Di Chai

According to our database, Di Chai authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework.

Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen

IEEE Trans. Knowl. Data Eng., April, 2023

A Survey for Federated Learning Evaluations: Goals and Measures.

Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang

CoRR, 2023

UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction.

Liyue Chen, Di Chai, Leye Wang

CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.

Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen

CoRR, 2023

2022

Efficient Federated Matrix Factorization Against Inference Attacks.

Di Chai, Leye Wang, Kai Chen, Qiang Yang

ACM Trans. Intell. Syst. Technol., 2022

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.

Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.

Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical and Secure Federated Recommendation with Personalized Mask.

Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.

Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

2021

Secure Federated Matrix Factorization.

Di Chai, Leye Wang, Kai Chen, Qiang Yang

IEEE Intell. Syst., 2021

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning.

Cengguang Zhang, Junxue Zhang, Di Chai, Kai Chen

CoRR, 2021

Federated Singular Vector Decomposition.

Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang

CoRR, 2021

2020

FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning.

Di Chai, Leye Wang, Kai Chen, Qiang Yang

CoRR, 2020

Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework.

Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen

CoRR, 2020

2018

Bike flow prediction with multi-graph convolutional networks.

Di Chai, Leye Wang, Qiang Yang

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018