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2021 Journal Article Multifractal characterization of distribution synchrophasors for cybersecurity defense of smart gridsCui, Yi, Bai, Feifei, Yan, Ruifeng, Saha, Tapan, Mosadeghy, Mehdi, Yin, Hongzhi, Ko, Ryan K. L. and Liu, Yilu (2021). Multifractal characterization of distribution synchrophasors for cybersecurity defense of smart grids. IEEE Transactions on Smart Grid, 13 (2), 1658-1661. doi: 10.1109/tsg.2021.3132536 |
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2021 Journal Article Reinforced KGs reasoning for explainable sequential recommendationCui, Zhihong, Chen, Hongxu, Cui, Lizhen, Liu, Shijun, Liu, Xueyan, Xu, Guandong and Yin, Hongzhi (2021). Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web, 25 (2), 631-654. doi: 10.1007/s11280-021-00902-6 |
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2021 Journal Article Efficient streaming subgraph isomorphism with graph neural networksDuong, Chi Thang, Hoang, Trung Dung, Yin, Hongzhi, Weidlich, Matthias, Nguyen, Quoc Viet Hung and Aberer, Karl (2021). Efficient streaming subgraph isomorphism with graph neural networks. Proceedings of the VLDB Endowment, 14 (5), 730-742. doi: 10.14778/3446095.3446097 |
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2021 Conference Publication Subgraph convolutional network for recommendationZhao, Yan, Zhou, Lianming, Deng, Liwei, Zheng, Vincent W., Yin, Hongzhi and Zheng, Kai (2021). Subgraph convolutional network for recommendation. 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), Xi'an, China, 7-8 November 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/CCIS53392.2021.9754683 |
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2021 Conference Publication Recommending courses in MOOCs for jobs: an auto weak supervision approachHao, Bowen, Zhang, Jing, Li, Cuiping, Chen, Hong and Yin, Hongzhi (2021). Recommending courses in MOOCs for jobs: an auto weak supervision approach. European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Virtual, 14-18 September 2021. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-67667-4_3 |
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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 |
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2020 Journal Article Enhanced factorization machine via neural pairwise ranking and attention networksYu, Yonghong, Jiao, Lihong, Zhou, Ningning, Zhang, Li and Yin, Hongzhi (2020). Enhanced factorization machine via neural pairwise ranking and attention networks. Pattern Recognition Letters, 140, 348-357. doi: 10.1016/j.patrec.2020.11.010 |
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2020 Journal Article Entity alignment for knowledge graphs with multi-order convolutional networksNguyen, Tam Thanh, Huynh, Thanh Trung, Yin, Hongzhi, Tong, Vinh Van, Sakong, Darnbi, Zheng, Bolong and Nguyen, Quoc Viet Hung (2020). Entity alignment for knowledge graphs with multi-order convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (9), 1-1. doi: 10.1109/TKDE.2020.3038654 |
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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 |
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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 |
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2020 Journal Article Semantic trajectory representation and retrieval via hierarchical embeddingGao, Chongming, Zhang, Zhong, Huang, Chen, Yin, Hongzhi, Yang, Qinli and Shao, Junming (2020). Semantic trajectory representation and retrieval via hierarchical embedding. Information Sciences, 538, 176-192. doi: 10.1016/j.ins.2020.05.107 |
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2020 Journal Article Deep pairwise hashing for cold-start recommendationZhang, Yan, Tsang, Ivor, Yin, Hongzhi, Yang, Guowu, Lian, Defu and Li, Jingjing (2020). Deep pairwise hashing for cold-start recommendation. IEEE Transactions on Knowledge and Data Engineering, 34 (7), 1-1. doi: 10.1109/tkde.2020.3024022 |
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2020 Journal Article Overcoming data sparsity in group recommendationYin, Hongzhi, Wang, Qinyong, Zheng, Kai, Li, Zhixu and Zhou, Xiaofang (2020). Overcoming data sparsity in group recommendation. IEEE Transactions on Knowledge and Data Engineering, 34 (7), 1-1. doi: 10.1109/tkde.2020.3023787 |
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2020 Conference Publication Multi-level graph convolutional networks for cross-platform Anchor Link PredictionChen, Hongxu, Yin, Hongzhi, Sun, Xiangguo, Chen, Tong, Gabrys, Bogdan and Musial, Katarzyna (2020). Multi-level graph convolutional networks for cross-platform Anchor Link Prediction. ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Virtual Event, CA, United States, 23-27 August 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3394486.3403201 |
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2020 Conference Publication FactCatch: incremental pay-as-you-go fact checking with minimal user effortNguyen, Thanh Tam, Weidlich, Matthias, Yin, Hongzhi, Zheng, Bolong, Nguyen, Quang Huy and Nguyen, Quoc Viet Hung (2020). FactCatch: incremental pay-as-you-go fact checking with minimal user effort. 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: 10.1145/3397271.3401408 |
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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 |
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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 |
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2020 Journal Article TEAGS: time-aware text embedding approach to generate subgraphsHosseini, Saeid, Najafipour, Saeed, Cheung, Ngai-Man, Yin, Hongzhi, Kangavari, Mohammad Reza and Zhou, Xiaofang (2020). TEAGS: time-aware text embedding approach to generate subgraphs. Data Mining and Knowledge Discovery, 34 (4), 1136-1174. doi: 10.1007/s10618-020-00688-7 |
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2020 Journal Article User account linkage across multiple platforms with location dataChen, Wei, Wang, Weiqing, Yin, Hongzhi, Fang, Jun-Hua and Zhao, Lei (2020). User account linkage across multiple platforms with location data. Journal of Computer Science and Technology, 35 (4), 751-768. doi: 10.1007/s11390-020-0250-7 |
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2020 Conference Publication Discovering subsequence patterns for next POI recommendationZhao, Kangzhi, Zhang, Yong, Yin, Hongzhi, Wang, Jin, Zheng, Kai, Zhou, Xiaofang and Xing, Chunxiao (2020). Discovering subsequence patterns for next POI recommendation. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan, 11-17 July, 2020. California, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2020/445 |
