28. [JSSC 2025] Sangyeob Kim, S.Kim, W.Jo, S.Kim, S.Hong, N.Lee, J.Lee, and Hoi-Jun Yoo
"C-Transformer: A Homogeneous DNN-Transformer/Spiking-Transformer Processor for Large-Language-Models," in IEEE Journal of Solid-State Circuits
27. [JSSC 2024] S. Kim, S. Song, W. Park, J. Ryu, G.Park, Sangyeob Kim, S. Kim, D. Han, and Hoi-Jun Yoo
"NeRF-Navi: An Energy-Efficient NeRF 3-D Path Planning Processor With Reconfigurable Approximate/Accurate Bit Offloading Core", in IEEE Journal of Solid-State Circuits
26. [JSSC 2024] S.Hong, W.Jo, S.Kim, Sangyeob Kim, S.Um, K.Sohn, and Hoi-Jun Yoo
"Dyamond: Compact and Efficient 1T1C DRAM IMC Accelerator With Bit Column Addition for Memory-Intensive AI", in IEEE Journal of Solid-State Circuits
25. [JSSC 2024] S.Kim, S.Song, W.Park, J.Ryu, G.Park, Sangyeob Kim, S.Kim., D.Han, and Hoi-Jun Yoo
"NeRF-Navi: An Energy-Efficient NeRF 3D Path Planning Processor with Reconfigurable Approximate/Accurate Bit Offloading Core", in IEEE Journal of Solid-State Circuits
24. [JSSC 2024] J.Ryu, H.Kwon, W.Park, Z.Li, B.Kwon, D.Han, D.Im, Sangyeob Kim, H.Joo., M.Kim, and Hoi-Jun Yoo
"NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices", in IEEE Journal of Solid-State Circuits
23. [JSSC 2024] G.Park, S.Song, H.Sang, D.Im, D.Han, Sangyeob Kim, H.Lee, and Hoi-Jun Yoo
"An Artificial-Intelligence-Based SLAM Processor With Scene-Adaptive Sampling and Hybrid NeRF Model Training Acceleration", in IEEE Transactions on Circuits and Systems for Artificial Intelligence
22. [JSSC 2024] S.Um, S.Kim, S.Hong, Sangyeob Kim, and Hoi-Jun Yoo
"LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor with Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell", in IEEE Journal of Solid-State Circuits
21. [JSSC 2023] Sangyeob Kim, S.Kim, S.Hong, S.Kim, D.Han, J.Choi, and Hoi-Jun Yoo
"C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture," in IEEE Journal of Solid-State Circuits
20. [JSSC 2023] Sangyeob Kim, S.Kim, S.Um, S.Kim, K.Kim, and Hoi-Jun Yoo
"Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital–Analog Networks," in IEEE Journal of Solid-State Circuits
19. [JSSC 2023] Sangyeob Kim, S.Kim, S.Um, S.Kim, J.Lee, and Hoi-Jun Yoo
" SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation Unit," in IEEE Journal of Solid-State Circuits
18. [JETCAS 2023] Sangyeob Kim, and Hoi-Jun Yoo
"C-DNN V2: Complementary Deep-Neural-Network Processor with Full-Adder/OR-Based Reduction Tree and Reconfigurable Spatial Weight Reuse," IEEE Journal on Emerging and Selected Topics in Circuits and System
17. [MICRO 2023] Sangyeob Kim, S.Kim, S.Hong, S.Kim, J.Choi, D.Han, and Hoi-Jun Yoo
"COOL-NPU: Complementary Online Learning Neural Processing Unit," IEEE Micro
16. [MICRO 2023] D.Han, J.Ryu, Sangyeob Kim, S.Kim, J.Park, and Hoi-Jun Yoo
"A Low-power AI-based 3D Rendering Processor with Hybrid DNN Computing," IEEE Micro
15. [JSSC 2023] S.Kim, Z.Li, S.Um, W.Jo, S.Ha, J.Lee, Sangyeob Kim, D.Han, and Hoi-Jun Yoo
"DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell," in IEEE Journal of Solid-State Circuits
14. [JSSC 2023] D.Han, J.Ryu, Sangyeob Kim, S.Kim, J.Park, and Hoi-Jun Yoo
"MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN Computing," in IEEE Journal of Solid-State Circuits
13. [TCAS-I 2022] Sangyeob Kim, J. Lee, S. Kang, D. Han, W. Jo, and Hoi-Jun Yoo
"TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator with Multi-Modal Iterative Pruning," IEEE Transactions on Circuits and Systems I: Regular Papers
12. [OJSSC 2022] D.Han, S.Kang, Sangyeob Kim, J.Lee, and Hoi-Jun Yoo
"Energy-efficient DNN Training Processors on Micro-AI Systems," in IEEE Open Journal of the Solid-State Circuits Society
11. [JSSC 2022] J.Lee, Sangyeob Kim, S.Kim, W.Jo, D.Han, and Hoi-Jun Yoo
"OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor with Dual-mode Weight Compression and Sparse Weight Transposer," in IEEE Journal of Solid-State Circuits
10. [TCAS-I 2022] S.Kim, Sangyeob Kim, J. Lee, and Hoi-Jun Yoo
"A Low-Power Graph Convolutional Network Processor with Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices," IEEE Transactions on Circuits and Systems I: Regular Papers
9. [MICRO 2021] J.Lee, J.Kim, W.Jo, Sangyeob Kim, S.Kim, and Hoi-Jun Yoo
"ECIM: Exponent Computing in Memory for an Energy Efficient Heterogeneous Floating-Point DNN Training Processor," IEEE Micro
8. [JSSC 2021] K.Kim, Sangyeob Kim, and Hoi-Jun Yoo
"Design of Sub-10-uW Sub-0.1% THD Sinusoidal Current Generator IC for Bio-Impedance Sensing," in IEEE Journal of Solid-State Circuits
7. [JSSC 2021] S.Kim, S.Kang, D.Han, S.Kim, Sangyeob Kim, and Hoi-Jun Yoo
"An Energy-Efficient GAN Accelerator with On-Chip Training for Domain Specific Optimization," in IEEE Journal of Solid-State Circuits
6. [JSSC 2021] S.Kang, D.Han, J.Lee, D.Im, Sangyeob Kim, S.Kim, J.Ryu, and Hoi-Jun Yoo
"GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation," in IEEE Journal of Solid-State Circuits
5. [TCAS-II 2021] S.Kim, S.Kim, Sangyeob Kim, D.Han, and Hoi-Jun Yoo
"A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network," IEEE Transactions on Circuits and Systems II: Express Briefs
4. [TCAS-II 2021] S.Um, Sangyeob Kim, S.Kim, and Hoi-Jun Yoo
"A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory with Computation Reuse," IEEE Transactions on Circuits and Systems II: Express Briefs
3. [SSCL 2021] Sangyeob Kim, J. Lee, S. Kang, J. Lee, W. Jo, and Hoi-Jun Yoo
"PNPU: An Energy-Efficient Deep-Neural-Network Learning Processor with Stochastic Coarse-Fine Level Weight Pruning and Adaptive Input/Output/Weight Zero Skipping," IEEE Solid-State Circuits Letters\
2. [TCAS-I 2020] Sangyeob Kim, J. Lee, S. Kang, J. Lee, and Hoi-Jun Yoo
"A Power-Efficient CNN Accelerator with Similar Feature Skipping for Face Recognition in Mobile Devices," IEEE Transactions on Circuits and Systems I: Regular Papers
1. [JSSC 2018] J.Lee, C.Kim, S.Kang, D.Shin, Sangyeob Kim, and Hoi-Jun Yoo
"UNPU: An Energy-Efficient Deep Neural Network Accelerator with Fully-Variable Weight Bit Precision," in IEEE Journal of Solid-State Circuits