Minghai Qin
20 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (22) π Academic Marathon (5) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(8)
π
Academic Marathon
(5)
π€
Dynamic Duo
(12)
π
Grand Slam
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
π
Century Club
(20)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
CVPR (4)
ECCV (4)
AAAI (3)
ICLR (3)
NIPS (2)
WACV (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
model compression
(6)
edge computing
(4)
sparse training
(4)
vision transformer
(4)
neural network optimization
(3)
semantic segmentation
(2)
convolutional neural network
(2)
neural network
(2)
lottery ticket hypothesis
(2)
distributed inference
(1)
image compression
(1)
efficient training
(1)
neural architecture search
(1)
model pruning
(1)
video super-resolution
(1)
hyperparameter tuning
(1)
entropy estimation
(1)
network pruning
(1)
communication efficiency
(1)
spectral analysis
(1)
Papers
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
AAAI 2025
DISCO: Distributed Inference With Sparse Communications
WACV 2024
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
ECCV 2024
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
ICLR 2024
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
Towards Real-Time Segmentation on the Edge
AAAI 2023
Data Level Lottery Ticket Hypothesis for Vision Transformers
IJCAI 2023
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
ICLR 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
CVPR 2023
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
CVPR 2023
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
CHEX: CHannel EXploration for CNN Model Compression
CVPR 2022
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution
ECCV 2022
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
ICLR 2022
Learning From the CNN-Based Compressed Domain
WACV 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 2021
Learning in the Frequency Domain
CVPR 2020