TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. - Xing Zhao 003; Qingquan Song; James Caverlee; Xia Hu 001 (RecSys Challenge, 2018)

Vitriol on Social Media: Curation and Investigation. - Xing Zhao 003; James Caverlee (SocInfo (1), 2018)

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. - Xing Zhao 003; Ziwei Zhu 001; Yin Zhang 011; James Caverlee (WSDM, 2020)

Learning to Hash with Graph Neural Networks for Recommender Systems. - Qiaoyu Tan; Ninghao Liu; Xing Zhao 003; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (WWW, 2020)

Addressing the Target Customer Distortion Problem in Recommender Systems. - Xing Zhao 003; Ziwei Zhu 001; Majid Alfifi; James Caverlee (WWW, 2020)

Popularity Bias in Dynamic Recommendation. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (KDD, 2021)

Popularity-Opportunity Bias in Collaborative Filtering. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; Yin Zhang 011; Jianling Wang; James Caverlee (WSDM, 2021)

Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. - Xing Zhao 003; Ziwei Zhu 001; James Caverlee (WWW, 2021)

RES: An Interpretable Replicability Estimation System for Research Publications. - Zhuoer Wang; Qizhang Feng; Mohinish Chatterjee; Xing Zhao 003; Yezi Liu; Yuening Li; Abhay Kumar Singh; Frank M. Shipman; Xia Hu 001; James Caverlee (AAAI, 2022)

Evolution of Popularity Bias: Empirical Study and Debiasing. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (CoRR, 2022)