taesu Kim
Robust and Fine-grained Prosody Control of End-to-end Speech Synthesis. ICASSP (2019)
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)
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)
Taesu Kim, EunJin Kim, Hyeon-Jeong Suk
Illuminant Estimation Through Reverse Calibration of an Auto White-Balanced Image That Contains Displays. CIC (2019)
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)
Suwon Shon, Younggun Lee, Taesu Kim
Large-Scale Speaker Retrieval on Random Speaker Variability Subspace. INTERSPEECH (2019)
Younggun Lee, Taesu Kim, Soo-Young Lee
Voice Imitating Text-to-Speech Neural Networks. CoRR (2018)
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) (2018)
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)
Younggun Lee, Taesu Kim
Learning pronunciation from a foreign language in speech synthesis networks. CoRR (2018)
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) (2018)
Suwon Shon, Younggun Lee, Taesu Kim
Large-scale Speaker Retrieval on Random Speaker Variability Subspace. CoRR (2018)
Younggun Lee, Taesu Kim
Robust and fine-grained prosody control of end-to-end speech synthesis. CoRR (2018)
Kyeong-Ah Jeong, EunJin Kim, Taesu Kim, Hyeon-Jeong Suk
c.light: A Tool for Exploring Light Properties in Early Design Stage. CHI (2018)
Sungrack Yun, Hye Jin Jang, Taesu Kim
Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. INTERSPEECH (2017)
Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR (2017)
Taesu Kim, Dali Zhao, Alexander V. Veidenbaum
Multiple stream tracker: a new hardware stride prefetcher. Conf. Computing Frontiers (2014)
Nam Duong, Taesu Kim, Dali Zhao, Alexander V. Veidenbaum
Revisiting level-0 caches in embedded processors. CASES (2012)
Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum
Improving Cache Management Policies Using Dynamic Reuse Distances. MICRO (2012)
Hyukmin Kwon, Taesu Kim, Song Jin Yu, Huy Kang Kim
Self-similarity Based Lightweight Intrusion Detection Method for Cloud Computing. ACIIDS (2) (2011)
Taesu Kim
Real-Time Independent Vector Analysis for Convolutive Blind Source Separation. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2010)
Ho Seon Shin, Min-Seok Choi, Taesu Kim, Hong-Goo Kang
Binaural loudness based speech reinforcement with a closed-form solution. ICASSP (2010)
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) (2007)
Jaehyung Lee, Taesu Kim, Soo-Young Lee
Robust Independent Component Analysis Using Quadratic Negentropy. ICA (2007)
Intae Lee, Taesu Kim, Te-Won Lee
Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process. 87 (8) (2007)
Torbjørn Eltoft, Taesu Kim, Te-Won Lee
On the multivariate Laplace distribution. IEEE Signal Process. Lett. 13 (5) (2006)
Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) (2006)
Taesu Kim, Torbjørn Eltoft, Te-Won Lee
Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA (2006)
Intae Lee, Taesu Kim, Te-Won Lee
Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA (2006)
Torbjørn Eltoft, Taesu Kim, Te-Won Lee
Multivariate Scale Mixture of Gaussians Modeling. ICA (2006)
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)
Taesu Kim, Soo-Young Lee
Learning self-organized topology-preserving complex speech features at primary auditory cortex. Neurocomputing (2005)
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) (2004)
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) (2003)