Dongdong Wang

According to our database, Dongdong Wang authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

Large-Scale Real-Time Crash Prediction: A Comprehensive System and Analyses.

Samgyu Yang, Mohamed A. Abdel-Aty, Zubayer Islam, Dongdong Wang, Heesub Rim, Md Rakibul Islam, Tarek Hasan, Lei Han

IEEE Trans. Intell. Transp. Syst., April, 2026

Driving Decision-Making at Freeway Weaving Segments Using Relational Graph Attention Network and Deep Reinforcement Learning.

Zijin Wang, Mohamed A. Abdel-Aty, Dongdong Wang

IEEE Trans. Intell. Transp. Syst., January, 2026

ST-DIF: A Spatio-Temporal Framework Integrating Adjacency Information in Crowd Forecasting.

Vivian W. H. Wong, Dongdong Wang, Ao He

Proceedings of the 13th ACM International Conference on Systems for Energy-Efficient Buildings, 2026

2025

Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections.

Ahmed S. Abdelrahman, Mohamed A. Abdel-Aty, Dongdong Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Spatial Ensemble Distillation Learning for Large-Scale Real-Time Crash Prediction.

Md Rakibul Islam, Mohamed A. Abdel-Aty, Dongdong Wang, Zubayer Islam

IEEE Trans. Intell. Transp. Syst., November, 2024

An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems.

Minquan Wang, Siyang Lu, Sizhe Xiao, Dongdong Wang, Wei Xiang, Ningning Han, Liqiang Wang

Int. J. Cooperative Inf. Syst., June, 2024

Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models.

Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis.

Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SSDLog: a semi-supervised dual branch model for log anomaly detection.

Siyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang

World Wide Web (WWW), September, 2023

Black-box attacks against log anomaly detection with adversarial examples.

Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang

Inf. Sci., 2023

Ensemble Distillation for Out-of-distribution Detection.

Dongdong Wang, Jingyao Xu, Siyang Lu, Xiang Wei, Liqiang Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

SemLog: A Semantics-based Approach for Anomaly Detection in Big Data System Logs.

Xiaoman Tan, Ningning Han, Siyang Lu, Wu Chen, Dongdong Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder.

Zaichao Lin, Siyang Lu, Ningning Han, Dongdong Wang, Xiang Wei, Mingquan Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm.

Dongdong Wang, Boqing Gong, Liqiang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ADCNN: Towards learning adaptive dilation for convolutional neural networks.

Jie Yao, Dongdong Wang, Hao Hu, Weiwei Xing, Liqiang Wang

Pattern Recognit., 2022

On Calibrating Semantic Segmentation Models: Analysis and An Algorithm.

Dongdong Wang, Boqing Gong, Liqiang Wang

CoRR, 2022

APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.

Dongdong Wang, Siyang Lu, Xiang Wei, Mingquan Wang, Yandong Li, Liqiang Wang

Proceedings of the IEEE Smartworld, 2022

SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection.

Ningning Han, Siyang Lu, Dongdong Wang, Mingquan Wang, Xiaoman Tan, Xiang Wei

Proceedings of the IEEE Smartworld, 2022

2021

Active dropblock: Method to enhance deep model accuracy and robustness.

Jie Yao, Weiwei Xing, Dongdong Wang, Jintao Xing, Liqiang Wang

Neurocomputing, 2021

AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking.

Yuxiang Yang, Weiwei Xing, Dongdong Wang, Shunli Zhang, Qi Yu, Liqiang Wang

Neurocomputing, 2021

Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19.

Dongdong Wang, Shunpu Zhang, Liqiang Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model.

Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020