Ji Lin
21 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (7) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (38)
πΊοΈ
Taxonomy Completionist
(38)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(17)
π
Conference Pioneer
π
Century Club
(21)
π
Trend Setter
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(80)
β‘
Prolific Year
(6)
Conferences
CVPR (6)
NIPS (6)
ICCV (3)
ICLR (3)
ECCV (2)
ICML (1)
Top co-authors
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