Geng Yuan
31 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(42)
π€
Dynamic Duo
(28)
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(15)
π
Century Club
(31)
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(100)
β
The Questioner
(2)
π₯
Unstoppable
(6)
Conferences
NIPS (8)
IJCAI (6)
AAAI (5)
ICLR (4)
CVPR (2)
ECCV (2)
ICML (2)
ICCV (1)
WACV (1)
Top co-authors
Keywords
model compression
(14)
mobile inference
(6)
vision transformer
(5)
neural architecture search
(5)
neural network pruning
(5)
sparse training
(5)
edge computing
(5)
structured pruning
(4)
neural network optimization
(4)
real-time inference
(3)
lottery ticket hypothesis
(3)
network pruning
(3)
image generation
(2)
efficient training
(2)
memory efficiency
(2)
generative model
(2)
weight initialization
(2)
attention mechanism
(2)
object detection
(2)
deep neural network
(2)
Papers
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
WACV 2026
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
IJCAI 2025
Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
ICLR 2025
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
ICLR 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
NIPS 2024
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
ICLR 2023
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
NIPS 2023
Data Level Lottery Ticket Hypothesis for Vision Transformers
IJCAI 2023
Towards Real-Time Segmentation on the Edge
AAAI 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
ICLR 2023
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
NIPS 2023
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
EfficientFormer: Vision Transformers at MobileNet Speed
NIPS 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
NIPS 2022
SparCL: Sparse Continual Learning on the Edge
NIPS 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization
IJCAI 2022
Real-Time Portrait Stylization on the Edge
IJCAI 2022
Teachers Do More Than Teach: Compressing Image-to-Image Models
CVPR 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
IJCAI 2021
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
IJCAI 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
AAAI 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices
AAAI 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
ICCV 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 2021