Yu-Chuan Chuang

According to our database, Yu-Chuan Chuang authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Dynamic-HDC: A Two-Stage Dynamic Inference Framework for Brain-Inspired Hyperdimensional Computing.

Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Wu

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence.

Cheng-Yang Chang, Yu-Chuan Chuang, Chi-Tse Huang, An-Yeu Wu

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

E-UPQ: Energy-Aware Unified Pruning-Quantization Framework for CIM Architecture.

Cheng-Yang Chang, Kuang-Chao Chou, Yu-Chuan Chuang, An-Yeu Wu

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

S-QRD-ELM: Scalable QR-Decomposition-Based Extreme Learning Machine Engine Supporting Online Class-Incremental Learning for ECG-Based User Identification.

Yi-Ta Chen, Yu-Chuan Chuang, Li-Sheng Chang, An-Yeu Wu

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

BWA-NIMC: Budget-based Workload Allocation for Hybrid Near/In-Memory-Computing.

Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros.

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

IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning.

Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Wu

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Automated Quantization Range Mapping for DAC/ADC Non-linearity in Computing-In-Memory.

Chi-Tse Huang, Yu-Chuan Chuang, Ming-Guang Lin, An-Yeu Andy Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory Architecture.

Cheng-Yang Chang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Wu

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

MulTa-HDC: A Multi-Task Learning Framework For Hyperdimensional Computing.

Cheng-Yang Chang, Yu-Chuan Chuang, En-Jui Chang, An-Yeu Andy Wu

IEEE Trans. Computers, 2021

An Arbitrarily Reconfigurable Extreme Learning Machine Inference Engine for Robust ECG Anomaly Detection.

Yu-Chuan Chuang, Yi-Ta Chen, Huai-Ting Li, An-Yeu Andy Wu

IEEE Open J. Circuits Syst., 2021

PQ-HDC: Projection-Based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing.

Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Hyperdimensional Computing with Learnable Projection for User Adaptation Framework.

Yu-Ren Hsiao, Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning.

Cheng-Yen Hsieh, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Dynamic Hyperdimensional Computing for Improving Accuracy-Energy Efficiency Trade-Offs.

Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Andy Wu

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

IP-HDC: Information-Preserved Hyperdimensional Computing for Multi-Task Learning.

Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Task-Projected Hyperdimensional Computing for Multi-task Learning.

Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Online Extreme Learning Machine Design for the Application of Federated Learning.

Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification.

Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

2018

Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals.

Kuan Tung, Po-Kang Liu, Yu-Chuan Chuang, Sheng-Hui Wang, An-Yeu Wu

CoRR, 2018