Fei Chao
27 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Dynamic Duo
(24)
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Prolific Year · Prolific
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Century Club · Bronze
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Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(15)
Artificial Intelligence
(14)
Application Areas
(14)
Core AI
(14)
Optimization & Theory · Machine Learning
(12)
Computer Vision
(7)
Architectures
(7)
Optimization & Theory · Deep Learning
(7)
Models
(4)
Analysis
(3)
Processing
(3)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Keywords
model compression
(12)
vision transformer
(4)
knowledge distillation
(3)
model quantization
(3)
post-training quantization
(3)
image restoration
(2)
large language model
(2)
neural network optimization
(2)
image generation
(2)
model efficiency
(2)
convolutional neural network
(2)
flops reduction
(2)
network pruning
(2)
image demoiréing
(2)
neural architecture search
(2)
generative adversarial network
(2)
channel pruning
(2)
information bottleneck
(1)
neural network pruning
(1)
domain adaptation
(1)
Papers
Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation
ACL 2026
Automated Fine-Grained Mixture-of-Experts Quantization
ACL 2025
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
ICML 2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
ICML 2025
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
AAAI 2025
polybasic Speculative Decoding Through a Theoretical Perspective
ICML 2025
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
ICCV 2025
AffineQuant: Affine Transformation Quantization for Large Language Models
ICLR 2024
Learning Image Demoiréing from Unpaired Real Data
AAAI 2024
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer
ICML 2024
RepAn: Enhanced Annealing through Re-parameterization
CVPR 2024
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
ICCV 2023
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle
ICCV 2023
Bi-directional Masks for Efficient N:M Sparse Training
ICML 2023
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
AAAI 2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
ICCV 2023
Discriminator-Cooperated Feature Map Distillation for GAN Compression
CVPR 2023
Meta Architecture for Point Cloud Analysis
CVPR 2023
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
ICLR 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers
ICCV 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR 2023
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks
ECCV 2022
Fine-Grained Data Distribution Alignment for Post-Training Quantization
ECCV 2022
Learning Best Combination for Efficient N:M Sparsity
NeurIPS 2022
Neural Architecture Search With Representation Mutual Information
CVPR 2022
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
NeurIPS 2021
Towards Compact CNNs via Collaborative Compression
CVPR 2021