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Showing results 1 to 7 of 7
Conference
A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation
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- Koo, Jinhyung ;
- Lee, Sungjin ;
- Kim, Yeseong
- 2025-05-20
- Design Automation Conference, pp.1 - 2
- ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
- View : 22
- Download : 0
- Lee, Junyoung ;
- Chang, Pyung Hun ;
- Yu, Byeong Gi ;
- Jin, Maolin
- 2020-09
- Lee, Junyoung. (2020-09). An Adaptive PID Control for Robot Manipulators Under Substantial Payload Variations. doi: 10.1109/ACCESS.2020.3014348
- Institute of Electrical and Electronics Engineers Inc.
- View : 518
- Download : 0
- Lee, Junyoung ;
- Chang, Pyung Hun ;
- Yu, Byeonggi ;
- Seo, Kap-Ho ;
- Jin, Maolin
- 2020-09
- Lee, Junyoung. (2020-09). An Effective Adaptive Gain Dynamics for Time-Delay Control of Robot Manipulators. doi: 10.1109/ACCESS.2020.3027858
- Institute of Electrical and Electronics Engineers Inc.
- View : 395
- Download : 0
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- Kim, Jinhyung ;
- Kim, Taehyung ;
- Kim, Yongnyeon ;
- Ni, Yang ;
- Imani, Mohsen ; et al
- 2024-05-14
- Kwon, Hyukjun. (2024-05-14). Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. IEEE International Conference on Robotics and Automation, 5176–5182. doi: 10.1109/ICRA57147.2024.10610176
- IEEE Robotics and Automation Society
- View : 80
- Download : 0
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- Kim, Yeseong
- 2025-06
- Proceedings of the ACM on Measurement and Analysis of Computing Systems, v.9, no.2, pp.43 - 45
- Association for Computing Machinery
- View : 250
- Download : 0
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- Suh, Il Hong ;
- Chwa, Hoon Sung ;
- Kim, Yeseong
- 2025-04-02
- Design Automation and Test in Europe Conference, pp.1 - 2
- Institute of Electrical and Electronics Engineers Inc.
- View : 267
- Download : 0
Conference
QuiltNet: Efficient Deep Learning Inference on Multi-Chip Accelerators Using Model Partitioning
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- Ha, Minho ;
- Lim, Euicheol ;
- Imani, Mohsen ;
- Kim, Yeseong
- 2022-07-14
- Park, Jongho. (2022-07-14). QuiltNet: Efficient Deep Learning Inference on Multi-Chip Accelerators Using Model Partitioning. Design Automation Conference, 1159–1164. doi: 10.1145/3489517.3530589
- Association for Computing Machinery
- View : 159
- Download : 0
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