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2020 – today
- 2025
[i4]Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna:
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations. CoRR abs/2501.09954 (2025)- 2024
- [j8]Cheng-Yang Chang
, Chi-Tse Huang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu:
BFP-CIM: Runtime Energy-Accuracy Scalable Computing-in-Memory-Based DNN Accelerator Using Dynamic Block-Floating-Point Arithmetic. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2079-2092 (2024) - [c14]Cheng-Yang Chang, Chi-Tse Huang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Andy Wu:
BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator. ASPDAC 2024: 545-550 - [c13]Yu-Chuan Chuang, Ming-Guang Lin, Chi-Tse Huang, Chieh-Fang Teng, Cheng-Yang Chang, Yi-Ta Chen, An-Yeu Andy Wu:
A 40nm 24.6TOPS/W Scalable EfficientDet Processor for Object Detection. ISCAS 2024: 1-5 - 2023
- [j7]Cheng-Yang Chang, Kuang-Chao Chou, Yu-Chuan Chuang, An-Yeu Wu:
E-UPQ: Energy-Aware Unified Pruning-Quantization Framework for CIM Architecture. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 21-32 (2023) - [j6]Cheng-Yang Chang, Yu-Chuan Chuang, Chi-Tse Huang, An-Yeu Wu:
Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 119-136 (2023) - [j5]Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Wu:
Dynamic-HDC: A Two-Stage Dynamic Inference Framework for Brain-Inspired Hyperdimensional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1125-1136 (2023) - [j4]Yi-Ta Chen, Yu-Chuan Chuang, Li-Sheng Chang, An-Yeu Wu:
S-QRD-ELM: Scalable QR-Decomposition-Based Extreme Learning Machine Engine Supporting Online Class-Incremental Learning for ECG-Based User Identification. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2342-2355 (2023) - [c12]Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
BWA-NIMC: Budget-based Workload Allocation for Hybrid Near/In-Memory-Computing. DAC 2023: 1-6 - 2022
- [j3]Ming-Guang Lin, Chi-Tse Huang, Yu-Chuan Chuang, Yi-Ta Chen, Ying-Tuan Hsu, Yu-Kai Chen, Jyun-Jhe Chou, Tsung-Te Liu, Chi-Sheng Shih, An-Yeu Wu:
D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 381-392 (2022) - [c11]Cheng-Yang Chang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu:
T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory Architecture. AICAS 2022: 78-81 - [c10]Chi-Tse Huang, Yu-Chuan Chuang, Ming-Guang Lin, An-Yeu Andy Wu:
Automated Quantization Range Mapping for DAC/ADC Non-linearity in Computing-In-Memory. ISCAS 2022: 2998-3002 - [c9]Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu:
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning. MLSP 2022: 1-6 - [i3]Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu:
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning. CoRR abs/2207.12397 (2022) - 2021
- [j2]Yu-Chuan Chuang, Yi-Ta Chen, Huai-Ting Li, An-Yeu Andy Wu:
An Arbitrarily Reconfigurable Extreme Learning Machine Inference Engine for Robust ECG Anomaly Detection. IEEE Open J. Circuits Syst. 2: 196-209 (2021) - [j1]Cheng-Yang Chang, Yu-Chuan Chuang, En-Jui Chang, An-Yeu Andy Wu:
MulTa-HDC: A Multi-Task Learning Framework For Hyperdimensional Computing. IEEE Trans. Computers 70(8): 1269-1284 (2021) - [c8]Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Andy Wu:
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning. AICAS 2021: 1-5 - [c7]Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
PQ-HDC: Projection-Based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing. AIAI 2021: 425-435 - [c6]Yu-Ren Hsiao, Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu:
Hyperdimensional Computing with Learnable Projection for User Adaptation Framework. AIAI 2021: 436-447 - 2020
- [c5]Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu:
Online Extreme Learning Machine Design for the Application of Federated Learning. AICAS 2020: 188-192 - [c4]Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
Task-Projected Hyperdimensional Computing for Multi-task Learning. AIAI (1) 2020: 241-251 - [c3]Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
IP-HDC: Information-Preserved Hyperdimensional Computing for Multi-Task Learning. SiPS 2020: 1-6 - [c2]Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu:
Dynamic Hyperdimensional Computing for Improving Accuracy-Energy Efficiency Trade-Offs. SiPS 2020: 1-5
2010 – 2019
- 2019
- [c1]Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu:
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification. SiPS 2019: 131-136 - [i2]Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Wu:
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification. CoRR abs/1909.07115 (2019) - 2018
- [i1]Kuan Tung, Po-Kang Liu, Yu-Chuan Chuang, Sheng-Hui Wang, An-Yeu Wu:
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals. CoRR abs/1809.08410 (2018)
Coauthor Index
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