| Emotional voice conversion using multitask learning with text-to-speech TH Kim, S Cho, S Choi, S Park, SY Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 34 | 2020 |
| Deep user identification model with multiple biometric data HK Song, E AlAlkeem, J Yun, TH Kim, H Yoo, D Heo, M Chae, ... BMC bioinformatics 21, 1-11, 2020 | 14 | 2020 |
| Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis YG Yoon, TH Kim, DW Jeong, SH Park 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 13 | 2011 |
| Adjusting pleasure-arousal-dominance for continuous emotional text-to-speech synthesizer A Rabiee, TH Kim, SY Lee arXiv preprint arXiv:1906.05507, 2019 | 12 | 2019 |
| Mobilesamv2: Faster segment anything to everything C Zhang, D Han, S Zheng, J Choi, TH Kim, CS Hong arXiv preprint arXiv:2312.09579, 2023 | 4 | 2023 |
| Greedy algorithm for real-time multi-object tracking TH Kim, C Lee, CD Yoo 2014 IEEE International Conference on Image Processing (ICIP), 398-402, 2014 | 4 | 2014 |
| End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss M Chae, SY Lee, TH Kim, JW Kim, YH Shin IROS Workshop on Crossmodal Learning for Intelligent Robotics, 2018 | 3 | 2018 |
| End-to-end multimodal emotion and gender recognition with dynamic joint loss weights M Chae, TH Kim, YH Shin, JW Kim, SY Lee arXiv preprint arXiv:1809.00758, 2018 | 3 | 2018 |
| A cepstral analysis based method for quantifying the depth of anesthesia from human EEG TH Kim, YG Yoon, J Uhm, DW Jeong, SZ Yoon, SH Park 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 3 | 2013 |
| Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation J Cho, FD Puspitasari, S Zheng, J Zheng, LH Lee, TH Kim, CS Hong, ... arXiv preprint arXiv:2403.05131, 2024 | 2 | 2024 |
| Deep user identification model with multiple biometrics HK Song, E AlAlkeem, J Yun, TH Kim, H Yoo, D Heo, CY Yeun, M Chae arXiv preprint arXiv:1909.05417, 2019 | 2 | 2019 |
| Shortened LLaMA: A Simple Depth Pruning for Large Language Models BK Kim, G Kim, TH Kim, T Castells, S Choi, J Shin, HK Song arXiv preprint arXiv:2402.02834, 2024 | 1 | 2024 |
| A Fully Time-domain Neural Model for Subband-based Speech Synthesizer A Rabiee, G Kim, TH Kim, SY Lee arXiv preprint arXiv:1810.05319, 2018 | 1 | 2018 |
| Method and apparatus for energy-aware deep neural network compression KI Seul, S KyungHwan, M Chae, T Kim US Patent 11,875,263, 2024 | | 2024 |
| Method and computing device for determining optimal parameter T Kim, M Chae, B Jongwon, D Kim, DU Lim, P Cheol-Bin, B Chaudhary US Patent App. 18/188,392, 2023 | | 2023 |
| Method and system for optimizing quantization model J Seohyun, P Junkyu, T Kim US Patent App. 18/061,305, 2023 | | 2023 |
| Method and system for changing structure of deep learning model based on change in input resolution LEE Byeongman, JW Yun, M Kim, T Kim US Patent App. 17/819,261, 2023 | | 2023 |
| Latency prediction method and computing device for the same JH Kim, MS Kim, TH Kim US Patent App. 17/819,281, 2023 | | 2023 |
| Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization S Park, B Kwon, J Lim, K Sim, TH Kim, J Choi arXiv preprint arXiv:2212.10878, 2022 | | 2022 |
| Uniform-Precision Neural Network Quantization via Neural Channel Expansion S Park, B Kwon, K Sim, J Lim, TH Kim, J Choi | | 2020 |
Young-Gyu YoonAssociate Professor, KAISTVerified email at kaist.ac.kr
