Chong Yu
19 papers · 2016–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(12)
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Keyword Champion
(2)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(84)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(12)
Application Areas
(12)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types Β· Machine Learning
(6)
Optimization & Theory Β· Deep Learning
(6)
Architectures
(5)
Techniques
(4)
Learning Types Β· Deep Learning
(3)
Models
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Keywords
model compression
(10)
knowledge distillation
(6)
adversarial robustness
(3)
neural network pruning
(3)
generative adversarial network
(3)
adversarial attack
(2)
neural network compression
(2)
model sparsity
(2)
neural network
(2)
vision transformer
(2)
structured sparsity
(2)
parameter efficiency
(2)
attention mechanism
(1)
object detection
(1)
adversarial learning
(1)
latent dirichlet allocation
(1)
sentiment analysis
(1)
semantic segmentation
(1)
adversarial training
(1)
image generation
(1)
Papers
Boost Embodied AI Models with Robust Compression Boundary
IJCAI 2025
Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
CVPR 2025
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
CVPR 2025
Boosting Residual Networks with Group Knowledge
AAAI 2024
Enhanced Sparsification via Stimulative Training
ECCV 2024
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
CVPR 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
CVPR 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
NeurIPS 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
IJCAI 2024
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
IJCAI 2023
Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization
ACL 2023
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization
CVPR 2023
Channel Permutations for N:M Sparsity
NeurIPS 2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner
CVPR 2021
Attention Based Data Hiding with Generative Adversarial Networks
AAAI 2020
Self-Supervised Generative Adversarial Compression
NeurIPS 2020
Semi-supervised Three-dimensional Reconstruction Framework with GAN
IJCAI 2019
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model
ACML 2016
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis
ACML 2016