Dehua Peng

According to our database, Dehua Peng authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding.

Dehua Peng, Zhipeng Gui, Wenzhang Wei, Huayi Wu

CoRR, 2024

Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect.

Dehua Peng, Zhipeng Gui, Huayi Wu

CoRR, 2024

2023

MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion.

Dehua Peng, Zhipeng Gui, Huayi Wu

CoRR, 2023

A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion.

Dehua Peng, Zhipeng Gui, Huayi Wu

CoRR, 2023

2022

Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling.

Yuao Mei, Zhipeng Gui, Jinghang Wu, Dehua Peng, Rui Li, Huayi Wu, Zhengyang Wei

Geo spatial Inf. Sci., 2022

2021

LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points.

Zhipeng Gui, Yunzeng Sun, Le Yang, Dehua Peng, Fa Li, Huayi Wu, Chi Guo, Wenfei Guo, Jianya Gong

Neurocomputing, 2021

2020

A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction.

Fa Li, Zhipeng Gui, Zhaoyu Zhang, Dehua Peng, Siyu Tian, Kunxiaojia Yuan, Yunzeng Sun, Huayi Wu, Jianya Gong, Yichen Lei

Neurocomputing, 2020

Optimizing and accelerating space-time Ripley 's K function based on Apache Spark for distributed spatiotemporal point pattern analysis.

Yuan Wang, Zhipeng Gui, Huayi Wu, Dehua Peng, Jinghang Wu, Zousen Cui

Future Gener. Comput. Syst., 2020

MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns.

Zhipeng Gui, Dehua Peng, Huayi Wu, Xi Long

Future Gener. Comput. Syst., 2020