Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. - Wanlin Sun; Ming Chen; Jiexia Ye; Yuhang Zhang 010; Cheng-Zhong Xu 001; Yangqing Zhang; Yaonan Wang; Wen Wu; Peng Zhang; Feipeng Qu (ICPS, 2019)

A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. - Jiexia Ye; Juanjuan Zhao; Liutao Zhang; Cheng-Zhong Xu 001; Jun Zhang 014; Kejiang Ye (BigData, 2020)

Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. - Jiexia Ye; Juanjuan Zhao; Kejiang Ye; Chengzhong Xu 001 (ICPR, 2020)

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. - Yuhang Zhang 010; Hongshuai Ren; Jiexia Ye; Xitong Gao; Yang Wang 006; Kejiang Ye; Cheng-Zhong Xu 001 (ICPR, 2020)

Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. - Jiexia Ye; Juanjuan Zhao; Kejiang Ye; Chengzhong Xu 001 (IJCNN, 2020)

Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. - Jiexia Ye; Juanjuan Zhao; Kejiang Ye; Chengzhong Xu 001 (CoRR, 2020)

Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. - Jiexia Ye; Furong Zheng; Juanjuan Zhao; Kejiang Ye; Chengzhong Xu 001 (CoRR, 2021)

Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. - Jiexia Ye; Furong Zheng; Juanjuan Zhao; Kejiang Ye; Chengzhong Xu 001 (CoRR, 2021)

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. - Jiexia Ye; Juanjuan Zhao; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2022)

MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems. - Juanjuan Zhao; Liutao Zhang; Jiexia Ye; Cheng-Zhong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2022)

GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. - Juanjuan Zhao; Liutao Zhang; Kejiang Ye; Jiexia Ye; Jun Zhang 014; Fan Zhang 019; Cheng-Zhong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior. - Juanjuan Zhao; Jiexia Ye; Minxian Xu; Cheng-Zhong Xu 001 (Concurr. Comput. Pract. Exp., 2023)

Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data. - Jiexia Ye; Juanjuan Zhao; Furong Zheng; Cheng-Zhong Xu 001 (Neural Comput. Appl., 2023)

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. - Furong Zheng; Juanjuan Zhao; Jiexia Ye; Xitong Gao; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Trans. Big Data, 2023)

A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. - Jiexia Ye; Weiqi Zhang; Ke Yi 003; Yongzi Yu; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2024)

DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. - Weiqi Zhang; Jiexia Ye; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2024)

A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System. - Jiexia Ye; Juanjuan Zhao; Furong Zheng; Cheng-Zhong Xu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification. - Jiexia Ye; Weiqi Zhang; Ziyue Li 002; Jia Li 009; Fugee Tsung (CoRR, 2025)