|
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 |
|
2020 Conference Publication Next point-of-interest recommendation on resource-constrained mobile devicesWang, 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 |
|
2020 Conference Publication GCN-based user representation learning for unifying robust recommendation and fraudster detectionZhang, 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 |
|
2020 Conference Publication Graph-based relation-aware representation learning for clothing matchingLi, 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 |
|
2020 Conference Publication Progressive graph learning for open-set domain adaptationLuo, 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 . |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
2019 Conference Publication Rethinking the item order in session-based recommendation with graph neural networksQiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010 |
|
2019 Conference Publication SADIH: Semantic-Aware DIscrete HashingZhang, Zheng, Xie, Guo-sen, Li, Yang, Li, Sheng and Huang, Zi (2019). SADIH: Semantic-Aware DIscrete Hashing. 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.v33i01.33015853 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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. |
|
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 |
|
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 |
