Ji Lin

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

On-Device Training Under 256KB Memory [NeurIPS'22]