Xingyu Wu
15 papers · 2019–2026 · 6 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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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze 𧬠Topic Evolution
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(81)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(10)
Learning Types
(9)
Core Methods
(6)
Knowledge & Reasoning
(5)
Reasoning
(5)
Optimization & Theory
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Representation
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Generation
(1)
Keywords
feature selection
(4)
large language model
(3)
local causal discovery
(2)
causal discovery
(2)
causal feature selection
(2)
causal inference
(2)
algorithm selection
(2)
feature learning
(1)
structure learning
(1)
semi-supervised learning
(1)
feature extraction
(1)
multi-label learning
(1)
robustness
(1)
representation learning
(1)
knowledge distillation
(1)
domain adaptation
(1)
self-supervised learning
(1)
text generation
(1)
multi-label classification
(1)
graph learning
(1)
Papers
Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models
ACL 2026
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
AAAI 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
Gradient-based Causal Feature Selection
IJCAI 2025
Hybrid Local Causal Discovery
IJCAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
Towards Robustness and Explainability of Automatic Algorithm Selection
ICML 2025
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
ICML 2024
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
IJCAI 2024
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
IJCAI 2024
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NeurIPS 2022
Multi-Label Causal Feature Selection
AAAI 2020
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
AAAI 2019