Jae-sun Seo
Arizona State University
H-index: 42
North America-United States
Top articles of Jae-sun Seo
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Patch-based Selection and Refinement for Early Object Detection | Tianyi Zhang Kishore Kasichainula Yaoxin Zhuo Baoxin Li Jae-Sun Seo | 2024 | |
PS-IMC: A 2385.7 TOPS/W/b Precision Scalable In-Memory Computing Macro With Bit-Parallel Inputs and Decomposable Weights for DNNs | IEEE Solid-State Circuits Letters | Amitesh Sridharan Jyotishman Saikia Fan Zhang Jae-sun Seo Deliang Fan | 2024/2/23 |
Transformer-Based Selective Super-resolution for Efficient Image Refinement | Proceedings of the AAAI Conference on Artificial Intelligence | Tianyi Zhang Kishore Kasichainula Yaoxin Zhuo Baoxin Li Jae-Sun Seo | 2024/3/24 |
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training | Advances in Neural Information Processing Systems | Jian Meng Li Yang Kyungmin Lee Jinwoo Shin Deliang Fan | 2024/2/13 |
Corrections to “A Dynamic Power-Only Compute-in-Memory Macro With Power-of-Two Nonlinear SAR ADC for Nonvolatile Ferroelectric Capacitive Crossbar Array” | IEEE Solid-State Circuits Letters | Injune Yeo Wangxin He Yuan-Chun Luo Shimeng Yu Jae-Sun Seo | 2024/3/21 |
A Dynamic Power-Only Compute-In-Memory Macro With Power-of-Two Nonlinear SAR ADC for Non-Volatile Ferroelectric Capacitive Crossbar Array | IEEE Solid-State Circuits Letters | Injune Yeo Wangxin He Yuan-Chun Luo Shimeng Yu Jae-sun Seo | 2024/2/1 |
Method and system for a temperature-resilient neural network training model | 2024/3/21 | ||
Exploiting 2.5 D/3D Heterogeneous Integration for AI Computing | Zhenyu Wang Jingbo Sun Alper Goksoy Sumit K Mandal Yaotian Liu | 2024/1/22 | |
3D In-Sensor Computing for Real-Time DVS Data Compression: 65nm Hardware-Algorithm Co-Design | IEEE Solid-State Circuits Letters | Gopikrishnan R Nair Pragnya S Nalla Gokul Krishnan Jonghyun Oh Ahmed Hassan | 2024/3/8 |
High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design | ACM Transactions on Reconfigurable Technology and Systems | Anupreetham Anupreetham Mohamed Ibrahim Mathew Hall Andrew Boutros Ajay Kuzhively | 2024/1/15 |
11. A. Hannun et al.,“Sequence-to-sequence speech recognition with time-depth separable convolutions,” | IEEE Micro | JAESUN SEO | 2024/3 |
System and method for learning sparse features for self-supervised learning with contrastive dual gating | 2024/4/25 | ||
System and method for robust neural networking via noise injection | 2023/3/16 | ||
Prive: Efficient rram programming with chip verification for rram-based in-memory computing acceleration | Wangxin He Jian Meng Sujan Kumar Gonugondla Shimeng Yu Naresh R Shanbhag | 2023/4/17 | |
A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity | IEEE Journal of Solid-State Circuits | Shreyas Kolala Venkataramanaiah Jian Meng Han-Sok Suh Injune Yeo Jyotishman Saikia | 2023/5/15 |
Advances and Trends on On-Chip Compute-in-Memory Macros and Accelerators | Jae-Sun Seo | 2023/7/9 | |
FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro | Jyotishman Saikia Amitesh Sridharan Injune Yeo Shreyas Venkataramanaiah Deliang Fan | 2023/9/11 | |
SRAM In-Memory Computing Macro With Delta-Sigma Modulator Based Variable-Resolution Activation | IEEE Solid-State Circuits Letters | Vasundhara Damodaran Ziyu Liu Jian Meng Jae-sun Seo Arindam Sanyal | 2023/10/24 |
Guest Editorial Introduction to the Special Section on the 2023 IEEE International Solid-State Circuits Conference (ISSCC) | IEEE Transactions on NanoBioscience | Jin-Woo Kim Jangho Kim Deok-Ho Kim | 2016/12 |
Resistive random-access memory for exclusive nor (xnor) neural networks | 2023/3/9 |
