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ORCIDLing Huang 0002
Person information
- affiliation: South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
- affiliation (PhD 2020): Sun Yat-sen University, Guangzhou, China
Other persons with the same name
- Ling Huang
- Ling Huang 0001 — DataVisor, Mountain View, CA, USA (and 2 more)
- Ling Huang 0003
![[0000-0003-1562-1371]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1562-1371")
— National University of Singapore, School of Public Health, Singapore (and 1 more)
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2020 – today
- 2024
[j41]Ling Huang, Han Zou, Xiao-Dong Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang:
Knowledge-reinforced explainable next basket recommendation. Neural Networks 180: 106675 (2024)- [j40]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2843-2857 (2024) - 2023
- [j39]Yuefang Gao, Zhen-Wei Huang, Zi-Yuan Huang, Ling Huang, Yingjie Kuang, Xiaojun Yang:
Multi-scale broad collaborative filtering for personalized recommendation. Knowl. Based Syst. 278: 110853 (2023) - [j38]Ling Huang, Chang-Dong Wang, Philip S. Yu:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j37]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan:
Adversarial Spam Detector With Character Similarity Network. IEEE Trans. Ind. Informatics 19(3): 2541-2551 (2023) - [j36]Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang:
Hybrid-Order Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12249-12263 (2023) - [j35]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j34]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9671-9684 (2023) - 2022
- [j33]Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang:
GHOC: A generative model for hybrid-order community detection. Int. J. Intell. Syst. 37(11): 9055-9079 (2022) - [j32]Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang:
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. Knowl. Based Syst. 243: 108463 (2022) - [j31]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li:
A Model-Bias Matrix Factorization Approach for Course Score Prediction. Neural Process. Lett. 54(5): 3583-3600 (2022) - [j30]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52(6): 5229-5241 (2022) - [j29]Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu:
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52(7): 5908-5922 (2022) - [j28]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j27]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. IEEE Trans. Ind. Informatics 18(3): 1458-1467 (2022) - [j26]Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai:
A BP Neural Network Based Recommender Framework With Attention Mechanism. IEEE Trans. Knowl. Data Eng. 34(7): 3029-3043 (2022) - [j25]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3405-3417 (2022) - [j24]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai:
Deep Rating and Review Neural Network for Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6726-6736 (2022) - [j23]Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie:
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6983-6997 (2022) - [i5]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-based Recommendation. CoRR abs/2203.06467 (2022) - [i4]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. CoRR abs/2204.11602 (2022) - 2021
- [j22]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68: 8-21 (2021) - [j21]Ling Huang, Chang-Dong Wang, Hongyang Chao:
oComm: Overlapping Community Detection in Multi-View Brain Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1582-1595 (2021) - [j20]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu:
Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. 51(3): 1571-1585 (2021) - [j19]Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang:
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. IEEE Trans. Ind. Informatics 17(3): 1679-1688 (2021) - [j18]Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie:
Temporal Hierarchical Graph Attention Network for Traffic Prediction. ACM Trans. Intell. Syst. Technol. 12(6): 68:1-68:21 (2021) - [j17]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15(4): 72:1-72:26 (2021) - [j16]Ling Huang, Chang-Dong Wang, Hongyang Chao:
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. IEEE Trans. Knowl. Data Eng. 33(6): 2520-2533 (2021) - [j15]Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu:
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5047-5060 (2021) - [c25]Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye:
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. ICDM 2021: 1198-1203 - [c24]Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. IJCNN 2021: 1-8 - [i3]Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR abs/2103.06105 (2021) - 2020
- [j14]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14(2): 22:1-22:19 (2020) - [j13]Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu:
MVStream: Multiview Data Stream Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3482-3496 (2020) - [c23]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c22]Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang:
Latent Space Clustering via Dual Discriminator GAN. DASFAA (1) 2020: 671-679
2010 – 2019
- 2019
- [j12]Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu:
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access 7: 19550-19563 (2019) - [j11]Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu:
Network Embedding via Community Based Variational Autoencoder. IEEE Access 7: 25323-25333 (2019) - [j10]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
PartNRL: Partial Nodes Representation Learning in Large-Scale Network. IEEE Access 7: 56457-56468 (2019) - [j9]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Yong Tang, Chengzhou Fu:
Inter-Intra Information Preserving Attributed Network Embedding. IEEE Access 7: 79463-79476 (2019) - [j8]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. Cogn. Syst. Res. 55: 164-174 (2019) - [j7]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai:
Brain network analysis for auditory disease: A twofold study. Neurocomputing 347: 230-239 (2019) - [j6]Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao:
LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing 366: 86-96 (2019) - [j5]Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin:
Direction recovery in undirected social networks based on community structure and popularity. Inf. Sci. 473: 31-43 (2019) - [j4]Qi-Ying Hu, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Item orientated recommendation by multi-view intact space learning with overlapping. Knowl. Based Syst. 164: 358-370 (2019) - [j3]Ling Huang, Hong-Yang Chao, Chang-Dong Wang:
Multi-view intact space clustering. Pattern Recognit. 86: 344-353 (2019) - [c21]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. AAAI 2019: 61-68 - [c20]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Higher-Order Multi-Layer Community Detection. AAAI 2019: 9945-9946 - [c19]Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang:
Network embedding with class discriminability. ACM TUR-C 2019: 52:1-52:5 - [c18]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. DASFAA (1) 2019: 175-190 - [c17]Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin:
Multi-view Outlier Detection in Deep Intact Space. ICDM 2019: 1132-1137 - [c16]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Constrained Matrix Factorization for Course Score Prediction. ICDM 2019: 1510-1515 - [c15]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai:
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. IJCAI 2019: 3905-3911 - [c14]Yongwei Tan, Ling Huang, Chang-Dong Wang:
A Dynamic Model + BFR Algorithm for Streaming Data Sorting. IScIDE (2) 2019: 406-417 - [c13]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. KDD 2019: 479-487 - [i2]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. CoRR abs/1901.04704 (2019) - [i1]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. CoRR abs/1906.04560 (2019) - 2018
- [j2]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Community Detection Using Attribute Homogenous Motif. IEEE Access 6: 47707-47716 (2018) - [c12]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Overlapping Community Detection in Multi-view Brain Network. BIBM 2018: 655-658 - [c11]Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-meso Structure. DASFAA (1) 2018: 20-36 - [c10]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang:
Low-Rank and Sparse Cross-Domain Recommendation Algorithm. DASFAA (1) 2018: 150-157 - [c9]Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Multi-view Proximity Learning for Clustering. DASFAA (2) 2018: 407-423 - [c8]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. ICDM 2018: 1043-1048 - [c7]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Stacked Discriminative Denoising Auto-encoder Based Recommender System. IScIDE 2018: 276-286 - 2017
- [c6]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Low-Rank and Sparse Matrix Completion for Recommendation. ICONIP (5) 2017: 3-13 - [c5]Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang:
Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. ICONIP (5) 2017: 46-56 - [c4]Xiang-Rui Peng, Ling Huang, Chang-Dong Wang:
A Hybrid Approach for Recovering Information Propagational Direction. ICONIP (5) 2017: 357-367 - [c3]Man-Rui Li, Ling Huang, Chang-Dong Wang:
Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation. IScIDE 2017: 665-675 - [c2]Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang:
Community Detection in Graph Streams by Pruning Zombie Nodes. PAKDD (1) 2017: 574-585 - 2016
- [j1]Wenkai Huang, Chang-Dong Wang, Shaoshu Huang, Zheng Li, Jian-Huang Lai, Ling Huang:
Long-term revenue maximization pricing scheme for cloud. Comput. Syst. Sci. Eng. 31(2) (2016) - 2015
- [c1]Huan Huang, Ling Huang, Chang-Dong Wang, Jie-Kai Huang, Yan-Jia Chen:
Application for Party Based on Cloud Platform. FCST 2015: 304-309
Coauthor Index
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j41] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [i5] [i4] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c25] [c24] [i3] [j14] [j13] [c23] [c22] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i2] [i1] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [j1] [c1]
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