Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. - Ruihong Qiu; Jingjing Li 001; Zi Huang; Hongzhi Yin (CIKM, 2019)

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. - Ruihong Qiu; Hongzhi Yin; Zi Huang; Tong Chen 005 (SIGIR, 2020)

Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. - Ruihong Qiu; Zi Huang; Jingjing Li 001; Hongzhi Yin (ACM Trans. Inf. Syst., 2020)

Semantics Disentangling for Generalized Zero-Shot Learning. - Zhi Chen 010; Yadan Luo; Ruihong Qiu; Sen Wang 001; Zi Huang; Jingjing Li 001; Zheng Zhang 006 (ICCV, 2021)

Learning to Diversify for Single Domain Generalization. - Zijian Wang 009; Yadan Luo; Ruihong Qiu; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2021)

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. - Ruihong Qiu; Zi Huang; Hongzhi Yin (ICDM, 2021)

Mitigating Generation Shifts for Generalized Zero-Shot Learning. - Zhi Chen 010; Yadan Luo; Sen Wang 001; Ruihong Qiu; Jingjing Li 001; Zi Huang (ACM Multimedia, 2021)

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. - Ruihong Qiu; Sen Wang 001; Zhi Chen 010; Hongzhi Yin; Zi Huang (ACM Multimedia, 2021)

Semantic Disentangling Generalized Zero-Shot Learning. - Zhi Chen 010; Ruihong Qiu; Sen Wang 001; Zi Huang; Jingjing Li 001; Zheng Zhang 006 (CoRR, 2021)

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. - Xi Chen; Zhi Chen 010; Zijian Wang 009; Ruihong Qiu; Yadan Luo (ADC, 2022)

Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. - Ruihong Qiu; Zi Huang; Hongzhi Yin (ICDM, 2022)

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. - Ruihong Qiu; Zi Huang; Hongzhi Yin; Zijian Wang 009 (WSDM, 2022)

Exploiting Positional Information for Session-Based Recommendation. - Ruihong Qiu; Zi Huang; Tong Chen 005; Hongzhi Yin (ACM Trans. Inf. Syst., 2022)

Modelling sequential patterns of user behaviour in recommender systems - Ruihong Qiu (2022)

Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. - Yan Jiang 007; Ruihong Qiu; Yi Zhang 105; Peng-Fei Zhang (ADC, 2023)

Prompt-Based Effective Input Reformulation for Legal Case Retrieval. - Yanran Tang; Ruihong Qiu; Xue Li 001 (ADC, 2023)

CaT: Balanced Continual Graph Learning with Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Zi Huang (ICDM, 2023)

UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media. - Yan Jiang 007; Ruihong Qiu; Yi Zhang 105; Zi Huang (CoRR, 2023)

PUMA: Efficient Continual Graph Learning with Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Yanran Tang; Hongzhi Yin; Zi Huang (CoRR, 2023)

Long short-term enhanced memory for sequential recommendation. - Jiasheng Duan; Peng-Fei Zhang; Ruihong Qiu; Zi Huang (World Wide Web (WWW), 2023)

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 001 (AAAI, 2024)

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. - Yi Zhang 105; Ruihong Qiu; Jiajun Liu; Sen Wang 001 (CIKM, 2024)

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. - Yanran Tang; Ruihong Qiu; Yilun Liu 005; Xue Li 001; Zi Huang (ECIR (2), 2024)

EMIT - Event-Based Masked Auto Encoding for Irregular Time Series. - Hrishikesh Patel; Ruihong Qiu; Adam Irwin; Shazia Sadiq; Sen Wang 001 (ICDM, 2024)

CaseLink: Inductive Graph Learning for Legal Case Retrieval. - Yanran Tang; Ruihong Qiu; Hongzhi Yin; Xue Li 001; Zi Huang (SIGIR, 2024)

CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation. - Yanran Tang; Ruihong Qiu; Yilun Liu 005; Xue Li 001; Zi Huang (CoRR, 2024)

GCondenser: Benchmarking Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Zi Huang (CoRR, 2024)

Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction. - Zhizhen Zhang; Ruihong Qiu; Xiaohui Xie (CoRR, 2024)

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation. - Danny Wang; Ruihong Qiu; Guangdong Bai; Zi Huang (ICLR, 2025)

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward. - Yi Zhang 105; Ruihong Qiu; Xuwei Xu; Jiajun Liu; Sen Wang 001 (SIGIR, 2025)

Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs. - Yung-Cheng Chuang; Ruihong Qiu (WWW (Companion Volume), 2025)

Graph Condensation: Foundations, Methods and Prospects. - Hongzhi Yin; Xinyi Gao 001; Junliang Yu; Ruihong Qiu; Tong Chen 005; Quoc Viet Hung Nguyen; Zi Huang (WWW (Companion Volume), 2025)

PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation. - Yilun Liu 005; Ruihong Qiu; Yanran Tang; Hongzhi Yin; Zi Huang (IEEE Trans. Knowl. Data Eng., 2025)

UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks. - Yanran Tang; Ruihong Qiu; Zi Huang (CoRR, 2025)