Efficient Subspace Segmentation via Quadratic Programming. - Shusen Wang; Xiaotong Yuan; Tiansheng Yao; Shuicheng Yan; Jialie Shen 001 (AAAI, 2011)

A Probabilistic Approach to Robust Matrix Factorization. - Naiyan Wang; Tiansheng Yao; Jingdong Wang 001; Dit-Yan Yeung (ECCV (7), 2012)

Learning Bayesian network parameters under equivalence constraints. - Tiansheng Yao; Arthur Choi; Adnan Darwiche (Artif. Intell., 2017)

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)

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 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, 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 (KDD, 2021)

A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. - Yin Zhang 011; Derek Zhiyuan Cheng; Tiansheng Yao; Xinyang Yi; Lichan Hong; Ed H. Chi (WWW, 2021)

Improving Multi-Task Generalization via Regularizing Spurious Correlation. - Ziniu Hu; Zhe Zhao 001; Xinyang Yi; Tiansheng Yao; Lichan Hong; Yizhou Sun; Ed H. Chi (NeurIPS, 2022)

Distributionally-robust Recommendations for Improving Worst-case User Experience. - Hongyi Wen; Xinyang Yi; Tiansheng Yao; Jiaxi Tang; Lichan Hong; Ed H. Chi (WWW, 2022)

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). - Yin Zhang 011; Ruoxi Wang; Derek Zhiyuan Cheng; Tiansheng Yao; Xinyang Yi; Lichan Hong; James Caverlee; Ed H. Chi (KDD, 2023)

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. - Yin Zhang 011; Ruoxi Wang; Xiang Li; Tiansheng Yao; Andrew Evdokimov; Jonathan Valverde; Yuan Gao; Jerry Zhang; Evan Ettinger; Ed H. Chi; Derek Zhiyuan Cheng (RecSys, 2024)