Ling Huang

81 papers A* 10B 1Journal 52Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autoencoder-based contrastive learning for next basket recommendation.
Neural Networks
Ling Huang, Zhe-Yuan Li, Xiao-Dong Huang, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2026 J jnl
Price-aware graph-based recommendation using latent price vectors.
Int. J. Mach. Learn. Cybern.
Ling Huang, Yan-Huang Chen, Zhenyu Yang, Yuefang Gao, Zhen-Wei Huang, Chang-Dong Wang
2025 — conf
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction.
WWW (Companion Volume)
Yingjie Kuang, Tianchen Zhang, Zhen-Wei Huang, Zhongjie Zeng, Zhe-Yuan Li, Ling Huang, Yuefang Gao
2025 J jnl
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction.
CoRR
Yingjie Kuang, Tianchen Zhang, Zhen-Wei Huang, Zhongjie Zeng, Zhe-Yuan Li, Ling Huang, Yuefang Gao
2025 J jnl
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation.
IEEE Trans. Comput. Soc. Syst.
Xiao-Dong Huang, Ling Huang, Yuefang Gao, Zhe-Yuan Li, Pei-Yuan Lai, Chang-Dong Wang, Philip S. Yu
2025 J jnl
Knowledge-Reinforced Cross-Domain Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Ling Huang, Dong Huang, Han Zou, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2024 J jnl
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach.
IEEE Trans. Emerg. Top. Comput. Intell.
Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen
2024 J jnl
Higher-Order Smoothness Enhanced Graph Collaborative Filtering.
IEEE Trans. Big Data
Ling Huang, Zhi-yuan Li, Zhenyu He, Yuefang Gao
2024 — conf
Knowledge-aware Multi-scale Time Series Abnormal Segment Detection.
DASFAA (5)
Zhen-Wei Huang, Yuefang Gao, Ling Huang, Zhongjie Zeng, Jiaquan Chen, Yingjie Kuang
2024 J jnl
Knowledge-reinforced explainable next basket recommendation.
Neural Networks
Ling Huang, Han Zou, Xiao-Dong Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang
2023 J jnl
Adversarial Spam Detector With Character Similarity Network.
IEEE Trans. Ind. Informatics
Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan
2023 J jnl
G
IEEE Trans. Neural Networks Learn. Syst.
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2023 J jnl
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks.
IEEE Trans. Cybern.
Ling Huang, Chang-Dong Wang, Philip S. Yu
2023 J jnl
Hybrid-Order Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang
2023 J jnl
Multi-scale broad collaborative filtering for personalized recommendation.
Knowl. Based Syst.
Yuefang Gao, Zhen-Wei Huang, Ziyuan Huang, Ling Huang, Yingjie Kuang, Xiaojun Yang
2023 J jnl
Multiview Clustering via Proximity Learning in Latent Representation Space.
IEEE Trans. Neural Networks Learn. Syst.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
A BP Neural Network Based Recommender Framework With Attention Mechanism.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai
2022 J jnl
A Model-Bias Matrix Factorization Approach for Course Score Prediction.
Neural Process. Lett.
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li
2022 J jnl
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation.
IEEE Trans. Cybern.
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach.
CoRR
Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen
2022 J jnl
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network.
IEEE Trans. Syst. Man Cybern. Syst.
Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie
2022 J jnl
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation.
Knowl. Based Syst.
Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang
2022 J jnl
Deep Rating and Review Neural Network for Item Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai
2022 J jnl
G
CoRR
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
GHOC: A generative model for hybrid-order community detection.
Int. J. Intell. Syst.
Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang
2022 J jnl
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation.
IEEE Trans. Ind. Informatics
Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Multi-View Consensus Proximity Learning for Clustering.
IEEE Trans. Knowl. Data Eng.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Multiview Subspace Clustering With Grouping Effect.
IEEE Trans. Cybern.
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
2022 J jnl
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
IEEE Trans. Cybern.
Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
2021 J jnl
Adaptively Weighted Multiview Proximity Learning for Clustering.
IEEE Trans. Cybern.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu
2021 B conf
Attention-based Multi-proximity Preserved Attributed Network Embedding.
IJCNN
Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang
2021 J jnl
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data.
IEEE Trans. Ind. Informatics
Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang
2021 J jnl
Attributed Network Embedding with Micro-Meso Structure.
ACM Trans. Knowl. Discov. Data
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen
2021 J jnl
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism.
CoRR
Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021 — conf
Feature Gene Selection based on L1/2+2 Regularization.
ICBBS
Zhenyu He, Yong Liang, Ling Huang, Wenzhong Wang, Jinfeng Wang
2021 J jnl
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection.
IEEE Trans. Knowl. Data Eng.
Ling Huang, Chang-Dong Wang, Hongyang Chao
2021 J jnl
Relaxed multi-view clustering in latent embedding space.
Inf. Fusion
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2021 J jnl
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021 A* conf
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning.
ICDM
Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye
2021 J jnl
Temporal Hierarchical Graph Attention Network for Traffic Prediction.
ACM Trans. Intell. Syst. Technol.
Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie
2021 J jnl
oComm: Overlapping Community Detection in Multi-View Brain Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ling Huang, Chang-Dong Wang, Hongyang Chao
2020 J jnl
Community Detection by Motif-Aware Label Propagation.
ACM Trans. Knowl. Discov. Data
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2020 — conf
Latent Space Clustering via Dual Discriminator GAN.
DASFAA (1)
Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang
2020 J jnl
MVStream: Multiview Data Stream Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu
2020 A* conf
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection.
AAAI
Ling Huang, Hong-Yang Chao, Guangqiang Xie
2020 A* conf
Multi-View Clustering in Latent Embedding Space.
AAAI
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2019 — conf
A Dynamic Model + BFR Algorithm for Streaming Data Sorting.
IScIDE (2)
Yongwei Tan, Ling Huang, Chang-Dong Wang
2019 J jnl
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering.
IEEE Access
Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu
2019 A* conf
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism.
IJCAI
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai
2019 J jnl
Brain network analysis for auditory disease: A twofold study.
Neurocomputing
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai
2019 A* conf
Constrained Matrix Factorization for Course Score Prediction.
ICDM
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 A* conf
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.
AAAI
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019 J jnl
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.
CoRR
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019 J jnl
Direction recovery in undirected social networks based on community structure and popularity.
Inf. Sci.
Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin
2019 A* conf
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection.
KDD
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 J jnl
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection.
CoRR
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 A* conf
Higher-Order Multi-Layer Community Detection.
AAAI
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2019 J jnl
Inter-Intra Information Preserving Attributed Network Embedding.
IEEE Access
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Yong Tang, Chengzhou Fu
2019 J jnl
Item orientated recommendation by multi-view intact space learning with overlapping.
Knowl. Based Syst.
Qi-Ying Hu, Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2019 J jnl
LSCD: Low-rank and sparse cross-domain recommendation.
Neurocomputing
Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao
2019 A* conf
Multi-view Outlier Detection in Deep Intact Space.
ICDM
Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin
2019 — conf
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization.
DASFAA (1)
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2019 J jnl
Multi-view intact space clustering.
Pattern Recognit.
Ling Huang, Hong-Yang Chao, Chang-Dong Wang
2019 J jnl
Network Embedding via Community Based Variational Autoencoder.
IEEE Access
Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu
2019 — conf
Network embedding with class discriminability.
ACM TUR-C
Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang
2019 J jnl
PartNRL: Partial Nodes Representation Learning in Large-Scale Network.
IEEE Access
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2019 J jnl
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System.
Cogn. Syst. Res.
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2018 A* conf
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection.
ICDM
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 — conf
Attributed Network Embedding with Micro-meso Structure.
DASFAA (1)
Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen
2018 J jnl
Community Detection Using Attribute Homogenous Motif.
IEEE Access
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2018 — conf
Low-Rank and Sparse Cross-Domain Recommendation Algorithm.
DASFAA (1)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang
2018 — conf
Multi-view Proximity Learning for Clustering.
DASFAA (2)
Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 — conf
Overlapping Community Detection in Multi-view Brain Network.
BIBM
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 — conf
Stacked Discriminative Denoising Auto-encoder Based Recommender System.
IScIDE
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2017 — conf
A Hybrid Approach for Recovering Information Propagational Direction.
ICONIP (5)
Xiang-Rui Peng, Ling Huang, Chang-Dong Wang
2017 — conf
Community Detection in Graph Streams by Pruning Zombie Nodes.
PAKDD (1)
Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang
2017 — conf
Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation.
IScIDE
Man-Rui Li, Ling Huang, Chang-Dong Wang
2017 — conf
Low-Rank and Sparse Matrix Completion for Recommendation.
ICONIP (5)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2017 — conf
Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations.
ICONIP (5)
Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang
2016 J jnl
Long-term revenue maximization pricing scheme for cloud.
Comput. Syst. Sci. Eng.
Wenkai Huang, Chang-Dong Wang, Shaoshu Huang, Zheng Li, Jian-Huang Lai, Ling Huang
2015 — conf
Application for Party Based on Cloud Platform.
FCST
Huan Huang, Ling Huang, Chang-Dong Wang, Jie-Kai Huang, Yan-Jia Chen