Cheng-Yang Chang
Orcid: 0000-0003-0072-3535
According to our database1,
Cheng-Yang Chang
authored at least 23 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
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., May, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
BORE: Energy-Efficient Banded Vector Similarity Search with Optimized Range Encoding for Memory-Augmented Neural Network.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
Approximate Adder Tree Design with Sparsity-Aware Encoding and In-Memory Swapping for SRAM-based Digital Compute-In-Memory Macros.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
Dynamic-HDC: A Two-Stage Dynamic Inference Framework for Brain-Inspired Hyperdimensional Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023
DE-C3: Dynamic Energy-Aware Compression for Computing-In-Memory-Based Convolutional Neural Network Acceleration.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022
Compression-Aware Projection with Greedy Dimension Reduction for Convolutional Neural Network Activations.
Proceedings of the IEEE International Conference on Acoustics, 2022
T-EAP: Trainable Energy-Aware Pruning for NVM-based Computing-in-Memory Architecture.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
IEEE Trans. Computers, 2021
PQ-HDC: Projection-Based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
2020
Dynamic Hyperdimensional Computing for Improving Accuracy-Energy Efficiency Trade-Offs.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2017
Sensors, 2017