Yu-Chuan Chuang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Scatter Matrices

Extreme Learning Machine

Anomaly Detection

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

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)
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)
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) (2024)
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) (2023)
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) (2023)
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) (2023)
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)
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) (2023)
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) (2022)
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning. MLSP (2022)
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)
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)
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning. CoRR (2022)
Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Andy Wu
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning. AICAS (2021)
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) (2021)
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 (2021)
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)
Yu-Ren Hsiao, Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu
Hyperdimensional Computing with Learnable Projection for User Adaptation Framework. AIAI (2021)
Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu
Dynamic Hyperdimensional Computing for Improving Accuracy-Energy Efficiency Trade-Offs. SiPS (2020)
Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu
IP-HDC: Information-Preserved Hyperdimensional Computing for Multi-Task Learning. SiPS (2020)
Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu
Task-Projected Hyperdimensional Computing for Multi-task Learning. AIAI (1) (2020)
Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu
Online Extreme Learning Machine Design for the Application of Federated Learning. AICAS (2020)
Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Wu
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification. CoRR (2019)
Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu
AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification. SiPS (2019)
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 (2018)