Book Chapter: CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
Tang, 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
Conference Publication: CaT: Balanced Continual Graph Learning with Graph Condensation
Liu, 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 Peoples R China, Dec 01-04, 2023. LOS ALAMITOS: IEEE. doi: 10.1109/icdm58522.2023.00141
Book Chapter: Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
Jiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2023). Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. Lecture Notes in Computer Science. (pp. 73-86) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-47843-7_6
(2022–2024) Australian Academy of Technological Sciences and Engineering
Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models
Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Doctor Philosophy
Expanding Data Sets to Allow Improved Critical Care for Children - Inpatient Risk Prediction
Doctor Philosophy
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
Tang, 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
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
Jiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2023). Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. Lecture Notes in Computer Science. (pp. 73-86) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-47843-7_6
Long short-term enhanced memory for sequential recommendation
Duan, 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
Exploiting positional information for session-based recommendation
Qiu, 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
Li, 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
Exploiting cross-session information for session-based recommendation with graph neural networks
Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764
CaT: Balanced Continual Graph Learning with Graph Condensation
Liu, 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 Peoples R China, Dec 01-04, 2023. LOS ALAMITOS: IEEE. doi: 10.1109/icdm58522.2023.00141
Prompt-based effective input reformulation for legal case retrieval
Tang, 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
Beyond double ascent via recurrent neural tangent kernel in sequential recommendation
Qiu, 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
FluMA: An Intelligent Platform for Influenza Monitoring and Analysis
Chen, 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
Contrastive learning for representation degeneration problem in sequential recommendation
Qiu, 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
CausalRec: causal inference for visual debiasing in visually-aware recommendation
Qiu, 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
Mitigating Generation Shifts for Generalized Zero-Shot Learning
Chen, 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
Semantics disentangling for generalized zero-shot learning
Chen, 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
Learning to diversify for single domain generalization
Wang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 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/ICCV48922.2021.00087
Memory augmented multi-instance contrastive predictive coding for sequential recommendation
Qiu, 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
GAG: global attributed graph neural network for streaming session-based recommendation
Qiu, 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
Rethinking the item order in session-based recommendation with graph neural networks
Qiu, 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
Modelling sequential patterns of user behaviour in recommender systems
Qiu, 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
(2022–2024) Australian Academy of Technological Sciences and Engineering
Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models
Doctor Philosophy — Associate Advisor
Other advisors:
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Doctor Philosophy — Associate Advisor
Other advisors:
Expanding Data Sets to Allow Improved Critical Care for Children - Inpatient Risk Prediction
Doctor Philosophy — Associate Advisor
Other advisors:
efficiency oriented multimedia system
Doctor Philosophy — Associate Advisor
Other advisors:
Data quality assurance in digitalisation of urban water management
Doctor Philosophy — Associate Advisor
Other advisors: