← Authors

Ji Lin

21 papers · 2017–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (38) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution 🀝 Dynamic Duo (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (21) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (80) ⚑ Prolific Year (6)

Conferences

CVPR (6) NIPS (6) ICCV (3) ICLR (3) ECCV (2) ICML (1)

Top co-authors

Song Han (17) Chuang Gan (6) Zhijian Liu (6) Yujun Lin (5) Jun-Yan Zhu (4) Jiwen Lu (3) Hanrui Wang (3) Wei-Ming Chen (3) Han Cai (3) Jie Zhou (3)

Keywords

model compression (5) generative adversarial network (4) neural architecture search (4) efficient computing (3) image generation (3) efficient inference (3) knowledge distillation (2) reinforcement learning (2) conditional generative adversarial network (2) large language model (2) image synthesis (2) image editing (2) model quantization (2) data augmentation (1) knowledge transfer (1) transfer learning (1) neural network pruning (1) neural network compression (1) video understanding (1) temporal modeling (1)

Papers

VILA: On Pre-training for Visual Language Models CVPR 2024
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models NIPS 2022
Network Augmentation for Tiny Deep Learning ICLR 2022
On-Device Training Under 256KB Memory NIPS 2022
Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning NIPS 2021
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution ECCV 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs CVPR 2020
Differentiable Augmentation for Data-Efficient GAN Training NIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices NIPS 2020
Lite Transformer with Long-Short Range Attention ICLR 2020
HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019
Joint Monocular 3D Vehicle Detection and Tracking ICCV 2019
TSM: Temporal Shift Module for Efficient Video Understanding ICCV 2019
Defensive Quantization: When Efficiency Meets Robustness ICLR 2019
AMC: AutoML for Model Compression and Acceleration on Mobile Devices ECCV 2018
Runtime Neural Pruning NIPS 2017
Learning Discriminative Aggregation Network for Video-Based Face Recognition ICCV 2017
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network CVPR 2017