activity
20192026
most citedOptimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis

29 citations · 38 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

NLPG: Natural-Language Policy Gradients for Self-Evolving Language Agents

Xu Liu, WenZhang Wei, Jun Cao +4

Large language model agents increasingly rely on compound programs for retrieval, tool use, reasoning, and verification, yet their failures often arise from local procedural decisi…

cs.CV2026

Variational Adapter for Cross-modal Similarity Representation

WenZhang Wei, Zhipeng Gui, Dehua Peng +2

The core of vision-language models lies in measuring cross-modal similarity within a unified representation space. However, most image-text matching or multi-class image classifica…

cs.SE2025★ 1 cited

AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine

Shuyang Hou, Zhangxiao Shen, Huayi Wu +10

Geospatial code generation is becoming a key frontier in integrating artificial intelligence with geo-scientific analysis, yet standardised automated evaluation tools for this task…

cs.LG2024★ 1 cited

Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data

Dehua Peng, Zhipeng Gui, Wenzhang Wei +4

As a pivotal branch of machine learning, manifold learning uncovers the intrinsic low-dimensional structure within complex nonlinear manifolds in high-dimensional space for visuali…

cs.LG2024★ 6 cited

Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect

Dehua Peng, Zhipeng Gui, Huayi Wu

The characteristics of data like distribution and heterogeneity, become more complex and counterintuitive as dimensionality increases. This phenomenon is known as curse of dimensio…

cs.LG2023★ 1 cited

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

Dehua Peng, Zhipeng Gui, Huayi Wu

As the most typical graph clustering method, spectral clustering is popular and attractive due to the remarkable performance, easy implementation, and strong adaptability. Classica…

cs.LG2023

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

Dehua Peng, Zhipeng Gui, Jie Gui +1

Boundary point detection aims to outline the external contour structure of clusters and enhance the inter-cluster discrimination, thus bolstering the performance of the downstream…

cs.CV2023

Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking

Wenzhang Wei, Zhipeng Gui, Changguang Wu +3

The core of cross-modal matching is to accurately measure the similarity between different modalities in a unified representation space. However, compared to textual descriptions o…

stat.CO2019★ 29 cited

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 +3

With increasing point of interest (POI) datasets available with fine-grained spatial and temporal attributes, space-time Ripley's K function has been regarded as a powerful approac…