Renqiang Luo

According to our database, Renqiang Luo authored at least 31 papers between 2024 and 2026.

Collaborative distances:

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

2026

RMTrans: Robust Multimodal Transformers for Patient Prognosis under Backdoor Threats.

Tao Tang, Guoqing Han, Renqiang Luo, Feng Ding, Shuo Yu, Ivan Lee

ACM Trans. Intell. Syst. Technol., June, 2026

Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects.

Hudi He, Fukun Wang, Zhe Wang, Xinyi Wang, Shuhan Ye, Jiarui Liu, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection.

Wen Shi, Zhe Wang, Huafei Huang, Qing Qing, Ziqi Xu, Qixin Zhang, Xikun Zhang, Renqiang Luo, Feng Xia

CoRR, May, 2026

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Xingtong Yu, Jiaxing Huang, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Qixin Zhang, Yongcheng Jing, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning.

Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu, Wentao Gao, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation.

Qing Qing, Xikun Zhang, Zhongyuan Zhang, Jiarui Liu, Xingtong Yu, Xiaotao Shen, Ziqi Xu, Qixin Zhang, Zhe Wang, Renqiang Luo

CoRR, May, 2026

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges.

Jingjing Zhou, Shiyu Huang, Qing Qing, Zuquan Yuan, Huafei Huang, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo, Ivan Lee

CoRR, May, 2026

Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection.

Jingjing Zhou, Yongshuai Yang, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo, Ivan Lee, Feng Xia

CoRR, May, 2026

FairGC: Fairness-aware Graph Condensation.

Yihan Gao, Chenxi Huang, Wen Shi, Ke Sun, Ziqi Xu, Xikun Zhang, Mingliang Hou, Renqiang Luo

CoRR, March, 2026

Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification.

Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu

CoRR, March, 2026

NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information.

Qing Qing, Huafei Huang, Mingliang Hou, Renqiang Luo, Mohsen Guizani

CoRR, March, 2026

When to Invoke: Refining LLM Fairness with Toxicity Assessment.

Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

Bridging Semantic Understanding and Popularity Bias with LLMs.

Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu

Proceedings of the ACM Web Conference 2026, 2026

FairGU: Fairness-aware Graph Unlearning in Social Networks.

Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.

Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models.

Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu

Proceedings of the ACM Web Conference 2026, 2026

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.

Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models.

Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo

CoRR, November, 2025

PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis.

Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo

CoRR, November, 2025

Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links.

Jiahua Lu, Huaxiao Liu, Shuotong Bai, Junjie Xu, Renqiang Luo, Enyan Dai

CoRR, August, 2025

Fairness in Graph Learning Augmented with Machine Learning: A Survey.

Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang

CoRR, April, 2025

Multi-type social patterns-based graph learning.

Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia

Neurocomputing, 2025

Graph Learning.

Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong

Found. Trends Signal Process., 2025

Factor Graph-based Interpretable Neural Networks.

Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.

Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.

Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing.

Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Algorithmic Fairness: A Tolerance Perspective.

Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang

CoRR, 2024

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.

Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FairGT: A Fairness-aware Graph Transformer.

Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024