Yunqi Li

According to our database, Yunqi Li authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

Probing into the Fairness of Large Language Models: A Case Study of ChatGPT.

Yunqi Li, Lanjing Zhang, Yongfeng Zhang

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Fairness in Survival Outcome Prediction for Medical Treatments.

Yunqi Li, Hanxiong Chen, Lanjing Zhang, Yongfeng Zhang

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Fairness in Recommendation: Foundations, Methods, and Applications.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

ACM Trans. Intell. Syst. Technol., October, 2023

Fairness of ChatGPT.

Yunqi Li, Yongfeng Zhang

CoRR, 2023

Causal Inference for Recommendation: Foundations, Methods and Applications.

Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

CoRR, 2023

Causal Collaborative Filtering.

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

2022

A Survey on Trustworthy Recommender Systems.

Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

CoRR, 2022

Fairness in Recommendation: A Survey.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

CoRR, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Collaborative Reasoning.

Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal factorization machine for robust recommendation.

Yunqi Li, Hanxiong Chen, Juntao Tan, Yongfeng Zhang

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS).

Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Counterfactual Evaluation for Explainable AI.

Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.

Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang

CoRR, 2021

User-oriented Fairness in Recommendation.

Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Neural Collaborative Reasoning.

Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang

Proceedings of the WSDM '21, 2021

Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li, Yingqiang Ge, Yongfeng Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Personalized Fairness based on Causal Notion.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Counterfactual Explainable Recommendation.

Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li, Yingqiang Ge, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning Post-Hoc Causal Explanations for Recommendation.

Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang

CoRR, 2020