Shu Wu
39 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
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AAAI (10)
EMNLP (7)
NIPS (5)
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Top co-authors
Keywords
large language model
(8)
graph neural network
(8)
representation learning
(4)
reinforcement learning
(3)
graph classification
(3)
text classification
(3)
knowledge editing
(3)
temporal knowledge graph
(3)
recommender system
(2)
hallucination detection
(2)
molecular property prediction
(2)
contrastive learning
(2)
knowledge graph reasoning
(2)
multi-hop reasoning
(2)
attention mechanism
(2)
few-shot learning
(2)
natural language inference
(2)
fact verification
(2)
transfer learning
(2)
graph representation
(2)
Papers
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
AAAI 2026
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
ACL 2026
Reinforcement LearningβGuided Adaptive Tuning for Out-of-Distribution Harmful Text Detection
ACL 2026
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
Personalized Text Generation with Contrastive Activation Steering
ACL 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection
ACL 2025
Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling
ACL 2025
SHARP: Steering Hallucination in LVLMs via Representation Engineering
EMNLP 2025
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing
EMNLP 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing
EMNLP 2025
Uncovering Overfitting in Large Language Model Editing
ICLR 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
ICLR 2025
Text-Guided Molecule Generation with Diffusion Language Model
AAAI 2024
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
AAAI 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NIPS 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NIPS 2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
ACL 2024
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
NIPS 2024
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
ACL 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
AAAI 2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
ACL 2024
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
Learning Latent Relations for Temporal Knowledge Graph Reasoning
ACL 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NIPS 2023
GSLB: The Graph Structure Learning Benchmark
NIPS 2023
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
EMNLP 2023
Counterfactual Debiasing for Fact Verification
ACL 2023
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
EMNLP 2022
GraphDIVE: Graph Classification by Mixture of Diverse Experts
IJCAI 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