Xinyang Yi


2022

doi dblp
Distributionally-robust Recommendations for Improving Worst-case User Experience
Hongyi Wen | Xinyang Yi | Tiansheng Yao | Jiaxi Tang | Lichan Hong | Ed H. Chi
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao | Xinyang Yi | Derek Zhiyuan Cheng | Felix X. Yu | Ting Chen | Aditya Krishna Menon | Lichan Hong | Ed H. Chi | Steve Tjoa | Jieqi (Jay) Kang | Evan Ettinger
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
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
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

doi dblp
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
Wang-Cheng Kang | Derek Zhiyuan Cheng | Ting Chen | Xinyang Yi | Dong Lin | Lichan Hong | Ed H. Chi
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
Ji Yang | Xinyang Yi | Derek Zhiyuan Cheng | Lichan Hong | Yang Li | Simon Xiaoming Wang | Taibai Xu | Ed H. Chi
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms
Jyun-Yu Jiang | Tao Wu | Georgios Roumpos | Heng-Tze Cheng | Xinyang Yi | Ed H. Chi | Harish Ganapathy | Nitin Jindal | Pei Cao | Wei Wang
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Off-policy Learning in Two-stage Recommender Systems
Jiaqi Ma | Zhe Zhao | Xinyang Yi | Ji Yang | Minmin Chen | Jiaxi Tang | Lichan Hong | Ed H. Chi
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020