Search Results for author: Zhangyu Wang

Found 10 papers, 4 papers with code

ELITE: Embedding-Less retrieval with Iterative Text Exploration

1 code implementation17 May 2025 Zhangyu Wang, Siyuan Gao, Rong Zhou, Hao Wang, Li Ning

Large Language Models (LLMs) have achieved impressive progress in natural language processing, but their limited ability to retain long-term context constrains performance on document-level or multi-turn tasks.

graph construction RAG +4

LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space

no code implementations23 Mar 2025 Zhangyu Wang, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Zeping Liu, Lan Mu, Yang song, Yiqun Xie, Ni Lao, Gengchen Mai

To avoid the problematic manifold reprojection step in diffusion, we developed a novel spherical positional encoding-decoding framework, which encodes points on a spherical surface (e. g., geolocations on Earth) into a Hilbert space of Spherical Harmonics coefficients and decodes points (geolocations) by mode-seeking.

Image Retrieval

A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space

no code implementations ICLR Workshop GTRL 2021 Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng

Hyperbolic embeddings are a class of representation learning methods that offer competitive performances when data can be abstracted as a tree-like graph.

Representation Learning

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

2 code implementations21 Jun 2024 Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

To fill this gap, we propose TorchSpatial, a learning framework and benchmark for location (point) encoding, which is one of the most fundamental data types of spatial representation learning.

Fairness Geographic Question Answering +5

Probing the Information Theoretical Roots of Spatial Dependence Measures

1 code implementation28 May 2024 Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic

Intuitively, there is a relation between measures of spatial dependence and information theoretical measures of entropy.

Relation

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations

1 code implementation28 May 2024 Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao

A wide range of (multivariate) temporal (1D) and spatial (2D) data analysis tasks, such as grouping vehicle sensor trajectories, can be formulated as clustering with given metric constraints.

Constrained Clustering

A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads

no code implementations15 Sep 2023 Zixuan Li, Haiying Lin, Zhangyu Wang, Huazhi Li, Miao Yu, Jie Wang

Unstructured road scenes represented by open-pit mines have irregular boundary lines and uneven road surfaces, which lead to segmentation errors in current ground segmentation methods.

Point Cloud Registration Segmentation

Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation

no code implementations22 Oct 2022 Zhangyu Wang, Ningyuan Sun

Recognition of floor plans has been a challenging and popular task.

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