Ye Tao

According to our database, Ye Tao authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Knowledge Graphs and Pretrained Language Models Enhanced Representation Learning for Conversational Recommender Systems.

Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Contrastive Learning for Enhancing Model Selection in Sequential Recommender Ensemble.

Ye Tao, Tianxing Wang, Oliver Qiu, Can Wang, Alan Wee-Chung Liew

Proceedings of the 2025 IEEE International Conference on Knowledge Graph (ICKG), 2025

2024

A Reinforcement Learning Approach to Wi-Fi Rate Adaptation Using the REINFORCE Algorithm.

Ye Tao, Wee Lum Tan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model.

Ye Tao, Can Wang, Alan Wee-Chung Liew

Future Gener. Comput. Syst., December, 2023

Item trend learning for sequential recommendation system using gated graph neural network.

Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu

Neural Comput. Appl., June, 2023

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems.

Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew

CoRR, 2023

2022

Enhancing recommender ensemble by estimating input fitness.

Ye Tao, Can Wang, Alan Wee-Chung Liew, Sebastian Binnewies

Comput. Electr. Eng., 2022

2020

TRec: Sequential Recommender Based On Latent Item Trend Information.

Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020