Ziheng Wang

15 papers C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Configurable Floating-Point Fused Multiply-Add Design With Mixed Precision for AI Accelerators.
IEEE Trans. Circuits Syst. Artif. Intell.
Farzad Niknia, Ziheng Wang, Shanshan Liu, Pedro Reviriego, Zhen Gao, Paolo Montuschi, Fabrizio Lombardi
2025 J jnl
Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL).
CoRR
Ziheng Wang, Pedro Reviriego, Farzad Niknia, Zhen Gao, Javier Conde, Shanshan Liu, Fabrizio Lombardi
2025 J jnl
Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL).
IEEE Internet Things J.
Ziheng Wang, Pedro Reviriego, Farzad Niknia, Zhen Gao, Javier Conde, Shanshan Liu, Fabrizio Lombardi
2025 J jnl
Fault Tolerance in Triplet Network Training: Analysis, Evaluation and Protection Methods.
IEEE Trans. Emerg. Top. Comput.
Ziheng Wang, Farzad Niknia, Shanshan Liu, Pedro Reviriego, Ahmed Louri, Fabrizio Lombardi
2025 J jnl
Perturbation-based error detection and correction (PBEDC) in dependable large-scale machine learning systems.
Future Gener. Comput. Syst.
Ziheng Wang, Pedro Reviriego, Shanshan Liu, Farzad Niknia, Xiaochen Tang, Zhen Gao, Fabrizio Lombardi
2024 J jnl
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things.
CoRR
Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi
2024 J jnl
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things.
IEEE Internet Things J.
Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi
2024 J jnl
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems.
IEEE Trans. Reliab.
Pedro Reviriego, Ziheng Wang, Álvaro Alonso, Zhen Gao, Farzad Niknia, Shanshan Liu, Fabrizio Lombardi
2023 J jnl
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems.
CoRR
Pedro Reviriego, Ziheng Wang, Álvaro Alonso, Zhen Gao, Farzad Niknia, Shanshan Liu, Fabrizio Lombardi
2023 J jnl
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Xiaochen Tang, Shanshan Liu, Farzad Niknia, Ziheng Wang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi
2023 C conf
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function.
ISCAS
Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi
2023 J jnl
Tolerance of Siamese Networks (SNs) to Memory Errors: Analysis and Design.
IEEE Trans. Computers
Ziheng Wang, Farzad Niknia, Shanshan Liu, Pedro Reviriego, Paolo Montuschi, Fabrizio Lombardi
2022 J jnl
A Delta Sigma Modulator-Based Stochastic Divider.
IEEE Trans. Circuits Syst. I Regul. Pap.
Xiaochen Tang, Shanshan Liu, Farzad Niknia, Pedro Reviriego, Ziheng Wang, Wei Tang, Ahmed Louri, Fabrizio Lombardi
2021 — conf
Analysis of the Multispectral and SAR Image.
ICCCS
Shuchun Zhang, Yun Zhang, Yongbin Chou, Ziheng Wang, Yifu Shi, Zhenyu Sun
2017 — conf
A Novel Instantaneous Imaging of Ship Based on the Hybrid System of SAR and ISAR.
CSPS
Zhenyuan Ji, Xuechao Kan, Yun Zhang, Ziheng Wang, Hongyan Jin