5 papers
Model Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging
Changhong Li, Bharathkumar Hegde, Biswajit Basu +1
The increasing integration of Electric Vehicles (EVs) has imposed a growing harmonic challenge on the power grid. For AC/DC Power Factor Correction (PFC) in single-phase On-Board C…
RQP: Resource-Oriented Quantiser Pruning for Neural Networks on FPGAs
Changhong Li, Biswajit Basu, Shreejith Shanker
High granularity quantisation (HGQ) exploits weight-level quantisation and pruning to design resource-efficient neural network accelerators, achieving an attractive trade-off betwe…
LogicSparse: Enabling Engine-Free Unstructured Sparsity for Quantised Deep-learning Accelerators
Changhong Li, Biswajit Basu, Shreejith Shanker
FPGAs have been shown to be a promising platform for deploying Quantised Neural Networks (QNNs) with high-speed, low-latency, and energy-efficient inference. However, the complexit…
ReTiDe: Real-Time Denoising for Energy-Efficient Motion Picture Processing with FPGAs
Changhong Li, Clément Bled, Rosa Fernandez +1
Denoising is a core operation in modern video pipelines. In codecs, in-loop filters suppress sensor noise and quantisation artefacts to improve rate-distortion performance; in cine…
FAV-NSS: An HIL Framework for Accelerating Validation of Automotive Network Security Strategies
Changhong Li, Shashwat Khandelwal, Shreejith Shanker
Complex electronic control unit (ECU) architectures, software models and in-vehicle networks are consistently improving safety and comfort functions in modern vehicles. However, th…