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2023 Edited Outputs Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part IIXin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao and Hongzhi Yin eds. (2023). Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part II. 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, 17-20 April 2023. Heidelberg, Germany: Springer. |
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2023 Edited Outputs Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part IVXin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao and Hongzhi Yin eds. (2023). Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part IV. 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, 17-20 April 2023. Heidelberg, Germany: Springer. |
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2023 Edited Outputs Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IXin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao and Hongzhi Yin eds. (2023). Database systems for advanced applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, 17-20 April 2023. Heidelberg, Germany: Springer. |
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2023 Journal Article Interpretable signed link prediction with signed infomax hyperbolic graphLuo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2023). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3991-4002. doi: 10.1109/TKDE.2021.3139035 |
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2023 Conference Publication Disconnected emerging knowledge graph oriented inductive link predictionZhang, Yufeng, Wang, Weiqing, Yin, Hongzhi, Zhao, Pengpeng, Chen, Wei and Zhao, Lei (2023). Disconnected emerging knowledge graph oriented inductive link prediction. 2023 IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, United States, 3-7 April 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde55515.2023.00036 |
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2023 Journal Article Who are the best adopters? User selection model for free trial item promotionWang, Shiqi, Gao, Chongming, Gao, Min, Yu, Junliang, Wang, Zongwei and Yin, Hongzhi (2023). Who are the best adopters? User selection model for free trial item promotion. IEEE Transactions on Big Data, 9 (2), 746-757. doi: 10.1109/tbdata.2022.3205334 |
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2023 Conference Publication Efficient and effective multi-modal queries through heterogeneous network embedding (extended abstract)Tam Nguyen, Thanh, Thang Duong, Chi, Yin, Hongzhi, Weidlich, Matthias, Son Mai, Thai, Aberer, Karl and Viet Hung Nguyen, Quoc (2023). Efficient and effective multi-modal queries through heterogeneous network embedding (extended abstract). 39th International Conference on Data Engineering (ICDE), Anaheim, CA, United States, 3-7 April 2023. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icde55515.2023.00322 |
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2023 Journal Article DeHIN: a decentralized framework for embedding large-scale heterogeneous information networksImran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2023). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3645-3657. doi: 10.1109/TKDE.2022.3141951 |
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2023 Conference Publication MMKGR: Multi-hop multi-modal knowledge graph reasoningZheng, Shangfei, Wang, Weiqing, Qu, Jianfeng, Yin, Hongzhi, Chen, Wei and Zhao, Lei (2023). MMKGR: Multi-hop multi-modal knowledge graph reasoning. 2023 IEEE 39th International Conference on Data Engineering (ICDE), Anaheim, CA, United States, 3-7 April 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde55515.2023.00015 |
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2023 Journal Article AutoML for deep recommender systems: a surveyZheng, Ruiqi, Qu, Liang, Cui, Bin, Shi, Yuhui and Yin, Hongzhi (2023). AutoML for deep recommender systems: a survey. ACM Transactions on Information Systems, 41 (4) 101, 1-38. doi: 10.1145/3579355 |
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2023 Journal Article Local feature-based mutual complexity for pixel-value-ordering reversible data hidingGao, Xinyi, Pan, Zhibin, Fan, Guojun, Zhang, Xiaoran and Yin, Hongzhi (2023). Local feature-based mutual complexity for pixel-value-ordering reversible data hiding. Signal Processing, 204 108833, 1-15. doi: 10.1016/j.sigpro.2022.108833 |
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2023 Conference Publication Learning to distill graph neural networksYang, Cheng, Guo, Yuxin, Xu, Yao, Shi, Chuan, Liu, Jiawei, Wang, Chunchen, Li, Xin, Guo, Ning and Yin, Hongzhi (2023). Learning to distill graph neural networks. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570480 |
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2023 Conference Publication Federated unlearning for on-device recommendationYuan, Wei, Yin, Hongzhi, Wu, Fangzhao, Zhang, Shijie, He, Tieke and Wang, Hao (2023). Federated unlearning for on-device recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570463 |
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2023 Conference Publication Knowledge enhancement for contrastive multi-behavior recommendationXuan, Hongrui, Liu, Yi, Li, Bohan and Yin, Hongzhi (2023). Knowledge enhancement for contrastive multi-behavior recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570386 |
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2023 Conference Publication Simplifying graph-based collaborative filtering for recommendationHe, Li, Wang, Xianzhi, Wang, Dingxian, Zou, Haoyuan, Yin, Hongzhi and Xu, Guandong (2023). Simplifying graph-based collaborative filtering for recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570451 |
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2023 Journal Article Time-Aware Dynamic Graph Embedding for Asynchronous Structural EvolutionYang, Yu, Yin, Hongzhi, Cao, Jiannong, Chen, Tong, Nguyen, Quoc Viet Hung, Zhou, Xiaofang and Chen, Lei (2023). Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Transactions on Knowledge and Data Engineering, 35 (9), 1-14. doi: 10.1109/tkde.2023.3246059 |
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2023 Journal Article ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferencesImran, Mubashir, Yin, Hongzhi, Chen, Tong, Hung, Nguyen Quoc Viet, Zhou, Alexander and Zheng, Kai (2023). ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferences. ACM Transactions on Information Systems, 41 (3) 65, 65:1-65:30 . doi: 10.1145/3560486 |
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2023 Journal Article Decentralized collaborative learning framework for next POI recommendationLong, Jing, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2023). Decentralized collaborative learning framework for next POI recommendation. ACM Transactions on Information Systems, 41 (3) 66, 66:1-66:25. doi: 10.1145/3555374 |
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2023 Journal Article Uniting heterogeneity, inductiveness, and efficiency for graph representation learningChen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2023). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 2103-2117. doi: 10.1109/TKDE.2021.3100529 |
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2023 Conference Publication Beyond double ascent via recurrent neural tangent kernel in sequential recommendationQiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053 |
