Application for Party Based on Cloud Platform. - Huan Huang; Ling Huang 002; Chang-Dong Wang 001; Jie-Kai Huang; Yan-Jia Chen (FCST, 2015)

Long-term revenue maximization pricing scheme for cloud. - Wenkai Huang; Chang-Dong Wang 001; Shaoshu Huang; Zheng Li; Jian-Huang Lai; Ling Huang 002 (Comput. Syst. Sci. Eng., 2016)

A Hybrid Approach for Recovering Information Propagational Direction. - Xiang-Rui Peng; Ling Huang 002; Chang-Dong Wang 001 (ICONIP (5), 2017)

Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. - Yi-Ning Xu; Lei Xu; Ling Huang 002; Chang-Dong Wang 001 (ICONIP (5), 2017)

Low-Rank and Sparse Matrix Completion for Recommendation. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (ICONIP (5), 2017)

Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation. - Man-Rui Li; Ling Huang 002; Chang-Dong Wang 001 (IScIDE, 2017)

Community Detection in Graph Streams by Pruning Zombie Nodes. - Yue Ding; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (PAKDD (1), 2017)

Overlapping Community Detection in Multi-view Brain Network. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (BIBM, 2018)

Multi-view Proximity Learning for Clustering. - Kun-Yu Lin; Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (DASFAA (2), 2018)

Low-Rank and Sparse Cross-Domain Recommendation Algorithm. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2018)

A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (ICDM, 2018)

Stacked Discriminative Denoising Auto-encoder Based Recommender System. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (IScIDE, 2018)

Community Detection Using Attribute Homogenous Motif. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Access, 2018)

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. - Zhi-Hong Deng 002; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (AAAI, 2019)

Higher-Order Multi-Layer Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (AAAI, 2019)

Network embedding with class discriminability. - Zi-Hua Li; Ling Huang 002; Kai Wang 063; Chang-Dong Wang 001; Wei Shi; Dong Huang 001 (ACM TUR-C, 2019)

Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2019)

Multi-view Outlier Detection in Deep Intact Space. - Yu-Xuan Ji; Ling Huang 002; Heng-Ping He; Chang-Dong Wang 001; Guangqiang Xie; Wei Shi; Kun-Yu Lin (ICDM, 2019)

Constrained Matrix Factorization for Course Score Prediction. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (ICDM, 2019)

BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. - Wu-Dong Xi; Ling Huang 002; Chang-Dong Wang 001; Yin-Yu Zheng; Jianhuang Lai (IJCAI, 2019)

A Dynamic Model + BFR Algorithm for Streaming Data Sorting. - Yongwei Tan; Ling Huang 002; Chang-Dong Wang 001 (IScIDE (2), 2019)

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (KDD, 2019)

A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao; Jian-Huang Lai; Philip S. Yu (IEEE Access, 2019)

PartNRL: Partial Nodes Representation Learning in Large-Scale Network. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Access, 2019)

Network Embedding via Community Based Variational Autoencoder. - Wei Shi; Ling Huang 002; Chang-Dong Wang 001; Juan-Hui Li; Yong Tang 001; Chengzhou Fu (IEEE Access, 2019)

Inter-Intra Information Preserving Attributed Network Embedding. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Yong Tang 001; Chengzhou Fu (IEEE Access, 2019)

SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (Cogn. Syst. Res., 2019)

LSCD: Low-rank and sparse cross-domain recommendation. - Ling Huang 002; Zhi-Lin Zhao 001; Chang-Dong Wang 001; Dong Huang 001; Hong-Yang Chao (Neurocomputing, 2019)

Brain network analysis for auditory disease: A twofold study. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Chuan Li 002; Jian-Huang Lai (Neurocomputing, 2019)

Direction recovery in undirected social networks based on community structure and popularity. - Yi-Ming Wen; Ling Huang 002; Chang-Dong Wang 001; Kun-Yu Lin (Inf. Sci., 2019)

Item orientated recommendation by multi-view intact space learning with overlapping. - Qi-Ying Hu; Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (Knowl. Based Syst., 2019)

Multi-view intact space clustering. - Ling Huang 002; Hong-Yang Chao; Chang-Dong Wang 001 (Pattern Recognit., 2019)

Multi-View Clustering in Latent Embedding Space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (AAAI, 2020)

MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. - Ling Huang 002; Hong-Yang Chao; Guangqiang Xie (AAAI, 2020)

Latent Space Clustering via Dual Discriminator GAN. - Heng-Ping He; Pei-Zhen Li; Ling Huang 002; Yu-Xuan Ji; Chang-Dong Wang 001 (DASFAA (1), 2020)

Community Detection by Motif-Aware Label Propagation. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Dong Huang 001 (ACM Trans. Knowl. Discov. Data, 2020)

MVStream: Multiview Data Stream Clustering. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Feature Gene Selection based on L1/2+2 Regularization. - Zhenyu He 009; Yong Liang 001; Ling Huang 002; Wenzhong Wang; Jinfeng Wang 003 (ICBBS, 2021)

StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. - Wen-Zhi Li; Ling Huang 002; Chang-Dong Wang 001; Yuxin Ye (ICDM, 2021)

Attention-based Multi-proximity Preserved Attributed Network Embedding. - Xing-Xing Liu; Kai Wang 063; Chang-Dong Wang 001; Ling Huang 002 (IJCNN, 2021)

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. - Zi-Yuan Hu; Jin Huang; Zhi-Hong Deng 002; Chang-Dong Wang 001; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (CoRR, 2021)

Relaxed multi-view clustering in latent embedding space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (Inf. Fusion, 2021)

oComm: Overlapping Community Detection in Multi-View Brain Network. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Adaptively Weighted Multiview Proximity Learning for Clustering. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Suohai Fan; Philip S. Yu (IEEE Trans. Cybern., 2021)

AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. - Guangqiang Xie; Runpeng Zhang; Yang Li 102; Ling Huang 002; Chang-Dong Wang 001; Hao Yang 024; Jiahao Liang (IEEE Trans. Ind. Informatics, 2021)

Temporal Hierarchical Graph Attention Network for Traffic Prediction. - Ling Huang 002; Xing-Xing Liu; Shu-Qiang Huang; Chang-Dong Wang 001; Wei Tu 001; Jia-Meng Xie; Shuai Tang; Wendi Xie (ACM Trans. Intell. Syst. Technol., 2021)

Attributed Network Embedding with Micro-Meso Structure. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Pei Chen 001 (ACM Trans. Knowl. Discov. Data, 2021)

HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao (IEEE Trans. Knowl. Data Eng., 2021)

Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. - Chang-Dong Wang 001; Man-Sheng Chen; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. - Ling Huang 002; Can-Rong Guan; Zhen-Wei Huang; Yuefang Gao; Yingjie Kuang; Chang-Dong Wang 001; C. L. Philip Chen (CoRR, 2022)

GHOC: A generative model for hybrid-order community detection. - Ling Huang 002; Yong Tang 001; Chengzhou Fu; Jinfeng Wang 003; Chang-Dong Wang 001 (Int. J. Intell. Syst., 2022)

DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. - Ling Huang 002; Bi-Yi Chen; Hai-Yi Ye; Ronghua Lin; Yong Tang 001; Min Fu; Jianyi Huang; Chang-Dong Wang 001 (Knowl. Based Syst., 2022)

A Model-Bias Matrix Factorization Approach for Course Score Prediction. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jianhuang Lai; Guangqiang Xie; Yang Li 102 (Neural Process. Lett., 2022)

Multiview Subspace Clustering With Grouping Effect. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

Node Pair Information Preserving Network Embedding Based on Adversarial Networks. - Chang-Dong Wang 001; Wei Shi; Ling Huang 002; Kun-Yu Lin; Dong Huang 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Cybern., 2022)

Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. - Yan-Hui Chen; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Ind. Informatics, 2022)

Multi-View Consensus Proximity Learning for Clustering. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

A BP Neural Network Based Recommender Framework With Attention Mechanism. - Chang-Dong Wang 001; Wu-Dong Xi; Ling Huang 002; Yin-Yu Zheng; Zi-Yuan Hu; Jian-Huang Lai (IEEE Trans. Knowl. Data Eng., 2022)

Deep Rating and Review Neural Network for Item Recommendation. - Wu-Dong Xi; Ling Huang 002; Chang-Dong Wang 001; Yin-Yu Zheng; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. - Chang-Dong Wang 001; Yan-Hui Chen; Wu-Dong Xi; Ling Huang 002; Guangqiang Xie (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Multiview Clustering via Proximity Learning in Latent Representation Space. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adversarial Spam Detector With Character Similarity Network. - Yan-Hui Chen; Ling Huang 002; Chang-Dong Wang 001; Min Fu; Shu-Qiang Huang; Jianyi Huang; Youwei Tan; Chenfan Yan (IEEE Trans. Ind. Informatics, 2023)

Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. - Ling Huang 002; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Cybern., 2023)

Multi-scale broad collaborative filtering for personalized recommendation. - Yuefang Gao; Zhen-Wei Huang; Zi-Yuan Huang; Ling Huang 002; Yingjie Kuang; Xiaojun Yang (Knowl. Based Syst., 2023)

Hybrid-Order Anomaly Detection on Attributed Networks. - Ling Huang 002; Ye Zhu; Yuefang Gao; Tuo Liu; Chao Chang 002; Caixing Liu; Yong Tang 001; Chang-Dong Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

G3SR: Global Graph Guided Session-Based Recommendation. - Zhi-Hong Deng 002; Chang-Dong Wang 001; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Knowledge-aware Multi-scale Time Series Abnormal Segment Detection. - Zhen-Wei Huang; Yuefang Gao; Ling Huang 002; Zhongjie Zeng; Jiaquan Chen; Yingjie Kuang (DASFAA (5), 2024)

Knowledge-reinforced explainable next basket recommendation. - Ling Huang 002; Han Zou; Xiao-Dong Huang; Yuefang Gao; Yingjie Kuang; Chang-Dong Wang 001 (Neural Networks, 2024)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. - Ling Huang 002; Can-Rong Guan; Zhen-Wei Huang; Yuefang Gao; Chang-Dong Wang 001; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Higher-Order Smoothness Enhanced Graph Collaborative Filtering. - Ling Huang 002; Zhi-Yuan Li; Zhenyu He 009; Yuefang Gao (IEEE Trans. Big Data, 2024)

CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction. - Yingjie Kuang; Tianchen Zhang; Zhen-Wei Huang; Zhongjie Zeng; Zhe-Yuan Li; Ling Huang 002; Yuefang Gao (WWW (Companion Volume), 2025)

Knowledge-Reinforced Cross-Domain Recommendation. - Ling Huang 002; Dong Huang 001; Han Zou; Yuefang Gao; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)