Ji Lin
21 papers · 2017–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(17)
π§
Keyword Pioneer
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(96)
Top co-authors
Research topics
Deep Learning
(14)
Machine Learning
(10)
Application Areas
(9)
Optimization & Theory Β· Deep Learning
(8)
Artificial Intelligence
(6)
Computer Vision
(6)
Techniques
(6)
Core AI
(5)
Learning Types
(5)
Analysis
(4)
Models
(4)
Optimization & Theory Β· Machine Learning
(3)
Processing
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Keywords
model compression
(6)
generative adversarial network
(4)
neural architecture search
(4)
efficient computing
(3)
efficient inference
(3)
image generation
(3)
image editing
(2)
large language model
(2)
model quantization
(2)
model efficiency
(2)
reinforcement learning
(2)
knowledge distillation
(2)
image synthesis
(2)
conditional generative adversarial network
(2)
knowledge transfer
(1)
transfer learning
(1)
neural network pruning
(1)
temporal modeling
(1)
post-training quantization
(1)
deep reinforcement learning
(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
NeurIPS 2022
Network Augmentation for Tiny Deep Learning
ICLR 2022
On-Device Training Under 256KB Memory
NeurIPS 2022
Anycost GANs for Interactive Image Synthesis and Editing
CVPR 2021
Memory-efficient Patch-based Inference for Tiny Deep Learning
NeurIPS 2021
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
CVPR 2020
Differentiable Augmentation for Data-Efficient GAN Training
NeurIPS 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
Lite Transformer with Long-Short Range Attention
ICLR 2020
MCUNet: Tiny Deep Learning on IoT Devices
NeurIPS 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
ECCV 2020
Defensive Quantization: When Efficiency Meets Robustness
ICLR 2019
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
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
ECCV 2018
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network
CVPR 2017
Learning Discriminative Aggregation Network for Video-Based Face Recognition
ICCV 2017
Runtime Neural Pruning
NeurIPS 2017