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2020

Conference Publication

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

2020

Journal Article

Flexible discrete multi-view hashing with collective latent feature learning

Liu, 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

Flexible discrete multi-view hashing with collective latent feature learning

2020

Conference Publication

CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language

Chen, Zhi, Li, Jingjing, Luo, Yadan, Huang, Zi and Yangyang, Yangyang (2020). CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language. IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO United States, 1-5 March 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV45572.2020.9093610

CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language

2020

Conference Publication

Graph-based relation-aware representation learning for clothing matching

Li, Yang, Luo, Yadan and Huang, Zi (2020). Graph-based relation-aware representation learning for clothing matching. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_15

Graph-based relation-aware representation learning for clothing matching

Featured

2020

Conference Publication

Progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society .

Progressive graph learning for open-set domain adaptation

2020

Conference Publication

Group recommendation with latent voting mechanism

Guo, 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

Group recommendation with latent voting mechanism

2020

Journal Article

Inductive structure consistent hashing via flexible semantic calibration

Zhang, 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

Inductive structure consistent hashing via flexible semantic calibration

2020

Conference Publication

PAIC: Parallelised Attentive Image Captioning

Wang, 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

PAIC: Parallelised Attentive Image Captioning

2020

Conference Publication

Semi-supervised cross-modal hashing with graph convolutional networks

Duan, 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

Semi-supervised cross-modal hashing with graph convolutional networks

2020

Conference Publication

Fashion recommendation with multi-relational representation learning

Li, 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

Fashion recommendation with multi-relational representation learning

2020

Conference Publication

Next point-of-interest recommendation on resource-constrained mobile devices

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Huang, Zi, Wang, Hao, Zhao, Yanchang and Viet Hung, Nguyen Quoc (2020). Next point-of-interest recommendation on resource-constrained mobile devices. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380170

Next point-of-interest recommendation on resource-constrained mobile devices

2020

Conference Publication

GCN-based user representation learning for unifying robust recommendation and fraudster detection

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Hung, Quoc Viet Nguyen, Huang, Zi and Cui, Lizhen (2020). GCN-based user representation learning for unifying robust recommendation and fraudster detection. SIGIR '20: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401165

GCN-based user representation learning for unifying robust recommendation and fraudster detection

2019

Journal Article

Scalable supervised asymmetric hashing with semantic and latent factor embedding

Zhang, 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

Scalable supervised asymmetric hashing with semantic and latent factor embedding

2019

Journal Article

Discrete hashing with multiple supervision

Luo, 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

Discrete hashing with multiple supervision

2019

Journal Article

Embedding and predicting the event at early stage

Liu, 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

Embedding and predicting the event at early stage

2019

Journal Article

Bidirectional discrete matrix factorization hashing for image search

He, 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

Bidirectional discrete matrix factorization hashing for image search

2019

Conference Publication

CRA-NEt: Composed relation attention network for visual question answering

Peng, 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

CRA-NEt: Composed relation attention network for visual question answering

2019

Conference Publication

Learning private neural language modeling with attentive aggregation

Ji, 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

Learning private neural language modeling with attentive aggregation

2019

Conference Publication

A Domain Adaptation Approach for Multistream Classification

Xie, 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

A Domain Adaptation Approach for Multistream Classification

2019

Conference Publication

Deep collaborative discrete hashing with semantic-invariant structure

Wang, 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

Deep collaborative discrete hashing with semantic-invariant structure