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2021 Journal Article Aggregation-based graph convolutional hashing for unsupervised cross-modal retrievalZhang, Peng-Fei, Li, Yang, Huang, Zi and Xu, Xin-Shun (2021). Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval. IEEE Transactions on Multimedia, 24, 466-479. doi: 10.1109/TMM.2021.3053766 |
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2021 Journal Article On both cold-start and long-tail recommendation with social dataLi, Jingjing, Lu, Ke, Huang, Zi and Shen, Heng Tao (2021). On both cold-start and long-tail recommendation with social data. IEEE Transactions on Knowledge and Data Engineering, 33 (1) 8745499, 194-208. doi: 10.1109/TKDE.2019.2924656 |
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2020 Journal Article Enhance social recommendation with adversarial graph convolutional networksYu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673 |
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2020 Journal Article CRSAL: conversational recommender systems with adversarial learningRen, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592 |
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2020 Journal Article Suicidal ideation detection: a review of machine learning methods and applicationsJi, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467 |
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2020 Journal Article Correction to: Deep-sea organisms tracking using dehazing and deep learningLu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2020). Correction to: Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (6), 2536-2536. doi: 10.1007/s11036-020-01600-9 |
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2020 Journal Article Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applicationsMin, Weiqing, Tian, Yonghong, Huang, Zi, Cheng, Wen-Huang and El Saddik, Abdulmotaleb (2020). Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications. IEEE Multimedia, 27 (3) 9186254, 8-11. doi: 10.1109/MMUL.2020.3017877 |
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2020 Journal Article Exploiting cross-session information for session-based recommendation with graph neural networksQiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764 |
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2020 Journal Article Deep collaborative discrete hashing with semantic-invariant structure constructionWang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267 |
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2020 Journal Article Flexible discrete multi-view hashing with collective latent feature learningLiu, Luyao, Zhang, Zheng and Huang, Zi (2020). Flexible discrete multi-view hashing with collective latent feature learning. Neural Processing Letters, 52 (3), 1765-1791. doi: 10.1007/s11063-020-10221-y |
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2020 Journal Article Inductive structure consistent hashing via flexible semantic calibrationZhang, Zheng, Liu, Luyao, Luo, Yadan, Huang, Zi, Shen, Fumin, Shen, Heng Tao and Lu, Guangming (2020). Inductive structure consistent hashing via flexible semantic calibration. IEEE Transactions on Neural Networks and Learning Systems, 32 (10), 1-15. doi: 10.1109/tnnls.2020.3018790 |
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2019 Journal Article Scalable supervised asymmetric hashing with semantic and latent factor embeddingZhang, Zheng, Lai, Zhihui, Huang, Zi, Wong, Wai Keung, Xie, Guo-Sen, Liu, Li and Shao, Ling (2019). Scalable supervised asymmetric hashing with semantic and latent factor embedding. IEEE Transactions on Image Processing, 28 (10) 8709760, 4803-4818. doi: 10.1109/tip.2019.2912290 |
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2019 Journal Article Discrete hashing with multiple supervisionLuo, Xin, Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang and Xu, Xin-Shun (2019). Discrete hashing with multiple supervision. IEEE Transactions on Image Processing, 28 (6) 8610117, 2962-2975. doi: 10.1109/tip.2019.2892703 |
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2019 Journal Article Embedding and predicting the event at early stageLiu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Shen, Heng Tao (2019). Embedding and predicting the event at early stage. World Wide Web, 22 (3), 1055-1074. doi: 10.1007/s11280-018-0545-6 |
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2019 Journal Article Bidirectional discrete matrix factorization hashing for image searchHe, Shiyuan, Wang, Bokun, Wang, Zheng, Yang, Yang, Shen, Fumin, Huang, Zi and Shen, Heng Tao (2019). Bidirectional discrete matrix factorization hashing for image search. IEEE Transactions on Cybernetics, 50 (9) 8863122, 1-12. doi: 10.1109/tcyb.2019.2941284 |
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2018 Journal Article Learning Discrete Hashing Towards Efficient Fashion RecommendationLiu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Learning Discrete Hashing Towards Efficient Fashion Recommendation. Data Science and Engineering, 3 (4), 307-322. doi: 10.1007/s41019-018-0079-z |
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2018 Journal Article Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrievalZhu, Lei, Huang, Zi, Li, Zhihui, Xie, Liang and Shen, Heng Tao (2018). Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems, 29 (11) 8291840, 5264-5276. doi: 10.1109/TNNLS.2018.2797248 |
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2018 Journal Article Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender systemYin, Hongzhi, Wang, Weiqing, Chen, Liang, Du, Xingzhong, Hung Nguyen, Quoc Viet and Huang, Zi (2018). Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowledge-Based Systems, 157, 68-80. doi: 10.1016/j.knosys.2018.05.028 |
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2018 Journal Article Heterogeneous domain adaptation through progressive alignmentLi, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Heterogeneous domain adaptation through progressive alignment. IEEE Transactions on Neural Networks and Learning Systems, 30 (5) 8475006, 1-11. doi: 10.1109/TNNLS.2018.2868854 |
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2018 Journal Article Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist informationYang, Yang, Duan, Yaqian, Wang, Xinze, Huang, Zi, Xie, Ning and Shen, Heng Tao (2018). Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information. IEEE Transactions on Knowledge and Data Engineering, 31 (4) 8370064, 1-1. doi: 10.1109/TKDE.2018.2842190 |
