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Ling Huang

Intel (United Kingdom) · GB
Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Recommender Systems and Techniques, Complex Network Analysis Techniques, Advanced Graph Neural Networks, and Network Security and Intrusion Detection.
h-index
48
citations
11,523
works
222
NIH funding
primary concept
email

Recent publications

Autoencoder-based contrastive learning for next basket recommendation
Neural Networks 2026cited by 1position: contributordoi
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
2025cited by 1position: middledoi
Autoencoder-based contrastive learning for next basket recommendation
Neural Networks 2025cited by 1position: firstdoi
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
Companion Proceedings of the ACM on Web Conference 2025 2025cited by 1position: contributordoi
Knowledge-Reinforced Cross-Domain Recommendation
IEEE Transactions on Neural Networks and Learning Systems 2025cited by 0position: contributordoi
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation
IEEE Transactions on Computational Social Systems 2025cited by 0position: contributordoi
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
IEEE Transactions on Emerging Topics in Computational Intelligence 2024cited by 16position: firstdoi
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
IEEE Transactions on Emerging Topics in Computational Intelligence 2024cited by 15position: contributordoi
Knowledge-reinforced explainable next basket recommendation
Neural Networks 2024cited by 10position: contributordoi
Knowledge-reinforced explainable next basket recommendation
Neural Networks 2024cited by 9position: firstdoi
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
IEEE Transactions on Big Data 2024cited by 3position: firstdoi
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
IEEE Transactions on Big Data 2024cited by 3position: contributordoi
Hybrid-Order Anomaly Detection on Attributed Networks
IEEE Transactions on Knowledge and Data Engineering 2023cited by 38position: contributordoi
G<sup>3</sup>SR: Global Graph Guided Session-Based Recommendation
IEEE Transactions on Neural Networks and Learning Systems 2023cited by 33position: contributordoi
Multiview Clustering via Proximity Learning in Latent Representation Space
IEEE Transactions on Neural Networks and Learning Systems 2023cited by 26position: contributordoi
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks
IEEE Transactions on Cybernetics 2023cited by 15position: contributordoi
Multi-scale broad collaborative filtering for personalized recommendation
Knowledge-Based Systems 2023cited by 14position: middledoi
Multi-scale broad collaborative filtering for personalized recommendation
Knowledge-Based Systems 2023cited by 13position: contributordoi
Adversarial Spam Detector With Character Similarity Network
IEEE Transactions on Industrial Informatics 2023cited by 2position: contributordoi
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation
IEEE Transactions on Cybernetics 2022cited by 60position: contributordoi
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
IEEE Transactions on Industrial Informatics 2022cited by 55position: contributordoi
Deep Rating and Review Neural Network for Item Recommendation
IEEE Transactions on Neural Networks and Learning Systems 2022cited by 41position: contributordoi
Cross-Domain Explicit–Implicit-Mixed Collaborative Filtering Neural Network
IEEE Transactions on Systems, Man, and Cybernetics: Systems 2022cited by 18position: contributordoi
Multiview Subspace Clustering With Grouping Effect.
2022cited by 7position: contributordoi
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation
Knowledge-Based Systems 2022cited by 6position: firstdoi
Adversarial Spam Detector With Character Similarity Network
IEEE Transactions on Industrial Informatics 2022cited by 3position: middledoi
GHOC: A generative model for hybrid‐order community detection
International Journal of Intelligent Systems 2022cited by 2position: firstdoi
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
2022cited by 2position: contributordoi
Relaxed multi-view clustering in latent embedding space
Information Fusion 2021cited by 88position: contributordoi
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
IEEE Transactions on Industrial Informatics 2021cited by 57position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Chang‐Dong Wang · Ministry of Education of the People's Republic of China65 papers (2017–2026) · 32 papers (2019–2026) · 28 papers (2019–2026)Jianhuang Lai · Sun Yat-sen University25 papers (2018–2023)Dong Huang · South China Agricultural University15 papers (2017–2022)Philip S. Yu · University of Illinois Chicago12 papers (2020–2026)Philip S. Yu · University of Illinois Urbana-Champaign11 papers (2019–2025) · 9 papers (2019–2023)Yuefang Gao · South China Agricultural University9 papers (2023–2026)Yuefang Gao · South China Agricultural University7 papers (2021–2025)Man-Sheng Chen · Sun Yat-sen University5 papers (2019–2020)Hongyang Chao · Sun Yat-sen University4 papers (2018–2019)Peizhen Li · Tongji University3 papers (2018–2020)Wu-Dong Xi · NetEase (China)3 papers (2020–2021)Yanhui Chen · Beijing University of Technology3 papers (2021–2022)Baoyu Liu · Civil Aviation University of China3 papers (2019–2021)Yong Tang · Shenzhen University3 papers (2021–2022) · 3 papers (2020–2021) · 3 papers (2019–2022)Zhen-Wei Huang · South China Agricultural University3 papers (2023–2025)