Rahul Kumar

According to our database, Rahul Kumar authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction.

Rahul Kumar, João Mendes-Moreira, Joydeep Chandra

Data Min. Knowl. Discov., July, 2025

Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey.

Rahul Kumar, Manish Bhanu, João Mendes-Moreira, Joydeep Chandra

ACM Comput. Surv., February, 2025

2024

Spatio-Temporal Parallel Transformer Based Model for Traffic Prediction.

Rahul Kumar, João Mendes-Moreira, Joydeep Chandra

ACM Trans. Knowl. Discov. Data, November, 2024

BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting.

Rahul Kumar, Manish Bhanu, Saswata Roy, João Mendes-Moreira, Joydeep Chandra

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2024

2023

DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction.

Rahul Kumar, João Mendes-Moreira, Joydeep Chandra

Appl. Intell., November, 2023

2022

Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction.

Manish Bhanu, Rahul Kumar, Saswata Roy, João Mendes-Moreira, Joydeep Chandra

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022