Taesu Kim - RankMe

71 papers A* 7A 8Misc 4Journal 33Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Debunking the CUDA Myth Towards GPU-based AI Systems. CoRR Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	A*	`conf`	Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. ISCA Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	J	`jnl`	GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. CoRR Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
2024	A*	`conf`	Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. NeurIPS Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. CoRR Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. CoRR Seungheon Doh, Keunwoo Choi, Daeyong Kwon, Taesu Kim, Juhan Nam
2024	A*	`conf`	OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. AAAI Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2024	J	`jnl`	QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim
2024	A*	`conf`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. ICML Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. CoRR Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2024	—	`conf`	VR-SSVEPeripheral: Designing Virtual Reality Friendly SSVEP Stimuli using Peripheral Vision Area for Immersive and Comfortable Experience. CHI Extended Abstracts Jinwook Kim, Taesu Kim, Jeongmi Lee
2023	—	`conf`	Affective Role of the Future Autonomous Vehicle Interior. AutomotiveUI (Adjunct Proceedings) Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk
2023	Misc	`conf`	Cross-Speaker Emotion Transfer by Manipulating Speech Style Latents. ICASSP Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim
2023	J	`jnl`	Cross-speaker Emotion Transfer by Manipulating Speech Style Latents. CoRR Suhee Jo, Younggun Lee, Yookyung Shin, Yeongtae Hwang, Taesu Kim
2023	A*	`conf`	Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim
2023	J	`jnl`	OWQ: Lessons learned from activation outliers for weight quantization in large language models. CoRR Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2023	A	`conf`	Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
2023	J	`jnl`	Squeezing Large-Scale Diffusion Models for Mobile. CoRR Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
2023	J	`jnl`	V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim
2022	J	`jnl`	Affective Role of the Future Autonomous Vehicle Interior. CoRR Taesu Kim, Gyunpyo Lee, Jiwoo Hong, Hyeon-Jeong Suk
2022	J	`jnl`	Affective responses to chromatic ambient light in a vehicle. CoRR Taesu Kim, Kyungah Choi, Hyeon-Jeong Suk
2022	J	`jnl`	BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2022	A	`conf`	EdiTTS: Score-based Editing for Controllable Text-to-Speech. INTERSPEECH Jaesung Tae, Hyeongju Kim, Taesu Kim
2022	—	`conf`	GP22: A Car Styling Dataset for Automotive Designers. CVPR Workshops Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk
2022	J	`jnl`	GP22: A Car Styling Dataset for Automotive Designers. CoRR Gyunpyo Lee, Taesu Kim, Hyeon-Jeong Suk
2022	J	`jnl`	Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. CoRR Taesu Kim, Seungheon Doh, Gyunpyo Lee, Hyungseok Jeon, Juhan Nam, Hyeon-Jeong Suk
2022	—	`conf`	Pokemon color adjustments for augmented reality contents. Color Imaging: Displaying, Processing, Hardcopy, and Applications Donggun Lee, Taesu Kim, Hyeon-Jeong Suk
2022	J	`jnl`	Sketching in-vehicle ambient lighting in virtual reality with the Wizard-of-Oz method. Digit. Creativity Taesu Kim, Aigerim Shunayeva, Gyunpyo Lee, Hyeon-Jeong Suk
2022	A	`conf`	Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. INTERSPEECH Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim
2022	J	`jnl`	Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS. CoRR Yookyung Shin, Younggun Lee, Suhee Jo, Yeongtae Hwang, Taesu Kim
2022	J	`jnl`	User Responses to Dynamic Light in Automobiles With EEG and Self-Assessments. IEEE Access Taesu Kim, Gyunpyo Lee, Minjung Park, Hong Min Lee, Ji-Woo Park, Hyeon-Jeong Suk
2021	J	`jnl`	EdiTTS: Score-based Editing for Controllable Text-to-Speech. CoRR Jaesung Tae, Hyeongju Kim, Taesu Kim
2021	A	`conf`	SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. DATE Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim
2020	—	`conf`	A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2020	A	`conf`	Time-step interleaved weight reuse for LSTM neural network computing. ISLPED Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim
2020	A	`conf`	V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. FPGA Taesu Kim, Daehyun Ahn, Jae-Joon Kim
2019	—	`conf`	Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array. VLSI Circuits Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim
2019	—	`conf`	Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping. A-SSCC Jongeun Koo, Eunhwan Kim, Seunghyun Yoo, Taesu Kim, Sungju Ryu, Jae-Joon Kim
2019	—	`conf`	Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim
2019	—	`conf`	Illuminant Estimation Through Reverse Calibration of an Auto White-Balanced Image That Contains Displays. CIC Taesu Kim, Eunjin Kim, Hyeon-Jeong Suk
2019	A	`conf`	Large-Scale Speaker Retrieval on Random Speaker Variability Subspace. INTERSPEECH Suwon Shon, Younggun Lee, Taesu Kim
2019	Misc	`conf`	Robust and Fine-grained Prosody Control of End-to-end Speech Synthesis. ICASSP Younggun Lee, Taesu Kim
2018	J	`jnl`	Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. ACM J. Emerg. Technol. Comput. Syst. Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
2018	J	`jnl`	Large-scale Speaker Retrieval on Random Speaker Variability Subspace. CoRR Suwon Shon, Younggun Lee, Taesu Kim
2018	J	`jnl`	Learning pronunciation from a foreign language in speech synthesis networks. CoRR Younggun Lee, Taesu Kim
2018	J	`jnl`	Robust and fine-grained prosody control of end-to-end speech synthesis. CoRR Younggun Lee, Taesu Kim
2018	J	`jnl`	True White Point for Television Screens Across Different Viewing Conditions. IEEE Trans. Consumer Electron. Kyungah Choi, Taesu Kim, Jeonghwan Chang, Hyeon-Jeong Suk
2018	—	`conf`	Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim
2018	J	`jnl`	Voice Imitating Text-to-Speech Neural Networks. CoRR Younggun Lee, Taesu Kim, Soo-Young Lee
2018	A*	`conf`	c.light: A Tool for Exploring Light Properties in Early Design Stage. CHI Kyeong-Ah Jeong, Eunjin Kim, Taesu Kim, Hyeon-Jeong Suk
2017	J	`jnl`	Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics. CoRR Hyungjun Kim, Taesu Kim, Jinseok Kim, Jae-Joon Kim
2017	A	`conf`	Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels. INTERSPEECH Sungrack Yun, Hye Jin Jang, Taesu Kim
2014	—	`conf`	Multiple stream tracker: a new hardware stride prefetcher. Conf. Computing Frontiers Taesu Kim, Dali Zhao, Alexander V. Veidenbaum
2012	A*	`conf`	Improving Cache Management Policies Using Dynamic Reuse Distances. MICRO Nam Duong, Dali Zhao, Taesu Kim, Rosario Cammarota, Mateo Valero, Alexander V. Veidenbaum
2012	Misc	`conf`	Revisiting level-0 caches in embedded processors. CASES Nam Duong, Taesu Kim, Dali Zhao, Alexander V. Veidenbaum
2011	—	`conf`	Self-similarity Based Lightweight Intrusion Detection Method for Cloud Computing. ACIIDS (2) Hyukmin Kwon, Taesu Kim, Song Jin Yu, Huy Kang Kim
2010	Misc	`conf`	Binaural loudness based speech reinforcement with a closed-form solution. ICASSP Ho Seon Shin, Min-Seok Choi, Taesu Kim, Hong-Goo Kang
2010	J	`jnl`	Real-Time Independent Vector Analysis for Convolutive Blind Source Separation. IEEE Trans. Circuits Syst. I Regul. Pap. Taesu Kim
2007	J	`jnl`	Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Trans. Speech Audio Process. Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee
2007	J	`jnl`	Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Process. Intae Lee, Taesu Kim, Te-Won Lee
2007	—	`ch.`	Independent Vector Analysis for Convolutive Blind Speech Separation. Blind Speech Separation Intae Lee, Taesu Kim, Te-Won Lee
2007	—	`conf`	Robust Independent Component Analysis Using Quadratic Negentropy. ICA Jaehyung Lee, Taesu Kim, Soo-Young Lee
2006	—	`conf`	Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA Intae Lee, Taesu Kim, Te-Won Lee
2006	—	`conf`	Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee
2006	—	`conf`	Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA Taesu Kim, Torbjørn Eltoft, Te-Won Lee
2006	—	`conf`	Multivariate Scale Mixture of Gaussians Modeling. ICA Torbjørn Eltoft, Taesu Kim, Te-Won Lee
2006	J	`jnl`	On the multivariate Laplace distribution. IEEE Signal Process. Lett. Torbjørn Eltoft, Taesu Kim, Te-Won Lee
2005	J	`jnl`	Learning self-organized topology-preserving complex speech features at primary auditory cortex. Neurocomputing Taesu Kim, Soo-Young Lee
2005	—	`conf`	Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. ICASSP (5) Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee
2004	J	`jnl`	Modeling Auditory Pathway for Intelligent Information Acquisition. Int. J. Inf. Acquis. Hyung-Min Park, Jong-Hwan Lee, Taesu Kim, Un-Min Bae, Byung Taek Kim, Ki-Young Park, Chang-Min Kim, Soo-Young Lee
2003	J	`jnl`	FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling. IEEE Trans. Neural Networks Chang-Min Kim, Hyung-Min Park, Taesu Kim, Yoon-Kyung Choi, Soo-Young Lee