Xingyu Wu
15 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(6)
🏆
Keyword Champion
🗃️
Keyword Collector
(65)
🚀
Conference Pioneer
💎
Century Club
(14)
📈
Trend Setter
⚡
Prolific Year
(7)
Conferences
AAAI (6)
IJCAI (4)
ICML (2)
ACL (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
feature selection
(4)
large language model
(3)
causal discovery
(2)
causal inference
(2)
local causal discovery
(2)
causal feature selection
(2)
feature learning
(1)
multi-label learning
(1)
semi-supervised learning
(1)
structure learning
(1)
feature extraction
(1)
representation learning
(1)
domain adaptation
(1)
graph learning
(1)
knowledge distillation
(1)
self-supervised learning
(1)
text generation
(1)
multi-label classification
(1)
neural architecture search
(1)
transfer learning
(1)
Papers
Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models
ACL 2026
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
AAAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
Towards Robustness and Explainability of Automatic Algorithm Selection
ICML 2025
Gradient-based Causal Feature Selection
IJCAI 2025
Hybrid Local Causal Discovery
IJCAI 2025
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
ICML 2024
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
IJCAI 2024
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
IJCAI 2024
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NIPS 2022
Multi-Label Causal Feature Selection
AAAI 2020
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
AAAI 2019