Haolong Xiang
12 papers · 2023–2026 · 3 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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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Bronze 🤝 Dynamic Duo (12) 🗃️ Keyword Collector (63)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(8)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(5)
Application Areas
(5)
Computer Vision
(3)
Deep Learning
(3)
Natural Language Processing
(3)
Core AI
(3)
Analysis
(2)
Applications
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Keywords
representation learning
(3)
contrastive learning
(3)
graph neural network
(2)
traffic prediction
(2)
frequency domain
(2)
recommender system
(2)
large language model
(2)
backdoor defense
(1)
named entity recognition
(1)
graph anomaly detection
(1)
batch normalization
(1)
multimodal learning
(1)
multi-label classification
(1)
message passing
(1)
relation extraction
(1)
anomaly detection
(1)
image processing
(1)
determinantal point process
(1)
backdoor attack
(1)
attention mechanism
(1)
Papers
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
AAAI 2026
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
IJCAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
ICML 2025
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
IJCAI 2025
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
IJCAI 2025
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
AAAI 2025
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
Attention Based Document-level Relation Extraction with None Class Ranking Loss
IJCAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023