Zheyu Zhang
13 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (33) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (63)
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Deep Learning
(6)
Machine Learning
(6)
Core AI
(6)
Core Methods
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Architectures
(3)
Analysis
(2)
Application Areas
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Resources & Methods
(2)
Keywords
large language model
(4)
tabular data generation
(3)
semantic segmentation
(2)
moral reasoning
(2)
brain tumor segmentation
(2)
magnetic resonance imaging
(2)
missing modality
(2)
dependency graph
(2)
medical imaging
(2)
multilingual nlp
(1)
point cloud analysis
(1)
conditional generation
(1)
feature importance
(1)
medical image analysis
(1)
attention mechanism
(1)
3d vision
(1)
multimodal learning
(1)
gradient boosting
(1)
mutual information
(1)
cross-lingual transfer
(1)
Papers
C^2FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
CVPR 2026
SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
ACL 2026
Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models
ACL 2026
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
EMNLP 2025
Efficient Spiking Point Mamba for Point Cloud Analysis
ICCV 2025
Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model
CVPR 2025
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
EMNLP 2025
Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
EMNLP 2025
Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
ACL 2025
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
EACL 2024
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
AAAI 2024
Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
CoNLL 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
IJCAI 2023