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2024 Journal Article Identifying periods impacted by sewer inflow and infiltration using time series anomaly detectionGe, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Huang, Zi, Liu, Yanchen and Yuan, Zhiguo (2024). Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection. Water Research X, 25 100278, 100278. doi: 10.1016/j.wroa.2024.100278 |
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2024 Conference Publication ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender SystemsZhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2024). ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. New York, NY, USA: ACM. doi: 10.1145/3627673.3679633 |
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2024 Journal Article A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoringGe, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Zhang, Chenming, Huang, Zi and Yuan, Zhiguo (2024). A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring. Water Research, 261 122002, 122002. doi: 10.1016/j.watres.2024.122002 |
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2024 Conference Publication CaseLink: inductive graph learning for legal case retrievalTang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693 |
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2024 Conference Publication Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learningZhu, Anjie, Zhang, Peng-Fei, Qiu, Ruihong, Zheng, Zetao, Huang, Zi and Shao, Jie (2024). Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning. 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i15.29660 |
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2024 Book Chapter CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed GraphsTang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. Lecture Notes in Computer Science. (pp. 80-95) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6 |
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2024 Book Chapter Balanced and explainable social media analysis for public health with large language modelsJiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2024). Balanced and explainable social media analysis for public health with large language models. Databases Theory and Applications: 34th Australasian Database Conference, ADC 2023 Melbourne, VIC, Australia, November 1–3, 2023 Proceedings. (pp. 73-86) edited by Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Choudhury and Zhengyi Yang. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-47843-7_6 |
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2024 Journal Article PUMA: Efficient Continual Graph Learning for Node Classification With Graph CondensationLiu, Yilun, Qiu, Ruihong, Tang, Yanran, Yin, Hongzhi and Huang, Zi (2024). PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-12. doi: 10.1109/tkde.2024.3485691 |
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2023 Conference Publication CaT: balanced continual graph learning with graph condensationLiu, Yilun, Qiu, Ruihong and Huang, Zi (2023). CaT: balanced continual graph learning with graph condensation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00141 |
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2023 Conference Publication Prompt-based effective input reformulation for legal case retrievalTang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7 |
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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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2022 Other Outputs Modelling sequential patterns of user behaviour in recommender systemsQiu, Ruihong (2022). Modelling sequential patterns of user behaviour in recommender systems. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/09e70dc |
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2022 Conference Publication FluMA: An Intelligent Platform for Influenza Monitoring and AnalysisChen, Xi, Chen, Zhi, Wang, Zijian, Qiu, Ruihong and Luo, Yadan (2022). FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. 33rd Australasian Database Conference (ADC), Sydney, NSW Australia, 2-4 September 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-15512-3_12 |
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2022 Journal Article Long short-term enhanced memory for sequential recommendationDuan, Jiasheng, Zhang, Peng-Fei, Qiu, Ruihong and Huang, Zi (2022). Long short-term enhanced memory for sequential recommendation. World Wide Web, 26 (2), 1-23. doi: 10.1007/s11280-022-01056-9 |
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2022 Journal Article Exploiting positional information for session-based recommendationQiu, Ruihong, Huang, Zi, Chen, Tong and Yin, Hongzhi (2022). Exploiting positional information for session-based recommendation. ACM Transactions on Information Systems, 40 (2) 3473339, 1-24. doi: 10.1145/3473339 |
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2022 Conference Publication Contrastive learning for representation degeneration problem in sequential recommendationQiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433 |
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2022 Journal Article An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plantsLi, Kaili, Duan, Haoran, Liu, Linfeng, Qiu, Ruihong, van den Akker, Ben, Ni, Bing-Jie, Chen, Tong, Yin, Hongzhi, Yuan, Zhiguo and Ye, Liu (2022). An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants. Environmental Science and Technology, 56 (4) acs.est.1c05020, 2816-2826. doi: 10.1021/acs.est.1c05020 |
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2021 Conference Publication Semantics disentangling for generalized zero-shot learningChen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859 |
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2021 Conference Publication Mitigating Generation Shifts for Generalized Zero-Shot LearningChen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258 |
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2021 Conference Publication CausalRec: causal inference for visual debiasing in visually-aware recommendationQiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266 |
