Geng Yuan
Publications by Year
Research Areas
Advanced Neural Network Applications, Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Adversarial Robustness in Machine Learning, Advanced Image and Video Retrieval Techniques
Most-Cited Works
- → SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning(2022)132 cited
- → Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?(2021)94 cited
- → YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design(2021)84 cited
- → FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator(2021)71 cited
- → Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization(2022)66 cited
- → An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM(2019)57 cited
- → Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search(2021)55 cited
- → Teachers Do More Than Teach: Compressing Image-to-Image Models(2021)55 cited
- → Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation(2020)52 cited
- → ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning(2019)45 cited