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ORCIDSehoon Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo
, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024)- [j12]Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. IEEE Micro 44(3): 33-39 (2024) - [c22]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. ACL (Findings) 2024: 6498-6526 - [c21]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. ICML 2024 - [c20]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. ICML 2024 - [i22]Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer:
Learned Best-Effort LLM Serving. CoRR abs/2401.07886 (2024) - [i21]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization. CoRR abs/2401.18079 (2024) - [i20]Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. CoRR abs/2403.14123 (2024) - [i19]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR abs/2403.15042 (2024) - [i18]Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami:
Characterizing Prompt Compression Methods for Long Context Inference. CoRR abs/2407.08892 (2024) - [i17]Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami:
TinyAgent: Function Calling at the Edge. CoRR abs/2409.00608 (2024) - [i16]Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami:
Efficient and Scalable Estimation of Tool Representations in Vector Space. CoRR abs/2409.02141 (2024) - 2023
- [c19]Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - [i15]Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Big Little Transformer Decoder. CoRR abs/2302.07863 (2023) - [i14]Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami:
Full Stack Optimization of Transformer Inference: a Survey. CoRR abs/2302.14017 (2023) - [i13]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. CoRR abs/2306.07629 (2023) - [i12]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao:
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR abs/2310.12072 (2023) - [i11]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. CoRR abs/2312.04511 (2023) - 2022
- [j11]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data 5: 787421 (2022) - [j10]Sehoon Kim:
Critical Success Factors Evaluation by Multi-Criteria Decision-Making: A Strategic Information System Planning and Strategy-As-Practice Perspective. Inf. 13(6): 270 (2022) - [c18]Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho:
BigColor: Colorization Using a Generative Color Prior for Natural Images. ECCV (7) 2022: 350-366 - [c17]Sehoon Kim, Amir Gholami, Zhewei Yao, Nicholas Lee, Patrick Wang, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer:
Integer-Only Zero-Shot Quantization for Efficient Speech Recognition. ICASSP 2022: 4288-4292 - [c16]Ho Young Jhoo, Sehoon Kim, Woosung Song, Kyuyeon Park, DongKwon Lee, Kwangkeun Yi:
A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code. ICSE-Companion 2022: 337-338 - [c15]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [c14]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS 2022 - [c13]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. NeurIPS 2022 - [c12]Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. WACV 2022: 3665-3676 - [i10]Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun:
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. CoRR abs/2201.09210 (2022) - [i9]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. CoRR abs/2204.09656 (2022) - [i8]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR abs/2206.00888 (2022) - [i7]Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho:
BigColor: Colorization using a Generative Color Prior for Natural Images. CoRR abs/2207.09685 (2022) - 2021
- [j9]Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele. Proc. VLDB Endow. 15(1): 11-20 (2021) - [j8]Sehoon Kim:
How a company's gamification strategy influences corporate learning: A study based on gamified MSLP (Mobile social learning platform). Telematics Informatics 57: 101505 (2021) - [c11]Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. ICML 2021: 5506-5518 - [c10]Jingyi Xu, Sehoon Kim, Borivoje Nikolic, Yakun Sophia Shao:
Memory-Efficient Hardware Performance Counters with Approximate-Counting Algorithms. ISPASS 2021: 226-228 - [c9]Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun:
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. NeurIPS 2021: 1468-1480 - [i6]Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. CoRR abs/2101.01321 (2021) - [i5]Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
A Survey of Quantization Methods for Efficient Neural Network Inference. CoRR abs/2103.13630 (2021) - [i4]Sehoon Kim, Amir Gholami, Zhewei Yao, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer:
Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition. CoRR abs/2103.16827 (2021) - [i3]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. CoRR abs/2107.00910 (2021) - [i2]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng:
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021) - [i1]Ho Young Jhoo, Sehoon Kim, Woosung Song, Kyuyeon Park, DongKwon Lee, Kwangkeun Yi:
A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code. CoRR abs/2112.09037 (2021)
2010 – 2019
- 2019
- [j7]Sehoon Kim, Hyunjun Jung, Min Joon Kong, Deok Keun Lee, Yun-Kyu An:
In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge. Sensors 19(14): 3048 (2019) - [j6]Sehoon Kim, Namgyu Kim, Young-Soo Park, Seung-Seop Jin:
A Sequential Framework for Improving Identifiability of FE Model Updating using Static and Dynamic Data. Sensors 19(23): 5099 (2019) - [j5]Namgyu Kim, Sehoon Kim, Yun-Kyu An, Jong-Jae Lee:
Triplanar Imaging of 3-D GPR Data for Deep-Learning-Based Underground Object Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4446-4456 (2019) - 2018
- [j4]Soohwan Yu, Byeongho Moon, Donggyun Kim, Sehoon Kim, Wonhee Choe, Sangkeun Lee, Joonki Paik:
Continuous digital zooming of asymmetric dual camera images using registration and variational image restoration. Multidimens. Syst. Signal Process. 29(4): 1959-1987 (2018) - 2015
- [j3]Young-Soo Park, Sehoon Kim, Sung-Han Sim, Ki-Young Koo, Wontae Lee, Jong-Jae Lee:
Smart One-Channel Sensor Node for Ambient Vibration Test with Applications to Structural Health Monitoring of Large Civil Infrastructures. Int. J. Distributed Sens. Networks 11: 691565:1-691565:16 (2015) - [c8]Jihwan Woo, Kris Kitani, Sehoon Kim, Hantak Kwak, Woosung Shim:
Semantic video segmentation using both appearance and geometric information. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060B - [c7]Youngbae Kim, Yeong Jun Koh, Chulwoo Lee, Sehoon Kim, Chang-Su Kim:
Dark image enhancement based onpairwise target contrast and multi-scale detail boosting. ICIP 2015: 1404-1408 - [c6]Jihwan Woo, Youn Jin Kim, Sehoon Kim, Wonhee Choe:
Visual cubism. ISCE 2015: 1-2 - 2014
- [c5]Sehoon Kim, Jin-Young Hong, Seil Kim, Sung-Hoon Kim, Jun-Hyung Kim, Jake Chun:
Restful Design and Implementation of Smart Appliances for Smart Home. UIC/ATC/ScalCom 2014: 717-722 - 2013
- [c4]Jeong Ah Kim, Sehoon Kim:
Consistency Checking Rules of Variability in Software Product Lines. BWCCA 2013: 595-597 - 2011
- [j2]Sehoon Kim, Sangchul Won:
A Particle Filter Approach to Robust State Estimation for a Class of Nonlinear Systems with Stochastic Parameter Uncertainty. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(5): 1194-1200 (2011)
2000 – 2009
- 2008
- [j1]Sehoon Kim, Jinkyu Lee, Ikjun Yeom:
Modeling and Performance Analysis of Address Allocation Schemes for Mobile Ad Hoc Networks. IEEE Trans. Veh. Technol. 57(1): 490-501 (2008) - [c3]Sehoon Kim, Jinkyu Lee, Ikjun Yeom:
Neighbor-Aware Adaptive Retry Limit for IEEE 802.11-Based Mobile Ad Hoc Networks. WCNC 2008: 1402-1407 - 2007
- [c2]Jinkyu Lee, Sehoon Kim, Ikjun Yeom:
Advanced Disjoint Address Allocation for Mobile Ad Hoc Networks. VTC Fall 2007: 304-308 - 2002
- [c1]Dong-Soo Kwon, Gi-Hun Yang, Youngjin Park, Sunmin Kim, Chong-Won Lee, Jae-Cheol Shin, Soonhung Han, Jonghwan Lee, KwangYun Wohn, Sehoon Kim, Doo Yong Lee, Kyungno Lee, Jae-Heon Yang, Yun-Mook Choi:
KAIST interactive bicycle racing simulator: the 2nd version with advanced features. IROS 2002: 2961-2966
Coauthor Index
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last updated on 2024-11-04 21:40 CET by the dblp team
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