Tianchen Zhou

According to our database, Tianchen Zhou authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Federated Submodular Maximization With Differential Privacy.

Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang

IEEE Internet Things J., January, 2024

2023

Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.

Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun

CoRR, 2023

AdaSelection: Accelerating Deep Learning Training through Data Subsampling.

Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun

CoRR, 2023

SLPerf: a Unified Framework for Benchmarking Split Learning.

Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen

CoRR, 2023

2022

Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.

Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun

Proceedings of the Tenth International Conference on Learning Representations, 2022

GraphTrack: A Graph-based Cross-Device Tracking Framework.

Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Incentivized Bandit Learning with Self-Reinforcing User Preferences.

Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng

Proceedings of the 38th International Conference on Machine Learning, 2021