SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems. - Zepu Wang; Peng Sun 007; Yulin Hu; Azzedine Boukerche (GLOBECOM, 2022)

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network. - Zepu Wang; Peng Sun 007; Azzedine Boukerche (ICC, 2022)

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction. - Zepu Wang; Peng Sun 007; Yulin Hu; Azzedine Boukerche (MSWiM, 2022)

SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory. - Zepu Wang; Yifei Sun; Zhiyu Lei; Xincheng Zhu; Peng Sun 007 (ITSC, 2023)

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. - Zepu Wang; Dingyi Zhuang; Yankai Li; Jinhua Zhao; Peng Sun 007; Shenhao Wang; Yulin Hu (ITSC, 2023)

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. - Zepu Wang; Dingyi Zhuang; Yankai Li; Jinhua Zhao; Peng Sun 007 (CoRR, 2023)

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. - Zepu Wang; Yuqi Nie; Peng Sun 007; Nam H. Nguyen; John M. Mulvey; H. Vincent Poor (CoRR, 2023)

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks. - Zepu Wang; Peng Sun 007; Yulin Hu; Azzedine Boukerche (Comput. Commun., 2023)

"Less Knowledge is Less" - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information. - Yanming Shen; Zepu Wang; Peng Sun 007; Yulin Hu; Azzedine Boukerche (GLOBECOM, 2024)

SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks. - Gezhi Wang; Zepu Wang; Peng Sun 007; Azzedine Boukerche (ICC, 2024)

Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks. - Zijian Zhang; Yujie Sun; Zepu Wang; Yuqi Nie; Xiaobo Ma; Peng Sun 007; Ruolin Li (CoRR, 2024)

TSI-Bench: Benchmarking Time Series Imputation. - Wenjie Du; Jun Wang; Linglong Qian; Yiyuan Yang; Fanxing Liu; Zepu Wang; Zina M. Ibrahim; Haoxin Liu 001; Zhiyuan Zhao 002; Yingjie Zhou; Wenjia Wang; Kaize Ding; et al. (CoRR, 2024)

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks. - Zepu Wang; Xiaobo Ma; Huajie Yang; Weimin Lvu; Peng Sun 007; Sharath Chandra Guntuku (CoRR, 2024)

Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts. - Xiaobo Ma; Hyunsoo Noh; Ryan Hatch; James Tokishi; Zepu Wang (CoRR, 2024)

Unlocking the Power of LSTM for Long Term Time Series Forecasting. - Yaxuan Kong; Zepu Wang; Yuqi Nie; Tian Zhou 004; Stefan Zohren; Yuxuan Liang; Peng Sun; Qingsong Wen (AAAI, 2025)

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks. - Zepu Wang; Xiaobo Ma; Huajie Yang; Weimin Lyu; Yang Liu 246; Peng Sun 007; Sharath Chandra Guntuku (ICASSP, 2025)

A Novel Analytical Method for Eliminating the Multiprobe Array and Environment Interference in Spherical Near-Field Measurement. - Ruixue Zhang; Shuai Zhang 036; Zepu Wang; Zixuan Song; Chan Bai (IEEE Trans. Instrum. Meas., 2025)

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos. - Yang Liu 246; Hongjin Wang; Zepu Wang; Xiaoguang Zhu; Jing Liu 050; Peng Sun 007; Rui Tang; Jianwei Du; Victor C. M. Leung; Liang Song (IEEE Trans. Image Process., 2025)

A Survey on Diffusion Models for Anomaly Detection. - Jing Liu 050; Zhenchao Ma; Zepu Wang; Yang Liu 246; Zehua Wang; Peng Sun 007; Liang Song; Bo Hu 002; Azzedine Boukerche; Victor C. M. Leung (CoRR, 2025)

Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data. - Xiaobo Ma; Hyunsoo Noh; Ryan Hatch; James Tokishi; Zepu Wang (CoRR, 2025)