Jianyuan Guo
29 papers · 2019–2026 · 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 (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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Grand Slam
π€
Dynamic Duo
(22)
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Keyword Champion
(2)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(127)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(22)
Machine Learning
(20)
Computer Vision
(15)
Architectures
(15)
Application Areas
(14)
Analysis
(11)
Techniques
(10)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(6)
Core AI Β· Computer Vision
(6)
Optimization & Theory Β· Deep Learning
(6)
Core AI Β· Artificial Intelligence
(5)
Core Methods
(4)
Optimization & Theory Β· Machine Learning
(4)
Learning Types Β· Machine Learning
(3)
Keywords
object detection
(8)
model compression
(8)
image classification
(6)
vision transformer
(5)
knowledge distillation
(5)
convolutional neural network
(4)
attention mechanism
(3)
neural architecture search
(3)
feature pyramid network
(2)
patch embedding
(2)
visual transformer
(2)
self-attention mechanism
(2)
semantic segmentation
(2)
long-range dependency
(2)
neural architecture
(2)
neural network optimization
(2)
efficient computing
(2)
model pretraining
(2)
feature fusion
(2)
unsupervised pretraining
(1)
Papers
ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning
CVPR 2026
KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs
AAAI 2026
PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention
CVPR 2026
Data-efficient Large Vision Models through Sequential Autoregression
ICML 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
ICML 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
CVPR 2024
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
ECCV 2024
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
NeurIPS 2023
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
ICLR 2023
Masked Image Modeling With Local Multi-Scale Reconstruction
CVPR 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
NeurIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
NeurIPS 2023
VanillaNet: the Power of Minimalism in Deep Learning
NeurIPS 2023
An Image Patch Is a Wave: Phase-Aware Vision MLP
CVPR 2022
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations
NeurIPS 2022
Brain-Inspired Multilayer Perceptron With Spiking Neurons
CVPR 2022
CMT: Convolutional Neural Networks Meet Vision Transformers
CVPR 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
NeurIPS 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement
CVPR 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
NeurIPS 2022
Patch Slimming for Efficient Vision Transformers
CVPR 2022
Vision GNN: An Image is Worth Graph of Nodes
NeurIPS 2022
Distilling Object Detectors via Decoupled Features
CVPR 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
CVPR 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection
CVPR 2021
Transformer in Transformer
NeurIPS 2021
GhostNet: More Features From Cheap Operations
CVPR 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
CVPR 2020
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
ICCV 2019