Shu Wu
39 papers · 2017–2026 · 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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🗺️ Taxonomy Completionist (72) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🤝
Dynamic Duo
(29)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
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Prolific Year · Prolific
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
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Keyword Collector
(189)
Top co-authors
Research topics
Machine Learning
(29)
Artificial Intelligence
(22)
Deep Learning
(18)
Core AI
(17)
Core Methods
(15)
Learning Types · Machine Learning
(15)
Natural Language Processing
(14)
Architectures
(10)
Learning Types · Deep Learning
(8)
Applications
(7)
Resources & Methods
(7)
Learning Paradigms
(6)
Knowledge & Reasoning
(5)
Application Areas
(5)
Models
(4)
Keywords
large language model
(9)
graph neural network
(8)
representation learning
(4)
knowledge editing
(4)
multi-hop reasoning
(3)
reinforcement learning
(3)
text classification
(3)
graph classification
(3)
contrastive learning
(3)
temporal knowledge graph
(3)
hallucination detection
(2)
parameter-efficient fine-tuning
(2)
transfer learning
(2)
fact verification
(2)
few-shot learning
(2)
attention mechanism
(2)
in-context learning
(2)
graph representation
(2)
natural language inference
(2)
model editing
(2)
Papers
Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning
AAAI 2026
Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator
AAAI 2026
Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection
ACL 2026
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
ACL 2026
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
AAAI 2026
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling
ACL 2025
KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing
EMNLP 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
ICLR 2025
Personalized Text Generation with Contrastive Activation Steering
ACL 2025
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing
EMNLP 2025
SHARP: Steering Hallucination in LVLMs via Representation Engineering
EMNLP 2025
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
ACL 2025
Uncovering Overfitting in Large Language Model Editing
ICLR 2025
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
ACL 2024
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
ACL 2024
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
AAAI 2024
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
ACL 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NeurIPS 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
AAAI 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Text-Guided Molecule Generation with Diffusion Language Model
AAAI 2024
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
NeurIPS 2024
Counterfactual Debiasing for Fact Verification
ACL 2023
GSLB: The Graph Structure Learning Benchmark
NeurIPS 2023
Learning Latent Relations for Temporal Knowledge Graph Reasoning
ACL 2023
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
EMNLP 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NeurIPS 2023
GraphDIVE: Graph Classification by Mixture of Diverse Experts
IJCAI 2022
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
EMNLP 2022
A Graph-based Relevance Matching Model for Ad-hoc Retrieval
AAAI 2021
Cold-start Sequential Recommendation via Meta Learner
AAAI 2021
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
ACL 2020
Independence Promoted Graph Disentangled Networks
AAAI 2020
Session-Based Recommendation with Graph Neural Networks
AAAI 2019
A Convolutional Approach for Misinformation Identification
IJCAI 2017