Yao Zhou

According to our database, Yao Zhou authored at least 21 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation.

Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He

Trans. Mach. Learn. Res., 2026

2025

Review-Based Explainable Recommendations: A Transparency Perspective.

Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang

Trans. Recomm. Syst., September, 2025

Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs.

Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou

Proceedings of the ACM on Web Conference 2025, 2025

Collaborative Diffusion Model for Recommender System.

Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search.

Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou

Proceedings of the IEEE International Conference on Data Mining, 2025

2023

Multimodal Federated Learning: A Survey.

Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma

Sensors, August, 2023

2022

Towards High-Order Complementary Recommendation via Logical Reasoning Network.

Longfeng Wu, Yao Zhou, Dawei Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.

Yao Zhou, Jun Wu, Haixun Wang, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems.

Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang

CoRR, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

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

2020

GAN-based Recommendation with Positive-Unlabeled Sampling.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

CoRR, 2020

Robust Decentralized Learning for Neural Networks.

Yao Zhou, Jun Wu, Jingrui He

CoRR, 2020

Crowd Teaching with Imperfect Labels.

Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Multi-task Crowdsourcing via an Optimization Framework.

Yao Zhou, Lei Ying, Jingrui He

ACM Trans. Knowl. Discov. Data, 2019

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

Yao Zhou, Jingrui He

CoRR, 2018

A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems.

Pengfei Jiang, Weina Wang, Yao Zhou, Jingrui He, Lei Ying

Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, 2018

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.

Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

MultiC²: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity.

Yao Zhou, Lei Ying, Jingrui He

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Randomized Approach for Crowdsourcing in the Presence of Multiple Views.

Yao Zhou, Jingrui He

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Crowdsourcing via Tensor Augmentation and Completion.

Yao Zhou, Jingrui He

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016