Skip to menu Skip to content Skip to footer

2018

Journal Article

Heterogeneous domain adaptation through progressive alignment

Li, 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

Heterogeneous domain adaptation through progressive alignment

2018

Journal Article

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

Yang, 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

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

2018

Journal Article

Transfer independently together: a generalized framework for domain adaptation

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Transfer independently together: a generalized framework for domain adaptation. IEEE Transactions on Cybernetics, 49 (6) 8337102, 1-12. doi: 10.1109/TCYB.2018.2820174

Transfer independently together: a generalized framework for domain adaptation

2018

Journal Article

Unsupervised deep hashing with similarity-adaptive and discrete optimization

Shen, Fumin, Xu, Yan, Liu, Li, Yang, Yang, Huang, Zi and Shen, Heng Tao (2018). Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (12) 8247210, 1-1. doi: 10.1109/TPAMI.2018.2789887

Unsupervised deep hashing with similarity-adaptive and discrete optimization

2018

Conference Publication

TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation

Wang, Qinyong, Yin, Hongzhi, Wang, Hao and Huang, Zi (2018). TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_17

TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation

2018

Conference Publication

I read, I saw, I tell: texts assisted fine-grained visual classification

Li, Jingjing, Zhu, Lei, Huang, Zi, Lu, Ke and Zhao, Jidong (2018). I read, I saw, I tell: texts assisted fine-grained visual classification. 26th ACM Multimedia conference (MM 2018), Seoul, Republic of Korea, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3240508.3240579

I read, I saw, I tell: texts assisted fine-grained visual classification

2018

Conference Publication

Fast parallel path concatenation for graph extraction

Shao, Yingxia, Lei, Kai, Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2018). Fast parallel path concatenation for graph extraction. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16-19 April 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00234

Fast parallel path concatenation for graph extraction

2018

Conference Publication

Streaming ranking based recommender systems

Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Wang, Qinyong, Du, Xingzhong and Nguyen, Quoc Viet Hung (2018). Streaming ranking based recommender systems. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210016

Streaming ranking based recommender systems

2018

Conference Publication

Feature reconstruction by laplacian eigenmaps for efficient instance search

Ke, Bingqing, Shao, Jie, Huang, Zi and Shen, Heng Tao (2018). Feature reconstruction by laplacian eigenmaps for efficient instance search. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3206025.3206032

Feature reconstruction by laplacian eigenmaps for efficient instance search

2018

Conference Publication

Discrete deep learning for fast content-aware recommendation

Zhang, Yan, Yin, Hongzhi, Huang, Zi, Du, Xingzhong, Yang, Guowu and Lian, Defu (2018). Discrete deep learning for fast content-aware recommendation. 11th ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, United States, 5-9 February 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3159652.3159688

Discrete deep learning for fast content-aware recommendation

2018

Conference Publication

Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation

Liu, Luchen, Yang, Yang, Hu, Mengqiu, Xu, Xing, Shen, Fumin, Xie, Ning and Huang, Zi (2018). Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91458-9_37

Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation

2018

Conference Publication

Coarse-to-fine annotation enrichment for semantic segmentation learning

Luo, Yadan, Wang, Ziwei, Huang, Zi, Yang, Yang and Zhao, Cong (2018). Coarse-to-fine annotation enrichment for semantic segmentation learning. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3271672

Coarse-to-fine annotation enrichment for semantic segmentation learning

2018

Conference Publication

Discrete binary hashing towards efficient fashion recommendation

Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Discrete binary hashing towards efficient fashion recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Germany: Springer. doi: 10.1007/978-3-319-91452-7_8

Discrete binary hashing towards efficient fashion recommendation

2018

Conference Publication

Modal-adversarial semantic learning network for extendable cross-modal retrieval

Xu, Xing, Song, Jingkuan, Lu, Huimin, Yang, Yang, Shen, Fumin and Huang, Zi (2018). Modal-adversarial semantic learning network for extendable cross-modal retrieval. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3206025.3206033

Modal-adversarial semantic learning network for extendable cross-modal retrieval

2018

Conference Publication

Neural memory streaming recommender networks with adversarial training

Wang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004

Neural memory streaming recommender networks with adversarial training

2018

Conference Publication

Look deeper see richer: Depth-aware image paragraph captioning

Wang, Ziwei, Luo, Yadan, Li, Yang, Huang, Zi and Yin, Hongzhi (2018). Look deeper see richer: Depth-aware image paragraph captioning. 26th ACM Multimedia conference, MM 2018, Seoul, South Korea, October 22 - 26, 2018. New York, NY, Untied States: Association for Computing Machinery, Inc. doi: 10.1145/3240508.3240583

Look deeper see richer: Depth-aware image paragraph captioning

2018

Conference Publication

Joint event-partner recommendation in event-based social networks

Yin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088

Joint event-partner recommendation in event-based social networks

2018

Journal Article

Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2018). Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (3), 1008-1015. doi: 10.1007/s11036-018-1117-9

Deep-sea organisms tracking using dehazing and deep learning

2018

Conference Publication

Restricted boltzmann machine based active learning for sparse recommendation

Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Sun, Xiaoshuai and Hung, Nguyen Quoc Viet (2018). Restricted boltzmann machine based active learning for sparse recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_7

Restricted boltzmann machine based active learning for sparse recommendation

2017

Journal Article

Exploiting detected visual objects for frame-level video filtering

Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2017). Exploiting detected visual objects for frame-level video filtering. World Wide Web, 21 (5), 1-26. doi: 10.1007/s11280-017-0505-6

Exploiting detected visual objects for frame-level video filtering