Tiansheng Yao

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 12

Top Topics

Multitask Learning

Feature Representations

Learning Problems

Top Venues

Publications

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)
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS (2022)
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi
Distributionally-robust Recommendations for Improving Worst-case User Experience. WWW (2022)
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 (2022)
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR (2022)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD (2021)
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
Self-supervised Learning for Large-scale Item Recommendations. CIKM (2021)
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)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR (2020)
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
Self-supervised Learning for Deep Models in Recommendations. CoRR (2020)
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 (2020)
Tiansheng Yao, Arthur Choi, Adnan Darwiche
Learning Bayesian network parameters under equivalence constraints. Artif. Intell. 244 (2017)
Naiyan Wang, Tiansheng Yao, Jingdong Wang, Dit-Yan Yeung
A Probabilistic Approach to Robust Matrix Factorization. ECCV (7) (2012)
Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen
Efficient Subspace Segmentation via Quadratic Programming. AAAI (2011)