AQFP Superconducting-Based Deep Learning Acceleration

Position Paper: ASPLOS'20 - PatDNN: Achieving Real-Time DNN Execution on Mobile Devices

3D CNN acceleration on FPGA with hardware-aware pruning

Beyond real-time! Mobile acceleration of RNNs for speech recognition

ISLPED2020 design contest First Prize: CoCoPIE demo

AQFP Superconducting-Based Deep Learning Acceleration

[ECCV 2020 Demonstration]: Real-Time Inference on Mobile for Various DNN Applications.

Towards Ultra-efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications

Pruning without data! - A Privacy-aware DNN Pruning and Mobile Acceleration

Towards Best Possible DL Acceleration on the Edge - A Compression-Compilation Co-Design Framework

NeurIPS ML4AD workshop: Real-Time Object Detection on Mobile via Compression-Compilation Co-Design

[AAAI21]YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

[HPCA'21] Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework