Sehoon Kim

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 42

Top Topics

Speech Recognition

Image Restoration

Top Venues

Frontiers Big Data

Publications

Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami
Characterizing Prompt Compression Methods for Long Context Inference. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipali, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR (2024)
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)
Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer
AI and Memory Wall. IEEE Micro 44 (3) (2024)
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)
Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer
AI and Memory Wall. CoRR (2024)
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 (2024)
Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer
Learned Best-Effort LLM Serving. CoRR (2024)
Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR (2023)
Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
An LLM Compiler for Parallel Function Calling. CoRR (2023)
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 (2023)
Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Speculative Decoding with Big Little Decoder. NeurIPS (2023)
Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer
SqueezeLLM: Dense-and-Sparse Quantization. CoRR (2023)
Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Big Little Transformer Decoder. CoRR (2023)
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)
Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer
Hessian-Aware Pruning and Optimal Neural Implant. WACV (2022)
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)
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)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. NeurIPS (2022)
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 (2022)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. CoRR (2022)
Sehoon Kim
Critical Success Factors Evaluation by Multi-Criteria Decision-Making: A Strategic Information System Planning and Strategy-As-Practice Perspective. Inf. 13 (6) (2022)
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 (2022)
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 (2022)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. KDD (2022)
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)
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 (2022)
Jingyi Xu, Sehoon Kim, Borivoje Nikolic, Yakun Sophia Shao
Memory-Efficient Hardware Performance Counters with Approximate-Counting Algorithms. ISPASS (2021)
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, Tomas E. Muller 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 Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
Applications and Techniques for Fast Machine Learning in Science. CoRR (2021)
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 (2021)
Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer
A Survey of Quantization Methods for Efficient Neural Network Inference. CoRR (2021)
Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer
I-BERT: Integer-only BERT Quantization. ICML (2021)
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 (2021)
Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer
I-BERT: Integer-only BERT Quantization. CoRR (2021)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. CoRR (2021)
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) (2021)
Sehoon Kim
How a company's gamification strategy influences corporate learning: A study based on gamified MSLP (Mobile social learning platform). Telematics Informatics 57 (2021)
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)
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) (2019)
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) (2019)
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) (2019)
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) (2018)
Jihwan Woo, Youn Jin Kim, Sehoon Kim, Wonhee Choe
Visual cubism. ISCE (2015)
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 (2015)
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)
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)
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)
Jeong Ah Kim, Sehoon Kim
Consistency Checking Rules of Variability in Software Product Lines. BWCCA (2013)
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. (5) (2011)
Sehoon Kim, Jinkyu Lee, Ikjun Yeom
Neighbor-Aware Adaptive Retry Limit for IEEE 802.11-Based Mobile Ad Hoc Networks. WCNC (2008)
Sehoon Kim, Jinkyu Lee, Ikjun Yeom
. IEEE Trans. Veh. Technol. 57 (1) (2008)
Jinkyu Lee, Sehoon Kim, Ikjun Yeom
Advanced Disjoint Address Allocation for Mobile Ad Hoc Networks. VTC Fall (2007)
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)