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ORCIDYin Zhang 0011
Person information
- affiliation: Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
Other persons with the same name
- Yin Zhang — disambiguation page
- Yin Zhang 0001
![[0009-0003-5106-1583]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0003-5106-1583")
— The University of Texas at Austin, Department of Computer Sciences, TX, USA (and 2 more) - Yin Zhang 0002 — University of Electronic Science and Technology of China, Chengdu, China (and 3 more)
- Yin Zhang 0003 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
- Yin Zhang 0004 — Chinese Academy of Sciences, Institute of Mechanics, Beijing, China
- Yin Zhang 0005 — Hong Kong Baptist University, Department of Journalism, Hong Kong (and 1 more)
- Yin Zhang 0006 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Yin Zhang 0007 — Kent State University, School of Library and Information Science, OH, USA
- Yin Zhang 0008 — Nanjing University of Finance and Economics, School of Information Engineering, China (and 1 more)
- Yin Zhang 0009 — Beijing Institute of Health Administration and Medical Information, China (and 1 more)
- Yin Zhang 0010 — Rice University, Department of Computational and Applied Mathematic, Houston, TX, USA (and 1 more)
- Yin Zhang 0012 — Carnegie Mellon University, USA
- Yin Zhang 0013 — Guangxi University of Science and Technology, China (and 1 more)
- Yin Zhang 0014 — Zhejiang Gongshang University, Hangzhou, China
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2020 – today
- 2024
[c17]Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng:
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. RecSys 2024: 829-831- 2023
- [c16]Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi:
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD 2023: 5608-5617 - [c15]Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi:
Efficient Data Representation Learning in Google-scale Systems. RecSys 2023: 267-271 - 2022
- [j1]Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng:
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4785-4799 (2022) - [i6]Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi:
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR abs/2210.14309 (2022) - 2021
- [c14]Yin Zhang, Yun He, James Caverlee:
Vibe check: social resonance learning for enhanced recommendation. ASONAM 2021: 164-167 - [c13]Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee:
Popularity-Opportunity Bias in Collaborative Filtering. WSDM 2021: 85-93 - [c12]Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi:
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW 2021: 2220-2231 - 2020
- [c11]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) 2020: 4604-4614 - [c10]Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee:
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. EMNLP (1) 2020: 7572-7582 - [c9]Yin Zhang, Ziwei Zhu, Yun He, James Caverlee:
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys 2020: 43-52 - [c8]Ziwei Zhu, Yun He, Yin Zhang, James Caverlee:
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys 2020: 551-556 - [c7]Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM 2020: 250-258 - [c6]Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee:
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM 2020: 636-644 - [c5]Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee:
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. WSDM 2020: 762-770 - [c4]Yin Zhang, Yun He, Jianling Wang, James Caverlee:
Adaptive Hierarchical Translation-based Sequential Recommendation. WWW 2020: 2984-2990 - [i5]Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee:
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. CoRR abs/2010.03725 (2020) - [i4]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR abs/2010.03746 (2020) - [i3]Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi:
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. CoRR abs/2010.15982 (2020)
2010 – 2019
- 2019
- [c3]Yin Zhang, James Caverlee:
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. CIKM 2019: 1583-1592 - [c2]Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu:
An Interpretable Neural Model with Interactive Stepwise Influence. PAKDD (3) 2019: 528-540 - [i2]Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR abs/1912.13031 (2019) - 2018
- [c1]Yin Zhang, Haokai Lu, Wei Niu, James Caverlee:
Quality-aware neural complementary item recommendation. RecSys 2018: 77-85 - [i1]Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee:
Fairness-Aware Recommendation of Information Curators. CoRR abs/1809.03040 (2018)
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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