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ORCIDRuihong Qiu
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2020 – today
- 2024
[c17]Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu
, Zetao Zheng, Zi Huang, Jie Shao:
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. AAAI 2024: 17150-17158- [c16]Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang:
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. CIKM 2024: 3269-3278 - [c15]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. ECIR (2) 2024: 80-95 - [c14]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR 2024: 2199-2209 - [e1]Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Murtaza Choudhury, Zhengyi Yang:
Databases Theory and Applications - 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings. Lecture Notes in Computer Science 14386, Springer 2024, ISBN 978-3-031-47842-0 [contents] - [i23]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR abs/2403.17780 (2024) - [i22]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation. CoRR abs/2405.11791 (2024) - [i21]Yilun Liu, Ruihong Qiu, Zi Huang:
GCondenser: Benchmarking Graph Condensation. CoRR abs/2405.14246 (2024) - [i20]Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang:
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. CoRR abs/2407.13163 (2024) - [i19]Hrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang:
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series. CoRR abs/2409.16554 (2024) - [i18]Zhizhen Zhang, Ruihong Qiu, Xiaohui Xie:
Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction. CoRR abs/2410.09345 (2024) - 2023
- [j3]Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu, Zi Huang:
Long short-term enhanced memory for sequential recommendation. World Wide Web (WWW) 26(2): 561-583 (2023) - [c13]Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang:
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. ADC 2023: 73-86 - [c12]Yanran Tang, Ruihong Qiu, Xue Li:
Prompt-Based Effective Input Reformulation for Legal Case Retrieval. ADC 2023: 87-100 - [c11]Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. ICDM 2023: 1157-1162 - [i17]Yanran Tang, Ruihong Qiu, Xue Li:
Prompt-based Effective Input Reformulation for Legal Case Retrieval. CoRR abs/2309.02962 (2023) - [i16]Yan Jiang, Ruihong Qiu, Yi Zhang, Zi Huang:
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media. CoRR abs/2309.04213 (2023) - [i15]Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang:
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. CoRR abs/2309.05951 (2023) - [i14]Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. CoRR abs/2309.09455 (2023) - [i13]Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang:
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. CoRR abs/2312.11229 (2023) - [i12]Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning with Graph Condensation. CoRR abs/2312.14439 (2023) - 2022
- [b1]Ruihong Qiu:
Modelling sequential patterns of user behaviour in recommender systems. University of Queensland, Australia, 2022 - [j2]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [c10]Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo:
FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. ADC 2022: 153-157 - [c9]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM 2022: 428-437 - [c8]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM 2022: 813-823 - [i11]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. CoRR abs/2209.03735 (2022) - 2021
- [c7]Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh:
Learning to Diversify for Single Domain Generalization. ICCV 2021: 814-823 - [c6]Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantics Disentangling for Generalized Zero-Shot Learning. ICCV 2021: 8692-8700 - [c5]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. ICDM 2021: 519-528 - [c4]Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang:
Mitigating Generation Shifts for Generalized Zero-Shot Learning. ACM Multimedia 2021: 844-852 - [c3]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. ACM Multimedia 2021: 3844-3852 - [i10]Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantic Disentangling Generalized Zero-Shot Learning. CoRR abs/2101.07978 (2021) - [i9]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. CoRR abs/2107.00846 (2021) - [i8]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. CoRR abs/2107.00852 (2021) - [i7]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. CoRR abs/2107.02390 (2021) - [i6]Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang:
Mitigating Generation Shifts for Generalized Zero-Shot Learning. CoRR abs/2107.03163 (2021) - [i5]Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh:
Learning to Diversify for Single Domain Generalization. CoRR abs/2108.11726 (2021) - [i4]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. CoRR abs/2109.00368 (2021) - [i3]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. CoRR abs/2110.05730 (2021) - 2020
- [j1]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 38(3): 22:1-22:23 (2020) - [c2]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020: 669-678 - [i2]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. CoRR abs/2007.02747 (2020)
2010 – 2019
- 2019
- [c1]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CIKM 2019: 579-588 - [i1]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CoRR abs/1911.11942 (2019)
Coauthor Index
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