Renqiang Luo

33 papers A* 10A 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Semantic Understanding and Popularity Bias with LLMs.
WWW
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 J jnl
Bridging Semantic Understanding and Popularity Bias with LLMs.
CoRR
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 — conf
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
EACL (Findings)
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 J jnl
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
CoRR
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 A* conf
Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models.
WWW
Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu
2026 J jnl
FairGC: Fairness-aware Graph Condensation.
CoRR
Yihan Gao, Chenxi Huang, Wen Shi, Ke Sun, Ziqi Xu, Xikun Zhang, Mingliang Hou, Renqiang Luo
2026 A* conf
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
WWW
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 J jnl
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
CoRR
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 A* conf
FairGU: Fairness-aware Graph Unlearning in Social Networks.
WWW
Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026 J jnl
FairGU: Fairness-aware Graph Unlearning in Social Networks.
CoRR
Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026 J jnl
NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information.
CoRR
Qing Qing, Huafei Huang, Mingliang Hou, Renqiang Luo, Mohsen Guizani
2026 J jnl
Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification.
CoRR
Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu
2026 A* conf
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 J jnl
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2025 A* conf
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing.
AAAI
Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo
2025 A* conf
Factor Graph-based Interpretable Neural Networks.
ICLR
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia
2025 J jnl
Factor Graph-based Interpretable Neural Networks.
CoRR
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia
2025 A* conf
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.
AAAI
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia
2025 J jnl
Fairness in Graph Learning Augmented with Machine Learning: A Survey.
CoRR
Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang
2025 J jnl
Graph Learning.
CoRR
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 J jnl
Graph Learning.
Found. Trends Signal Process.
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 J jnl
Let's Grow an Unbiased Community: Guiding the Fairness of Graphs via New Links.
CoRR
Jiahua Lu, Huaxiao Liu, Shuotong Bai, Junjie Xu, Renqiang Luo, Enyan Dai
2025 J jnl
Multi-type social patterns-based graph learning.
Neurocomputing
Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia
2025 J jnl
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models.
CoRR
Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo
2025 J jnl
PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis.
CoRR
Mingliang Hou, Yinuo Wang, Teng Guo, Zitao Liu, Wenzhou Dou, Jiaqi Zheng, Renqiang Luo, Mi Tian, Weiqi Luo
2025 A conf
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CIKM
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2025 J jnl
Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.
CoRR
Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia
2024 J jnl
Algorithmic Fairness: A Tolerance Perspective.
CoRR
Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang
2024 A* conf
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
KDD
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.
CoRR
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia
2024 A* conf
FairGT: A Fairness-aware Graph Transformer.
IJCAI
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGT: A Fairness-aware Graph Transformer.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia