2021 Conference Publication Proactive Privacy-preserving Learning for RetrievalZhang, 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 |
2021 Conference Publication Memory augmented multi-instance contrastive predictive coding for sequential recommendationQiu, 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 |
2021 Conference Publication Entropy-based uncertainty calibration for generalized zero-shot learningChen, 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 |
2020 Journal Article Enhance social recommendation with adversarial graph convolutional networksYu, 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 |
2020 Conference Publication Adversarial bipartite graph learning for video domain adaptationLuo, 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 |
2020 Conference Publication Incomplete cross-modal retrieval with dual-aligned variational autoencodersJing, 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 |
2020 Conference Publication Prototype-matching graph network for heterogeneous domain adaptationWang, 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 |
2020 Conference Publication Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patchesChen, 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 |
2020 Journal Article CRSAL: conversational recommender systems with adversarial learningRen, 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 |
2020 Journal Article Suicidal ideation detection: a review of machine learning methods and applicationsJi, 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 |
2020 Conference Publication Completely unsupervised cross-modal hashingDuan, 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 |
2020 Conference Publication Try this instead: personalized and interpretable substitute recommendationChen, 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 |
2020 Conference Publication GAG: global attributed graph neural network for streaming session-based recommendationQiu, 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 |
2020 Journal Article Correction to: Deep-sea organisms tracking using dehazing and deep learningLu, 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 |
2020 Journal Article Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applicationsMin, 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 |
2020 Conference Publication Human consensus-oriented image captioningWang, 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 |
2020 Journal Article Exploiting cross-session information for session-based recommendation with graph neural networksQiu, 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 |
2020 Journal Article Deep collaborative discrete hashing with semantic-invariant structure constructionWang, 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 |
2020 Conference Publication Semantics-reconstructing hashing for cross-modal retrievalZhang, 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 |
Featured 2020 Conference Publication Learning from the past: continual meta-learning with Bayesian Graph Neural NetworksLuo, 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 |