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2020 Conference Publication Group recommendation with latent voting mechanismGuo, Lei, Yin, Hongzhi, Wang, Qinyong, Cui, Bin, Huang, Zi and Cui, Lizhen (2020). Group recommendation with latent voting mechanism. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00018 |
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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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2020 Conference Publication PAIC: Parallelised Attentive Image CaptioningWang, Ziwei, Huang, Zi and Luo, Yadan (2020). PAIC: Parallelised Attentive Image Captioning. 31st Australasian Database Conference, ADC 2020, Melbourne, VIC, Australia, February 3–7, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_2 |
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2020 Conference Publication Semi-supervised cross-modal hashing with graph convolutional networksDuan, Jiasheng, Luo, Yadan, Wang, Ziwei and Huang, Zi (2020). Semi-supervised cross-modal hashing with graph convolutional networks. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_8 |
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2020 Conference Publication Fashion recommendation with multi-relational representation learningLi, Yang, Luo, Yadan and Huang, Zi (2020). Fashion recommendation with multi-relational representation learning. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11-14 May 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-47426-3_1 |
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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 Conference Publication Adaptive component embedding for unsupervised domain adaptationJing, 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 |
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2019 Conference Publication From zero-shot learning to cold-start recommendationLi, 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. |
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2019 Conference Publication Alleviating feature confusion for generative zero-shot learningLi, 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 |
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2019 Conference Publication MR-NET: exploiting mutual relation for visual relationship detectionBin, 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 |
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2019 Conference Publication Leveraging the Invariant Side of Generative Zero-Shot LearningLi, 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 |
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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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2019 Conference Publication CRA-NEt: Composed relation attention network for visual question answeringPeng, Liang, Yang, Y., Wang, Zheng, Wu, Xiao and Huang, Zi (2019). CRA-NEt: Composed relation attention network for visual question answering. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350925 |
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2019 Conference Publication Learning private neural language modeling with attentive aggregationJi, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464 |
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2019 Conference Publication A Domain Adaptation Approach for Multistream ClassificationXie, Yue, Li, Jingjing, Jing, Mengmeng, Lu, Ke and Huang, Zi (2019). A Domain Adaptation Approach for Multistream Classification. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-030-18590-9_42 |
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2019 Conference Publication Deep collaborative discrete hashing with semantic-invariant structureWang, Zijian, Luo, Yadan, Zhang, Zheng and Huang, Zi (2019). Deep collaborative discrete hashing with semantic-invariant structure. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331275 |
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2019 Conference Publication Cycle-consistent conditional adversarial transfer networksLi, Jingjing, Zhu, Lei, Chen, Erpeng, Lu, Ke, Ding, Zhengming and Huang, Zi (2019). Cycle-consistent conditional adversarial transfer networks. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350902 |
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2019 Conference Publication Enhancing collaborative filtering with generative augmentationWang, Qinyong, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Huang, Zi, Wang, Hao and Cui, Lizhen (2019). Enhancing collaborative filtering with generative augmentation. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330873 |
