Yin Zhang

28 papers A* 3A 11B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey on LLMs for Story Generation.
EMNLP (Findings)
Maria Teleki, Vedangi Bengali, Xiangjue Dong, Sai Janjur, Haoran Liu, Tian Liu, Cong Wang, Ting Liu, Yin Zhang, Frank Shipman, James Caverlee
2025 A conf
Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems.
RecSys
Jonathan Valverde, Tiansheng Yao, Xiang Li, Yuan Gao, Yin Zhang, Andrew Evdokimov, Adam Kraft, Samuel Ieong, Jerry Zhang, Ed H. Chi, Derek Zhiyuan Cheng, Ruoxi Wang
2025 J jnl
DRES: Benchmarking LLMs for Disfluency Removal.
CoRR
Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
2025 J jnl
Z-Scores: A Metric for Linguistically Assessing Disfluency Removal.
CoRR
Maria Teleki, Sai Janjur, Haoran Liu, Oliver Grabner, Ketan Verma, Thomas Docog, Xiangjue Dong, Lingfeng Shi, Cong Wang, Stephanie Birkelbach, Jason Kim, Yin Zhang, James Caverlee
2024 A conf
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders.
RecSys
Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng
2023 A conf
Efficient Data Representation Learning in Google-scale Systems.
RecSys
Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
2023 A* conf
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
KDD
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2022 J jnl
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
CoRR
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2022 J jnl
Item Relationship Graph Neural Networks for E-Commerce.
IEEE Trans. Neural Networks Learn. Syst.
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
2021 A* conf
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
WWW
Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2021 A conf
Popularity-Opportunity Bias in Collaborative Filtering.
WSDM
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021 B conf
Vibe check: social resonance learning for enhanced recommendation.
ASONAM
Yin Zhang, Yun He, James Caverlee
2020 J jnl
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
CoRR
Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2020 A* conf
Adaptive Hierarchical Translation-based Sequential Recommendation.
WWW
Yin Zhang, Yun He, Jianling Wang, James Caverlee
2020 A conf
Consistency-Aware Recommendation for User-Generated Item List Continuation.
WSDM
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2020 A conf
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.
RecSys
Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020 A conf
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.
WSDM
Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
2020 — conf
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
EMNLP (1)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020 J jnl
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
CoRR
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020 A conf
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.
WSDM
Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020 — conf
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
EMNLP (1)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020 J jnl
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
CoRR
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020 A conf
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.
RecSys
Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2019 — conf
An Interpretable Neural Model with Interactive Stepwise Influence.
PAKDD (3)
Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
2019 J jnl
Consistency-Aware Recommendation for User-Generated ItemList Continuation.
CoRR
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2019 A conf
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence.
CIKM
Yin Zhang, James Caverlee
2018 J jnl
Fairness-Aware Recommendation of Information Curators.
CoRR
Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
2018 A conf
Quality-aware neural complementary item recommendation.
RecSys
Yin Zhang, Haokai Lu, Wei Niu, James Caverlee