Yemin Shi
8 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Computer Vision
(1)
Generation
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
neural network quantization
(1)
model compression
(1)
feature alignment
(1)
model quantization
(1)
metric learning
(1)
adversarial learning
(1)
semi-supervised learning
(1)
few-shot learning
(1)
episodic learning
(1)
semidefinite programming
(1)
transfer learning
(1)
domain adaptation
(1)
cluster analysis
(1)
direct preference optimization
(1)
self-supervised learning
(1)
pseudo labeling
(1)
text-to-image generation
(1)
transductive inference
(1)
semi-supervised domain adaptation
(1)
acoustic model
(1)
Papers
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
AAAI 2025
AutoAgents: A Framework for Automatic Agent Generation
IJCAI 2024
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
ICLR 2024
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
CVPR 2021
Learning Open Set Network with Discriminative Reciprocal Points
ECCV 2020
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations
AAAI 2020
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
ICCV 2019
Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network
ICCV 2017