Yuandong Wang

Orcid: 0000-0002-1807-2622

Affiliations:
  • Capital Normal University, Beijing, China


According to our database1, Yuandong Wang authored at least 16 papers between 2016 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection.
IEEE Trans. Knowl. Data Eng., August, 2025

Motion Forecasting for Autonomous Vehicles: A Survey.
CoRR, February, 2025

Parameter-Efficient Fine-Tuning for Foundation Models.
CoRR, January, 2025

Behavior-Pred: A semantic-enhanced trajectory pre-training framework for motion forecasting.
Inf. Fusion, 2025

2024
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction.
IEEE Trans. Knowl. Data Eng., February, 2024

Multi-turn Response Selection with Commonsense-enhanced Language Models.
CoRR, 2024

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Synthesizing Realistic Trajectory Data With Differential Privacy.
IEEE Trans. Intell. Transp. Syst., May, 2023

Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs.
IEEE Trans. Knowl. Data Eng., March, 2023

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Detecting Social Bot on the Fly using Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol., 2022

2021
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph.
CoRR, 2021

Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2016
ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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