Peihao Ding

According to our database, Peihao Ding authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting.

Peihao Ding, Yan Tang, Xiaoming Ding, Caijie Guo

Proceedings of the Knowledge Science, Engineering and Management, 2024

Attribute-Enhanced Hypergraph Neural Networks for Session-based Recommendation.

Xiaobing Li, Yan Tang, Caijie Guo, Peihao Ding

Proceedings of the International Joint Conference on Neural Networks, 2024

Automated Test Case Generation Based on Path Structure Matrix and Mainfold-Inspired Search.

Caijie Guo, Yan Tang, Xiaobing Li, Peihao Ding

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation.

Qiyun Fan, Yan Tang, Xiaoming Ding, Qianglong Huangfu, Peihao Ding

Proceedings of the Knowledge Science, Engineering and Management, 2023

DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound.

Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li

Proceedings of the Knowledge Science, Engineering and Management, 2023

MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation.

Yingpei Chen, Yan Tang, Peihao Ding, Xiaobing Li

Proceedings of the Knowledge Science, Engineering and Management, 2023