Tiansheng Yao

16 papers A* 6A 3Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
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
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
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 A* conf
Distributionally-robust Recommendations for Improving Worst-case User Experience.
WWW
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, 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 A* conf
Improving Multi-Task Generalization via Regularizing Spurious Correlation.
NeurIPS
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022 J jnl
Improving Multi-Task Generalization via Regularizing Spurious Correlation.
CoRR
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
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
Learning to Embed Categorical Features without Embedding Tables for Recommendation.
KDD
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2021 A conf
Self-supervised Learning for Large-scale Item Recommendations.
CIKM
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
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 J jnl
Deep Hash Embedding for Large-Vocab Categorical Feature Representations.
CoRR
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2020 J jnl
Self-supervised Learning for Deep Models in Recommendations.
CoRR
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
2017 J jnl
Learning Bayesian network parameters under equivalence constraints.
Artif. Intell.
Tiansheng Yao, Arthur Choi, Adnan Darwiche
2012 — conf
A Probabilistic Approach to Robust Matrix Factorization.
ECCV (7)
Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung
2011 A* conf
Efficient Subspace Segmentation via Quadratic Programming.
AAAI
Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen