Yin Zhang

According to our database, Yin Zhang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders.

Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Efficient Data Representation Learning in Google-scale Systems.

Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).

Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Item Relationship Graph Neural Networks for E-Commerce.

Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.

Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi

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

Popularity-Opportunity Bias in Collaborative Filtering.

Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee

Proceedings of the WSDM '21, 2021

Vibe check: social resonance learning for enhanced recommendation.

Yin Zhang, Yun He, James Caverlee

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Adaptive Hierarchical Translation-based Sequential Recommendation.

Yin Zhang, Yun He, Jianling Wang, James Caverlee

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.

Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.

Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Consistency-Aware Recommendation for User-Generated Item List Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.

Ziwei Zhu, Yun He, Yin Zhang, James Caverlee

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.

Yin Zhang, Ziwei Zhu, Yun He, James Caverlee

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.

Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.

Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

CoRR, 2019

An Interpretable Neural Model with Interactive Stepwise Influence.

Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence.

Yin Zhang, James Caverlee

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Fairness-Aware Recommendation of Information Curators.

Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee

CoRR, 2018

Quality-aware neural complementary item recommendation.

Yin Zhang, Haokai Lu, Wei Niu, James Caverlee

Proceedings of the 12th ACM Conference on Recommender Systems, 2018