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2019 Conference Publication Multi-hop path queries over knowledge graphs with neural memory networksWang, Qinyong, Yin, Hongzhi, Wang, Weiqing, Huang, Zi, Guo, Guibing and Nguyen, Quoc Viet Hung (2019). Multi-hop path queries over knowledge graphs with neural memory networks. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-18576-3_46 |
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2019 Conference Publication Curiosity-driven reinforcement learning for diverse visual paragraph generationLuo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Li, Jingjing and Yang, Yang (2019). Curiosity-driven reinforcement learning for diverse visual paragraph generation. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3343031.3350961 |
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2019 Conference Publication Agile domain adaptationLi, 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 |
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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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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 |
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2018 Journal Article Transfer independently together: a generalized framework for domain adaptationLi, 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 |
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2018 Journal Article Unsupervised deep hashing with similarity-adaptive and discrete optimizationShen, 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 |
