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2019

Conference Publication

Agile domain adaptation

Li, Jingjing, Jing, Mengmeng, Xie, Yue, Lu, Ke and Huang, Zi (2019). Agile domain adaptation. International Joint Conference on Neural Networks, Budapest, Hungary, 14-19 July 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852479

Agile domain adaptation

2019

Conference Publication

Adaptive component embedding for unsupervised domain adaptation

Jing, Mengmeng, Li, Jingjing, Lu, Ke, Liu, Jieyan and Huang, Zi (2019). Adaptive component embedding for unsupervised domain adaptation. IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 8-12 July 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICME.2019.00286

Adaptive component embedding for unsupervised domain adaptation

2019

Conference Publication

From zero-shot learning to cold-start recommendation

Li, Jingjing, Jing, Mengmeng, Lu, Ke, Zhu, Lei, Yang, Yang and Huang, Zi (2019). From zero-shot learning to cold-start recommendation. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

From zero-shot learning to cold-start recommendation

2019

Conference Publication

Leveraging the Invariant Side of Generative Zero-Shot Learning

Li, Jingjing, Jing, Mengmeng, Lu, Ke, Ding, Zhengming, Zhu, Lei and Huang, Zi (2019). Leveraging the Invariant Side of Generative Zero-Shot Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA United States, 16-20 June 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/CVPR.2019.00758

Leveraging the Invariant Side of Generative Zero-Shot Learning

2019

Conference Publication

Alleviating feature confusion for generative zero-shot learning

Li, Jingjing, Zhu, Lei, Jing, Mengmeng, Yang, Yang Y., Lu, Ke and Huang, Zi (2019). Alleviating feature confusion for generative zero-shot learning. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350901

Alleviating feature confusion for generative zero-shot learning

2019

Conference Publication

MR-NET: exploiting mutual relation for visual relationship detection

Bin, Yi, Yang, Yang, Tao, Chaofan, Huang, Zi, Li, Jingjing and Shen, Heng Tao (2019). MR-NET: exploiting mutual relation for visual relationship detection. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v33i01.33018110

MR-NET: exploiting mutual relation for visual relationship detection

2018

Journal Article

Learning Discrete Hashing Towards Efficient Fashion Recommendation

Liu, 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

Learning Discrete Hashing Towards Efficient Fashion Recommendation

2018

Journal Article

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

Zhu, 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

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

2018

Journal Article

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Yin, 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

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

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

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