Yunqi Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 31

Top Topics

Collaborative Filtering

Neighbor Selection

Discrete Optimization

Recommender Systems

Top Venues

Publications

Yunqi Li, Lanjing Zhang, Yongfeng Zhang
Probing into the Fairness of Large Language Models: A Case Study of ChatGPT. CISS (2024)
Yunqi Li, Hanxiong Chen, Lanjing Zhang, Yongfeng Zhang
Fairness in Survival Outcome Prediction for Medical Treatments. CISS (2024)
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR (2023)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. ICTIR (2023)
Yunqi Li, Yongfeng Zhang
Fairness of ChatGPT. CoRR (2023)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR (2022)
Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CIKM (2022)
Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CoRR (2022)
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Graph Collaborative Reasoning. WSDM (2022)
Yunqi Li, Hanxiong Chen, Juntao Tan, Yongfeng Zhang
Causal factorization machine for robust recommendation. JCDL (2022)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: A Survey. CoRR (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW (2022)
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
A Survey on Trustworthy Recommender Systems. CoRR (2022)
Yunqi Li, Yingqiang Ge, Yongfeng Zhang
Tutorial on Fairness of Machine Learning in Recommender Systems. SIGIR (2021)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. CoRR (2021)
Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang
Neural Collaborative Reasoning. WWW (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CoRR (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. CoRR (2021)
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Graph Collaborative Reasoning. CoRR (2021)
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
Counterfactual Evaluation for Explainable AI. CoRR (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CIKM (2021)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. CoRR (2021)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. WSDM (2021)
Yunqi Li, Yingqiang Ge, Yongfeng Zhang
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. CIKM (2021)
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
User-oriented Fairness in Recommendation. WWW (2021)
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
User-oriented Fairness in Recommendation. CoRR (2021)
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. SIGIR (2021)
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
Learning Post-Hoc Causal Explanations for Recommendation. CoRR (2020)
Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang
Neural Collaborative Reasoning. CoRR (2020)