| 2026 | ACL | TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only. | Yilun Liu, Ruihong Qiu, Zi Huang |
| 2026 | WSDM | Does Homophily Help in Robust Test-time Node Classification? | Yan Jiang, Ruihong Qiu, Zi Huang |
| 2025 | ADC | ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMs. | Yanran Tang, Ruihong Qiu, Xue Li, Zi Huang |
| 2025 | CIKM | GCondenser: Benchmarking Graph Condensation. | Yilun Liu, Ruihong Qiu, Zi Huang |
| 2025 | EMNLP | Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks. | Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang |
| 2025 | ICDM | Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation. | Yi Zhang, Lili Xie, Ruihong Qiu, Jiajun Liu, Sen Wang |
| 2025 | ICLR | GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation. | Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang |
| 2025 | WWW | Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs. | Yung-Cheng Chuang, Ruihong Qiu |
| 2025 | WWW | Graph Condensation: Foundations, Methods and Prospects. | Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang |
| 2025 | SIGIR | DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward. | Yi Zhang, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang |
| 2024 | AAAI | 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 |
| 2024 | CIKM | ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. | Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang |
| 2024 | ECIR | CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. | Yanran Tang, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang |
| 2024 | ICDM | EMIT - Event-Based Masked Auto Encoding for Irregular Time Series. | Hrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang |
| 2024 | SIGIR | CaseLink: Inductive Graph Learning for Legal Case Retrieval. | Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang |
| 2023 | ADC | Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. | Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang |
| 2023 | ADC | Prompt-Based Effective Input Reformulation for Legal Case Retrieval. | Yanran Tang, Ruihong Qiu, Xue Li |
| 2023 | ICDM | CaT: Balanced Continual Graph Learning with Graph Condensation. | Yilun Liu, Ruihong Qiu, Zi Huang |
| 2022 | ADC | FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. | Xi Chen, Zhi Chen, Zijian Wang, Ruihong Qiu, Yadan Luo |
| 2022 | ICDM | Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin |
| 2022 | WSDM | Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang |
| 2021 | ICCV | Semantics Disentangling for Generalized Zero-Shot Learning. | Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang |
| 2021 | ICCV | Learning to Diversify for Single Domain Generalization. | Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh |
| 2021 | ICDM | Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin |
| 2020 | SIGIR | GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. | Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen |
| 2019 | CIKM | Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. | Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin |