Ziheng Qin
8 papers · 2023–2026 · 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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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Application Areas
(4)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Resources & Methods
(1)
Keywords
large batch training
(2)
model quantization
(1)
vision-language model
(1)
continual learning
(1)
catastrophic forgetting
(1)
semi-supervised learning
(1)
binary classification
(1)
image forgery detection
(1)
deepfake detection
(1)
neural network optimization
(1)
max norm
(1)
sample selection
(1)
model training
(1)
low-rank adaptation
(1)
image classification
(1)
weight averaging
(1)
zero-shot transfer
(1)
edge computing
(1)
data pruning
(1)
active learning
(1)
Papers
Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
CVPR 2026
Info-Coevolution: An Efficient Framework for Data Model Coevolution
ICML 2025
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
ICML 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
Dataset Growth
ECCV 2024
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
ICLR 2024
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
AAAI 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
ICCV 2023