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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 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 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 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 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 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 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 |
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2023 Conference Publication Imbalanced node classification beyond homophilic assumptionLiu, Jie, He, Mengting, Wang, Guangtao, Nguyen, Quoc Viet Hung, Shang, Xuequn and Yin, Hongzhi (2023). Imbalanced node classification beyond homophilic assumption. Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, SAR, 19-25 August 2023. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2023/848 |
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2022 Conference Publication Locality aware temporal FMs for crime predictionMansha, Sameen, Rehman, Abdur, Abdullah, Shaaf, Kamiran, Faisal and Yin, Hongzhi (2022). Locality aware temporal FMs for crime prediction. 31st ACM International Conference on Information and Knowledge Management, Atlanta, GA, United States, 17-21 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557657 |
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2022 Conference Publication CIRCLE: continual repair across programming languagesYuan, Wei, Zhang, Quanjun, He, Tieke, Fang, Chunrong, Hung, Nguyen Quoc Viet, Hao, Xiaodong and Yin, Hongzhi (2022). CIRCLE: continual repair across programming languages. ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Online, 18 - 22 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3533767.3534219 |
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2022 Conference Publication Single-shot Embedding Dimension Search in Recommender SystemQu, Liang, Ye, Yonghong, Tang, Ningzhi, Zhang, Lixin, Shi, Yuhui and Yin, Hongzhi (2022). Single-shot Embedding Dimension Search in Recommender System. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3477495.3532060 |
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2022 Conference Publication Thinking inside The Box : Learning Hypercube Representations for Group RecommendationChen, Tong, Yin, Hongzhi, Long, Jing, Nguyen, Quoc Viet Hung, Wang, Yang and Wang, Meng (2022). Thinking inside The Box : Learning Hypercube Representations for Group Recommendation. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3477495.3532066 |
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2022 Conference Publication On-Device Next-Item Recommendation with Self-Supervised Knowledge DistillationXia, Xin, Yin, Hongzhi, Yu, Junliang, Wang, Qinyong, Xu, Guandong and Nguyen, Quoc Viet Hung (2022). On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3477495.3531775 |
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2022 Conference Publication Are Graph Augmentations Necessary? : Simple Graph Contrastive Learning for RecommendationYu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Cui, Lizhen and Nguyen, Quoc Viet Hung (2022). Are Graph Augmentations Necessary? : Simple Graph Contrastive Learning for Recommendation. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11 - 15 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3477495.3531937 |
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2022 Conference Publication Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2022). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icde53745.2022.00143 |
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2022 Conference Publication exRumourLens: Auditable Rumour Detection with Multi-View ExplanationsPhan, Thanh Cong, Nguyen, Thanh Tam, Weidlich, Matthias, Yin, Hongzhi, Jo, Jun and Nguyen, Quoc Viet Hung (2022). exRumourLens: Auditable Rumour Detection with Multi-View Explanations. 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icde53745.2022.00291 |
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2022 Conference Publication Network Alignment with Holistic Embeddings (Extended Abstract)Huynh, Thanh Trung, Duong, Thang Chi, Nguyen, Thanh Tam, Tong, Van Vinh, Sattar, Abdul, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2022). Network Alignment with Holistic Embeddings (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icde53745.2022.00131 |
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2022 Conference Publication Diverse Preference Augmentation with Multiple Domains for Cold-start RecommendationsZhang, Yan, Li, Changyu, Tsang, Ivor W., Xu, Hui, Duan, Lixin, Yin, Hongzhi, Li, Wen and Shao, Jie (2022). Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icde53745.2022.00265 |
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2022 Conference Publication Unified question generation with continual lifelong learningYuan, Wei, Yin, Hongzhi, He, Tieke, Chen, Tong, Wang, Qiufeng and Cui, Lizhen (2022). Unified question generation with continual lifelong learning. WWW 2022 - ACM Web Conference 2022, Virtual Event, Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511930 |
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2022 Conference Publication ClusterSCL: Cluster-Aware Supervised Contrastive Learning on GraphsWang, Yanling, Zhang, Jing, Li, Haoyang, Dong, Yuxiao, Yin, Hongzhi, Li, Cuiping and Chen, Hong (2022). ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. WWW '22: The ACM Web Conference 2022, Lyon, France, 25 - 29 April 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3485447.3512207 |
