Ruihong Qiu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Causal Inference

Top Venues

ACM Trans. Inf. Syst.

Publications

Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR (2024)
Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. CoRR (2024)
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)
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR (2024)
Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation. CoRR (2024)
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)
Yilun Liu, Ruihong Qiu, Zi Huang
GCondenser: Benchmarking Graph Condensation. CoRR (2024)
Yanran Tang, Ruihong Qiu, Xue Li
Prompt-based Effective Input Reformulation for Legal Case Retrieval. CoRR (2023)
Yilun Liu, Ruihong Qiu, Zi Huang
CaT: Balanced Continual Graph Learning with Graph Condensation. CoRR (2023)
Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. CoRR (2023)
Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. ADC (2023)
Yan Jiang, Ruihong Qiu, Yi Zhang, Zi Huang
UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media. CoRR (2023)
Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang
PUMA: Efficient Continual Graph Learning with Graph Condensation. CoRR (2023)
Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu, Zi Huang
Long short-term enhanced memory for sequential recommendation. World Wide Web (WWW) 26 (2) (2023)
Yilun Liu, Ruihong Qiu, Zi Huang
CaT: Balanced Continual Graph Learning with Graph Condensation. ICDM (2023)
Yanran Tang, Ruihong Qiu, Xue Li
Prompt-Based Effective Input Reformulation for Legal Case Retrieval. ADC (2023)
Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. CoRR (2023)
Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo
FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. ADC (2022)
Ruihong Qiu, Zi Huang, Hongzhi Yin
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM (2022)
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM (2022)
Ruihong Qiu, Zi Huang, Hongzhi Yin
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. CoRR (2022)
Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. CoRR (2021)
Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
Learning to Diversify for Single Domain Generalization. ICCV (2021)
Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang
Semantics Disentangling for Generalized Zero-Shot Learning. ICCV (2021)
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. CoRR (2021)
Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang
Mitigating Generation Shifts for Generalized Zero-Shot Learning. CoRR (2021)
Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
Learning to Diversify for Single Domain Generalization. CoRR (2021)
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
Exploiting Positional Information for Session-based Recommendation. CoRR (2021)
Ruihong Qiu, Zi Huang, Hongzhi Yin
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. ICDM (2021)
Ruihong Qiu, Zi Huang, Hongzhi Yin
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. CoRR (2021)
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. ACM Multimedia (2021)
Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang
Mitigating Generation Shifts for Generalized Zero-Shot Learning. ACM Multimedia (2021)
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. CoRR (2021)
Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang
Semantic Disentangling Generalized Zero-Shot Learning. CoRR (2021)
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) (2020)
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR (2020)
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. CoRR (2020)
Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CIKM (2019)
Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CoRR (2019)