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2021

Conference Publication

Proactive Privacy-preserving Learning for Retrieval

Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2021). Proactive Privacy-preserving Learning for Retrieval. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Online, 2–9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i4.16449

Proactive Privacy-preserving Learning for Retrieval

2021

Conference Publication

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2021). Memory augmented multi-instance contrastive predictive coding for sequential recommendation. IEEE International Conference on Data Mining, Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00063

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

2021

Conference Publication

Entropy-based uncertainty calibration for generalized zero-shot learning

Chen, Zhi, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Entropy-based uncertainty calibration for generalized zero-shot learning. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, 29 January-5 February 2021. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-69377-0_12

Entropy-based uncertainty calibration for generalized zero-shot learning

2020

Journal Article

Enhance social recommendation with adversarial graph convolutional networks

Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673

Enhance social recommendation with adversarial graph convolutional networks

2020

Conference Publication

Adversarial bipartite graph learning for video domain adaptation

Luo, Yadan, Huang, Zi, Wang, Zijian, Zhang, Zheng and Baktashmotlagh, Mahsa (2020). Adversarial bipartite graph learning for video domain adaptation. ACM International Conference on Multimedia, Seattle, WA, United States, 12-16 October 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3394171.3413897

Adversarial bipartite graph learning for video domain adaptation

2020

Conference Publication

Incomplete cross-modal retrieval with dual-aligned variational autoencoders

Jing, Mengmeng, Li, Jingjing, Zhu, Lei, Lu, Ke, Yang, Yang and Huang, Zi (2020). Incomplete cross-modal retrieval with dual-aligned variational autoencoders. MM '20: The 28th ACM International Conference on Multimedia, Online, 12-16 October 2020. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3394171.3413676

Incomplete cross-modal retrieval with dual-aligned variational autoencoders

2020

Conference Publication

Prototype-matching graph network for heterogeneous domain adaptation

Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2020). Prototype-matching graph network for heterogeneous domain adaptation. MM '20: 28th ACM International Conference on Multimedia, Online, October 2020. New York, NY, United States: ACM. doi: 10.1145/3394171.3413662

Prototype-matching graph network for heterogeneous domain adaptation

2020

Conference Publication

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

Chen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

2020

Journal Article

CRSAL: conversational recommender systems with adversarial learning

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592

CRSAL: conversational recommender systems with adversarial learning

2020

Journal Article

Suicidal ideation detection: a review of machine learning methods and applications

Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467

Suicidal ideation detection: a review of machine learning methods and applications

2020

Conference Publication

Completely unsupervised cross-modal hashing

Duan, Jiasheng, Zhang, Pengfei and Huang, Zi (2020). Completely unsupervised cross-modal hashing. 25th International Conference on Database Systems for Advanced Applications, DASFAA 2020, Jeju, South Korea, 24 - 27 September 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-59410-7_11

Completely unsupervised cross-modal hashing

2020

Conference Publication

Try this instead: personalized and interpretable substitute recommendation

Chen, Tong, Yin, Hongzhi, Ye, Guanhua, Huang, Zi, Wang, Yang and Wang, Meng (2020). Try this instead: personalized and interpretable substitute recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401042

Try this instead: personalized and interpretable substitute recommendation

2020

Conference Publication

GAG: global attributed graph neural network for streaming session-based recommendation

Qiu, Ruihong, Yin, Hongzhi, Huang, Zi and Chen, Tong (2020). GAG: global attributed graph neural network for streaming session-based recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China , 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401109

GAG: global attributed graph neural network for streaming session-based recommendation

2020

Journal Article

Correction to: Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2020). Correction to: Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (6), 2536-2536. doi: 10.1007/s11036-020-01600-9

Correction to: Deep-sea organisms tracking using dehazing and deep learning

2020

Journal Article

Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications

Min, Weiqing, Tian, Yonghong, Huang, Zi, Cheng, Wen-Huang and El Saddik, Abdulmotaleb (2020). Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications. IEEE Multimedia, 27 (3) 9186254, 8-11. doi: 10.1109/MMUL.2020.3017877

Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications

2020

Conference Publication

Human consensus-oriented image captioning

Wang, Ziwei, Huang, Zi and Luo, Yadan (2020). Human consensus-oriented image captioning. Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan, 7-15 January 2021. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2020/92

Human consensus-oriented image captioning

2020

Journal Article

Exploiting cross-session information for session-based recommendation with graph neural networks

Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764

Exploiting cross-session information for session-based recommendation with graph neural networks

2020

Journal Article

Deep collaborative discrete hashing with semantic-invariant structure construction

Wang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267

Deep collaborative discrete hashing with semantic-invariant structure construction

2020

Conference Publication

Semantics-reconstructing hashing for cross-modal retrieval

Zhang, Peng-Fei, Huang, Zi and Zhang, Zheng (2020). Semantics-reconstructing hashing for cross-modal retrieval. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11 - 14 May 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-47436-2_24

Semantics-reconstructing hashing for cross-modal retrieval

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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