Bike flow prediction with multi-graph convolutional networks. - Di Chai; Leye Wang; Qiang Yang 001 (SIGSPATIAL/GIS, 2018)

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 005 (CoRR, 2020)

FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning. - Di Chai; Leye Wang; Kai Chen 005; Qiang Yang 001 (CoRR, 2020)

Federated Singular Vector Decomposition. - Di Chai; Leye Wang; Lianzhi Fu; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (CoRR, 2021)

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning. - Cengguang Zhang; Junxue Zhang 001; Di Chai; Kai Chen 005 (CoRR, 2021)

Secure Federated Matrix Factorization. - Di Chai; Leye Wang; Kai Chen 005; Qiang Yang 001 (IEEE Intell. Syst., 2021)

Secure Forward Aggregation for Vertical Federated Neural Networks. - Shuowei Cai; Di Chai; Liu Yang 008; Junxue Zhang 001; Yilun Jin; Leye Wang; Kun Guo 003; Kai Chen 005 (FL@IJCAI, 2022)

Practical and Secure Federated Recommendation with Personalized Mask. - Liu Yang 008; Junxue Zhang 001; Di Chai; Leye Wang; Kun Guo 003; Kai Chen 005; Qiang Yang 001 (FL@IJCAI, 2022)

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. - Di Chai; Leye Wang; Junxue Zhang 001; Liu Yang 008; Shuowei Cai; Kai Chen 005; Qiang Yang 001 (KDD, 2022)

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. - Han Tian; Chaoliang Zeng; Zhenghang Ren; Di Chai; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (SP, 2022)

Efficient Federated Matrix Factorization Against Inference Attacks. - Di Chai; Leye Wang; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2022)

A Survey on Vertical Federated Learning: From a Layered Perspective. - Liu Yang 008; Di Chai; Junxue Zhang 001; Yilun Jin; Leye Wang; Hao Liu 026; Han Tian; Qian Xu; Kai Chen 005 (CoRR, 2023)

UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction. - Liyue Chen; Di Chai; Leye Wang (CoRR, 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 005 (IEEE Trans. Knowl. Data Eng., 2023)

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 (SSE, 2024)

Efficient Decentralized Federated Singular Vector Decomposition. - Di Chai; Junxue Zhang 001; Liu Yang 008; Yilun Jin; Leye Wang; Kai Chen 005; Qiang Yang 001 (USENIX ATC, 2024)

PackVFL: Efficient HE Packing for Vertical Federated Learning. - Liu Yang 008; Shuowei Cai; Di Chai; Junxue Zhang 001; Han Tian; Yilun Jin; Kun Guo 003; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

A Survey for Federated Learning Evaluations: Goals and Measures. - Di Chai; Leye Wang; Liu Yang 008; Junxue Zhang 001; Kai Chen 005; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Achieving Noise Suppression of Multichannel Lock-In Amplifier Based on Signal Segmentation. - Kun Xu; Jin Shi; Di Chai; Jiangshan Ai; Li Wang 157; Peng Li (IEEE Trans. Instrum. Meas., 2025)

Enhancing Token Filtering Efficiency in Large Language Model Training with Collider. - Di Chai; Pengbo Li; Feiyuan Zhang; Yilun Jin; Han Tian; Junxue Zhang 001; Kai Chen 005 (CoRR, 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 008; Han Tian; Zhaoxin Fan; Kai Chen 005 (CoRR, 2025)

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data. - Kaiqiang Xu; Di Chai; Junxue Zhang 001; Fan Lai 001; Kai Chen 005 (Proc. ACM Manag. Data, 2025)