← Authors

Jianyuan Guo

27 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (22) πŸ† Grand Slam πŸ’Ž Century Club (26) πŸ—ƒοΈ Keyword Collector (101) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

CVPR (12) NIPS (9) ICML (2) AAAI (1) ECCV (1) ICCV (1) ICLR (1)

Top co-authors

Kai Han (22) Yunhe Wang (22) Chang Xu (14) Yehui Tang (11) Han Wu (8) Xinghao Chen (7) Chao Zhang (5) Chao Xu (5) Chunjing XU (5) Han Hu (4)

Keywords

model compression (8) object detection (8) image classification (6) vision transformer (5) knowledge distillation (5) convolutional neural network (4) neural architecture search (3) feature pyramid network (2) long-range dependency (2) visual transformer (2) neural architecture (2) patch embedding (2) self-attention mechanism (2) semantic segmentation (2) efficient computing (2) model pretraining (2) attention mechanism (2) neural network optimization (2) feature fusion (2) self-supervised learning (1)

Papers

KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs AAAI 2026
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning ECCV 2024
Data-efficient Large Vision Models through Sequential Autoregression ICML 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks CVPR 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer ICML 2024
VanillaNet: the Power of Minimalism in Deep Learning NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NIPS 2023
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NIPS 2023
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion ICLR 2023
Masked Image Modeling With Local Multi-Scale Reconstruction CVPR 2023
Vision GNN: An Image is Worth Graph of Nodes NIPS 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022
Brain-Inspired Multilayer Perceptron With Spiking Neurons CVPR 2022
An Image Patch Is a Wave: Phase-Aware Vision MLP CVPR 2022
Patch Slimming for Efficient Vision Transformers CVPR 2022
CMT: Convolutional Neural Networks Meet Vision Transformers CVPR 2022
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations NIPS 2022
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
Distilling Object Detectors via Decoupled Features CVPR 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021
Transformer in Transformer NIPS 2021
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020
GhostNet: More Features From Cheap Operations CVPR 2020
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification ICCV 2019