Yun Zhou
18 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(95)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(11)
Deep Learning
(7)
Application Areas
(7)
Computer Vision
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Processing
(2)
Keywords
test-time adaptation
(2)
prompt engineering
(2)
adversarial learning
(1)
domain generalization
(1)
entropy minimization
(1)
pose estimation
(1)
natural language processing
(1)
bayesian inference
(1)
neuromorphic computing
(1)
knowledge distillation
(1)
model selection
(1)
confidence calibration
(1)
reinforcement learning
(1)
video understanding
(1)
person re-identification
(1)
cross-modal retrieval
(1)
embodied ai
(1)
efficient inference
(1)
visual reinforcement learning
(1)
model compression
(1)
Papers
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
Collaborative LLM Numerical Reasoning with Local Data Protection
AAAI 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
Lyapunov Probes for Hallucination Detection in Large Foundation Models
CVPR 2026
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
AAAI 2026
Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts
UAI 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
NAACL 2025
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
ICML 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
ReferSplat: Referring Segmentation in 3D Gaussian Splatting
ICML 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
AAAI 2024
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
EMNLP 2020
Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification
AAAI 2020
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
AAAI 2020
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training
IJCAI 2017
Incorporating Expert Judgement into Bayesian Network Machine Learning
IJCAI 2013