Dingkai Zhang

According to our database, Dingkai Zhang authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Spatio-Temporal Contrastive Learning-Based Adaptive Graph Augmentation for Traffic Flow Prediction.

Dingkai Zhang, Pengfei Wang, Lu Ding, Xiaoling Wang, Jifeng He

IEEE Trans. Intell. Transp. Syst., January, 2025

2024

Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving.

Dingkai Zhang, Huanran Zheng, Wenjing Yue, Xiaoling Wang

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

Service Recommendation Model Based on Trust and QoS for Social Internet of Things.

Shaozhong Zhang, Dingkai Zhang, Yaohui Wu, Haidong Zhong

IEEE Trans. Serv. Comput., 2023

2021

Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model.

Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Extraction of Medication-Effect Relations in Twitter Data with Neural Embedding and Recurrent Neural Network.

Keyuan Jiang, Dingkai Zhang, Gordon R. Bernard

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Cyber Security Tool Kit (CyberSecTK): A Python Library for Machine Learning and Cyber Security.

Ricardo A. Calix, Sumendra B. Singh, Tingyu Chen, Dingkai Zhang, Michael Tu

Inf., 2020

A Multiclassification Model of Sentiment for E-Commerce Reviews.

Shaozhong Zhang, Dingkai Zhang, Haidong Zhong, Guorong Wang

IEEE Access, 2020

Mining Potentially Unreported Effects from Twitter Posts through Relational Similarity: A Case for Opioids.

Keyuan Jiang, Liyuan Huang, Tingyu Chen, Gelareh Karbaschi, Dingkai Zhang, Gordon R. Bernard

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020