Tiansheng Yao

According to our database, Tiansheng Yao authored at least 12 papers between 2011 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

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

Distributionally-robust Recommendations for Improving Worst-case User Experience.

Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.

Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Learning to Embed Categorical Features without Embedding Tables for Recommendation.

Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Deep Hash Embedding for Large-Vocab Categorical Feature Representations.

Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

CoRR, 2020

Self-supervised Learning for Deep Models in Recommendations.

Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger

CoRR, 2020

2017

Learning Bayesian network parameters under equivalence constraints.

Tiansheng Yao, Arthur Choi, Adnan Darwiche

Artif. Intell., 2017

2012

A Probabilistic Approach to Robust Matrix Factorization.

Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Efficient Subspace Segmentation via Quadratic Programming.

Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011