Publications

Full collection of publications on Google Scholar.

* indicates PhD student(s) mentored by me.

2024

Zhizhen Zhang, Ruihong Qiu, Xiaohui Xie, Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction, in Preprint 2024

Yilun Liu*, Ruihong Qiu, Zi Huang, GCondenser: Benchmarking Graph Condensation, in Preprint 2024

Yanran Tang*, Ruihong Qiu, Yilun Liu, Xue Li, Zi Huang, CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation, in Preprint 2024

Hrishikesh Patel*, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang, EMIT: Event-based Masked Autoencoders for Irregular Time Series Representation Learning, in IEEE International Conference on Data Mining (ICDM) 2024 (CORE A*)

Yi Zhang*, Ruihong Qiu, Jiajun Liu, Sen Wang, ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems, in ACM International Conference on Information and Knowledge Management (CIKM) 2024 (CORE A)

Yanran Tang*, Ruihong Qiu, Hongzhi Yin, Xue Li and Zi Huang, CaseLink: Inductive Graph Learning for Legal Case Retrieval, in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2024 (CORE A*)

Yilun Liu*, Ruihong Qiu, Yanran Tang, Zi Huang, Hongzhi Yin, PUMA: Efficient Continual Graph Learning with Graph Condensation, in IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024 (Q1)

Yanran Tang*, Ruihong Qiu, Yilun Liu, Xue Li and Zi Huang, CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs, in European Conference on Information Retrieval (ECIR) 2024 (CORE A)

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, in Annual AAAI Conference on Artificial Intelligence (AAAI) 2024 (CORE A*)

2023

Jiasheng Duan, Peng-Fei Zhang, Ruihong Qiu, Zi Huang, Long short-term enhanced memory for sequential recommendation, in World Wide Web 2023

Yan Jiang*, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang, Balanced and Explainable Social Media Analysis for Public Health with Large Language Models, in Australasian Database Conference (ADC) 2023 (Best Paper Award, Competition Winner 1/29 of Social Media Mining for Health (SMM4H))

Yilun Liu*, Ruihong Qiu, Zi Huang, CaT: Balanced Continual Graph Learning with Graph Condensation, in IEEE International Conference on Data Mining (ICDM) 2023 (CORE A*)

2022

Kaili Li, Haoran Duan, Linfeng Liu, Ruihong Qiu, Ben van den Akker, Bing-Jie Ni, Tong Chen, Hongzhi Yin, Zhiguo Yuan, Liu Ye, An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants, in Environmental Science & Technology (EST) 2022 (Q1)

Ruihong Qiu, Zi Huang, Hongzhi Yin, Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation, in IEEE International Conference on Data Mining (ICDM) 2022 (CORE A*, acceptance rate 9.8%)

Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation, in ACM International Conference on Web Search and Data Mining (WSDM) 2022 (CORE A*)

2021

Ruihong Qiu, Zi Huang, Chen Tong, Hongzhi Yin, Exploiting Positional Information for Session-based Recommendation, in ACM Transactions on Information Systems (TOIS) 2021 (Q1)

Ruihong Qiu, Zi Huang, Hongzhi Yin, Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation, in IEEE International Conference on Data Mining (ICDM) 2021 (CORE A*, acceptance rate 9.9%)

Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang, Semantics Disentangling for Generalized Zero-Shot Learning, in International Conference on Computer Vision (ICCV) 2021 (CORE A*)

Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh, Learning to Diversify for Single Domain Generalization in International Conference on Computer Vision (ICCV) 2021 (CORE A*)

Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang, CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation, in ACM International Conference on Multimedia (MM) 2021 (CORE A*, oral)

Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang, Enhancing Generalized Zero-Shot Learning by Visual Perturbation, in ACM International Conference on Multimedia (MM) 2021 (CORE A*)

2020

Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin, Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks, in ACM Transactions on Information Systems (TOIS) 2020 (Q1)

Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen, GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation, in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2020 (CORE A*)

2019

Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin, Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks, in ACM International Conference on Information and Knowledge Management (CIKM) 2019 (CORE A)