Quality-aware neural complementary item recommendation. - Yin Zhang 011; Haokai Lu; Wei Niu 003; James Caverlee (RecSys, 2018)

Fairness-Aware Recommendation of Information Curators. - Ziwei Zhu 001; Jianling Wang; Yin Zhang 011; James Caverlee (CoRR, 2018)

Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. - Yin Zhang 011; James Caverlee (CIKM, 2019)

An Interpretable Neural Model with Interactive Stepwise Influence. - Yin Zhang 011; Ninghao Liu; Shuiwang Ji; James Caverlee; Xia Hu 001 (PAKDD (3), 2019)

Consistency-Aware Recommendation for User-Generated ItemList Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (CoRR, 2019)

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. - Yun He 001; Zhuoer Wang; Yin Zhang 011; Ruihong Huang; James Caverlee (EMNLP (1), 2020)

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. - Yun He 001; Ziwei Zhu 001; Yin Zhang 011; Qin Chen 001; James Caverlee (EMNLP (1), 2020)

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. - Yin Zhang 011; Ziwei Zhu 001; Yun He 001; James Caverlee (RecSys, 2020)

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. - Ziwei Zhu 001; Yun He 001; Yin Zhang 011; James Caverlee (RecSys, 2020)

Consistency-Aware Recommendation for User-Generated Item List Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (WSDM, 2020)

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. - Jianling Wang; Kaize Ding; Ziwei Zhu 001; Yin Zhang 011; James Caverlee (WSDM, 2020)

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)

Adaptive Hierarchical Translation-based Sequential Recommendation. - Yin Zhang 011; Yun He 001; Jianling Wang; James Caverlee (WWW, 2020)

Vibe check: social resonance learning for enhanced recommendation. - Yin Zhang 011; Yun He 001; James Caverlee (ASONAM, 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)

A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. - Yin Zhang 011; Derek Zhiyuan Cheng; Tiansheng Yao; Xinyang Yi; Lichan Hong; Ed H. Chi (WWW, 2021)

Item Relationship Graph Neural Networks for E-Commerce. - Weiwen Liu; Yin Zhang 011; Jianling Wang; Yun He 001; James Caverlee; Patrick P. K. Chan; Daniel S. Yeung; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 2022)

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). - Yin Zhang 011; Ruoxi Wang; Derek Zhiyuan Cheng; Tiansheng Yao; Xinyang Yi; Lichan Hong; James Caverlee; Ed H. Chi (KDD, 2023)

Efficient Data Representation Learning in Google-scale Systems. - Derek Zhiyuan Cheng; Ruoxi Wang; Wang-Cheng Kang; Benjamin Coleman; Yin Zhang 011; Jianmo Ni; Jonathan Valverde; Lichan Hong; Ed H. Chi (RecSys, 2023)

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. - Yin Zhang 011; Ruoxi Wang; Xiang Li; Tiansheng Yao; Andrew Evdokimov; Jonathan Valverde; Yuan Gao; Jerry Zhang; Evan Ettinger; Ed H. Chi; Derek Zhiyuan Cheng (RecSys, 2024)