Zesheng Cheng

Orcid: 0000-0003-4150-1728

According to our database1, Zesheng Cheng authored at least 19 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation.
CoRR, May, 2026

2025
STA-Hyper: Hypergraph-Based Spatio-Temporal Attention Network for Next Point-of-Interest Recommendation.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2025

LGM4TFP: A Large Graph Model for Traffic Flow Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

HBRA: Heterogeneous Graph Learning for Bidirectional Marital Recommendations in Aging Societies.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

WEMT: Wavelet-Enhanced Multiscale Transformer for Robust Dynamic Gesture Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

S-Track: An SAM-based Model for Real-Time Surgical Video Tracking under High Dynamic Scenarios.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

HandDiff-GAN: Handwriting Diffusion-Enhanced Generative Adversarial Networks for Character Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

STMOM: A Spatiotemporal Traffic Flow Forecasting Model Based on Multi-Order Markov Chains.
Proceedings of the International Joint Conference on Neural Networks, 2025

A Gaussian Temporal Based Graph Convolutional Network for Traffic Operation Flow Forecasting.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024
TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2024

ST-TDCN: A two-channel tree-structure spatial-temporal convolutional network model for traffic velocity prediction.
Expert Syst. Appl., 2024

REHG: A Recommender Engine Based on Heterogeneous Graph.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

UG-STNN: A Spatial-Temporal Neural Network Based on Unsupervised Graph Representation Module for Traffic Flow Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023
A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index.
Data Knowl. Eng., July, 2023

Research on Traffic Congestion Forecast Based on Deep Learning.
Inf., February, 2023

2022
A Spatial-Temporal Convolutional Model with Improved Graph Representation.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Lane Occupancy Prediction: A Deep Model Based on Dilated Convolution and Graph Convolution Fusion.
Proceedings of the 5th International Conference on Big Data Technologies, 2022

2021
Novel modeling methodologies that utilize emerging data sources for transport network planning.
PhD thesis, 2021

2020
Integrating Household Travel Survey and Social Media Data to Improve the Quality of OD Matrix: A Comparative Case Study.
IEEE Trans. Intell. Transp. Syst., 2020


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