Publications

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang (2021). Towards Long-term Fairness in Recommendation. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM).

Ruoyuan Gao, Chirag Shah (2020). Counteracting Bias and Increasing Fairness in Search and Recommender Systems. The 14th ACM Conference on Recommender Systems (RecSys) [Tutorial].

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo (2020). Fairness-Aware Explainable Recommendation over Knowledge Graphs. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).

Sahil Verma, Ruoyuan Gao, Chirag Shah (2020). Facets of Fairness in Search and Recommendation. International Workshop on Algorithmic Bias in Search and Recommendation (ECIR-BIAS).

Ruoyuan Gao, Chirag Shah (2019). Toward Creating a Fairer Ranking in Search Engine Results. Information Processing and Management (IP&M).

Ruoyuan Gao, Chirag Shah (2019). How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. The ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR).

James MacGlashan, Monica Babes-Vroman, Kevin Winner, Ruoyuan Gao, Richard Adjogah, Michael Littman, Smaranda Muresan, others (2012). Learning to interpret natural language instructions. AAAI Workshop.

Monica Babes-Vroman, James MacGlashan, Ruoyuan Gao, Kevin Winner, Richard Adjogah, Michael Littman, Smaranda Muresan, others (2012). Learning to interpret natural language instructions. NAACL-HTL Workshop.

Yunhua Qu, Tianjiong Tao, Serge Sharoff, Narisong Jin, Ruoyuan Gao, Nan Zhang, Yuting Yang, Chengzhi Xu (2010). Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the `ZHE' aspect. Journal of Zhejiang University SCIENCE C.