Zepu Wang

According to our database, Zepu Wang authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting.

Zepu Wang, Bowen Liao, Jeff Ban

CoRR, March, 2026

2025

Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting.

Luyao Niu, Zepu Wang, Shuyi Guan, Yang Liu, Peng Sun

CoRR, November, 2025

Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data.

Xiaobo Ma, Hyunsoo Noh, Ryan Hatch, James Tokishi, Zepu Wang

CoRR, March, 2025

A Survey on Diffusion Models for Anomaly Detection.

Jing Liu, Zhenchao Ma, Zepu Wang, Yang Liu, Zehua Wang, Peng Sun, Liang Song, Bo Hu, Azzedine Boukerche, Victor C. M. Leung

CoRR, January, 2025

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos.

Yang Liu, Hongjin Wang, Zepu Wang, Xiaoguang Zhu, Jing Liu, Peng Sun, Rui Tang, Jianwei Du, Victor C. M. Leung, Liang Song

IEEE Trans. Image Process., 2025

A Novel Analytical Method for Eliminating the Multiprobe Array and Environment Interference in Spherical Near-Field Measurement.

Ruixue Zhang, Shuai Zhang, Zepu Wang, Zixuan Song, Chan Bai

IEEE Trans. Instrum. Meas., 2025

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.

Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lyu, Yang Liu, Peng Sun, Sharath Chandra Guntuku

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning.

Luyao Niu, Zepu Wang, Jing Liu, Azzedine Boukerche, Peng Sun

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Unlocking the Power of LSTM for Long Term Time Series Forecasting.

Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts.

Xiaobo Ma, Hyunsoo Noh, Ryan Hatch, James Tokishi, Zepu Wang

CoRR, 2024

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.

Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lvu, Peng Sun, Sharath Chandra Guntuku

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, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen

CoRR, 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, Ruolin Li

CoRR, 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, Azzedine Boukerche

Proceedings of the IEEE International Conference on Communications, 2024

"Less Knowledge is Less" - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information.

Yanming Shen, Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Comput. Commun., September, 2023

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.

Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor

CoRR, 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

CoRR, 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, Shenhao Wang, Yulin Hu

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2022

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network.

Zepu Wang, Peng Sun, Azzedine Boukerche

Proceedings of the IEEE International Conference on Communications, 2022

SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Proceedings of the IEEE Global Communications Conference, 2022