Ruihong Qiu

According to our database, Ruihong Qiu authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CaseLink: Inductive Graph Learning for Legal Case Retrieval.

Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang

CoRR, 2024

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang

Proceedings of the Advances in Information Retrieval, 2024

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning.

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Long short-term enhanced memory for sequential recommendation.

Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu, Zi Huang

World Wide Web (WWW), March, 2023

PUMA: Efficient Continual Graph Learning with Graph Condensation.

Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang

CoRR, 2023

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.

Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang

CoRR, 2023

UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media.

Yan Jiang, Ruihong Qiu, Yi Zhang, Zi Huang

CoRR, 2023

CaT: Balanced Continual Graph Learning with Graph Condensation.

Yilun Liu, Ruihong Qiu, Zi Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Prompt-Based Effective Input Reformulation for Legal Case Retrieval.

Yanran Tang, Ruihong Qiu, Xue Li

Proceedings of the Databases Theory and Applications, 2023

Balanced and Explainable Social Media Analysis for Public Health with Large Language Models.

Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang

Proceedings of the Databases Theory and Applications, 2023

2022

Modelling sequential patterns of user behaviour in recommender systems

Ruihong Qiu

PhD thesis, 2022

Exploiting Positional Information for Session-Based Recommendation.

Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin

ACM Trans. Inf. Syst., 2022

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.

Ruihong Qiu, Zi Huang, Hongzhi Yin

Proceedings of the IEEE International Conference on Data Mining, 2022

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis.

Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo

Proceedings of the Databases Theory and Applications, 2022

2021

Semantic Disentangling Generalized Zero-Shot Learning.

Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

CoRR, 2021

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.

Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning.

Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation.

Ruihong Qiu, Zi Huang, Hongzhi Yin

Proceedings of the IEEE International Conference on Data Mining, 2021

Learning to Diversify for Single Domain Generalization.

Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantics Disentangling for Generalized Zero-Shot Learning.

Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks.

Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin

ACM Trans. Inf. Syst., 2020

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.

Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks.

Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019