Haolong Xiang
12 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
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IJCAI (6)
AAAI (5)
ICML (1)
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Keywords
contrastive learning
(3)
representation learning
(3)
graph neural network
(2)
frequency domain
(2)
recommender system
(2)
traffic prediction
(2)
backdoor defense
(1)
multimodal learning
(1)
graph anomaly detection
(1)
named entity recognition
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batch normalization
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multi-label classification
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message passing
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fourier transform
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anomaly detection
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backdoor attack
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image processing
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attention mechanism
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tree structure
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determinantal point process
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Papers
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
AAAI 2026
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
ICML 2025
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
AAAI 2025
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
IJCAI 2025
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
IJCAI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
IJCAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
Attention Based Document-level Relation Extraction with None Class Ranking Loss
IJCAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023