Di Chai

According to our database, Di Chai authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data.

Kaiqiang Xu, Di Chai, Junxue Zhang, Fan Lai, Kai Chen

Proc. ACM Manag. Data, February, 2025

DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue.

Feiyuan Zhang, Dezhi Zhu, James Ming, Yilun Jin, Di Chai, Liu Yang, Han Tian, Zhaoxin Fan, Kai Chen

CoRR, February, 2025

Enhancing Token Filtering Efficiency in Large Language Model Training with Collider.

Di Chai, Pengbo Li, Feiyuan Zhang, Yilun Jin, Han Tian, Junxue Zhang, Kai Chen

CoRR, February, 2025

Achieving Noise Suppression of Multichannel Lock-In Amplifier Based on Signal Segmentation.

Kun Xu, Jin Shi, Di Chai, Jiangshan Ai, Li Wang, Peng Li

IEEE Trans. Instrum. Meas., 2025

2024

A Survey for Federated Learning Evaluations: Goals and Measures.

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

IEEE Trans. Knowl. Data Eng., October, 2024

PackVFL: Efficient HE Packing for Vertical Federated Learning.

Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang

CoRR, 2024

Efficient Decentralized Federated Singular Vector Decomposition.

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

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services.

Jiangyi Fang, Liyue Chen, Di Chai, Yayao Hong, Xiuhuai Xie, Longbiao Chen, Leye Wang

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

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

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