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2020 – today
- 2024
[j7]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)- [c15]Ming-Guang Lin, Jiing-Ping Wang, Cheng-Yang Chang, An-Yeu Andy Wu:
Approximate Adder Tree Design with Sparsity-Aware Encoding and In-Memory Swapping for SRAM-based Digital Compute-In-Memory Macros. AICAS 2024: 362-366 - [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]Chi-Tse Huang, Cheng-Yang Chang, Hsiang-Yun Cheng, An-Yeu Wu:
BORE: Energy-Efficient Banded Vector Similarity Search with Optimized Range Encoding for Memory-Augmented Neural Network. DATE 2024: 1-6 - [c12]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
- [j6]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) - [j5]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) - [j4]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) - [j3]Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, Yi-Ta Chen, An-Yeu Wu:
Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4025-4037 (2023) - [c11]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 - [c10]Yu-Chen Chen, Cheng-Yang Chang, An-Yeu Wu:
H-RIS: Hybrid Computing-in-Memory Architecture Exploring Repetitive Input Sharing. ISCAS 2023: 1-5 - [c9]Guan-Wei Wu, Cheng-Yang Chang, An-Yeu Andy Wu:
DE-C3: Dynamic Energy-Aware Compression for Computing-In-Memory-Based Convolutional Neural Network Acceleration. SOCC 2023: 1-6 - 2022
- [c8]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 - [c7]Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang, An-Yeu Andy Wu:
Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations. ICASSP 2022: 56-60 - [c6]Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, An-Yeu Andy Wu:
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation. SiPS 2022: 1-6 - [i3]Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, An-Yeu Andy Wu:
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation. CoRR abs/2207.07931 (2022) - 2021
- [j2]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) - [c5]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 - [c4]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 - [i2]Zong-Ming Lin, Cheng-Yang Chang, Chin-Yu Hu, Yung-Yuan Chen:
Intelligent Traffic Control System by Using Image Information. CoRR abs/2109.10181 (2021) - [i1]Yu-Shan Tai, Chieh-Fang Teng, Cheng-Yang Chang, An-Yeu Wu:
Compression-aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations. CoRR abs/2110.08828 (2021) - 2020
- [c3]Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
Task-Projected Hyperdimensional Computing for Multi-task Learning. AIAI (1) 2020: 241-251 - [c2]Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu:
IP-HDC: Information-Preserved Hyperdimensional Computing for Multi-Task Learning. SiPS 2020: 1-6 - [c1]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
- 2017
- [j1]Cheng-Yang Chang, Tsung-Lin Chen:
Design, Fabrication, and Modeling of a Novel Dual-Axis Control Input PZT Gyroscope. Sensors 17(11): 2505 (2017)
Coauthor Index
aka: An-Yeu Andy Wu
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