activity
20202026
most citedMapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression

35 citations · 44 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Self-Evolving Agent Harness

Chuyang Wei, Haoxiang Guan, Minghang Zhu +5

Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed. We formalize a f…

cs.AI2026

Harnessing Pre-Resolution Signals for Future Prediction Agents

Chuyang Wei, Maohang Gao, Zhixin Han +12

Many high-stakes decisions depend on forecasts made before outcomes are known. In this future prediction setting, the central challenge is that public evidence evolves over time, w…

eess.IV2025

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis

Xiren Zhou, Shikang Liu, Xinyu Yan +5

Urban roads and infrastructure, vital to city operations, face growing threats from subsurface anomalies like cracks and cavities. Ground Penetrating Radar (GPR) effectively visual…

cs.CL2024

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM

Changcheng Li, Xiangyu Wang, Qiuju Chen +2

Large language models (LLMs) have shown limitations in tasks requiring complex logical reasoning and multi-step problem-solving. To address these challenges, researchers have emplo…

cs.CV2022★ 2 cited

Underground Diagnosis Based on GPR and Learning in the Model Space

Ao Chen, Xiren Zhou, Yizhan Fan +1

Ground Penetrating Radar (GPR) has been widely used in pipeline detection and underground diagnosis. In practical applications, the characteristics of the GPR data of the detected…

cs.CV2022

Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data

Xiren Zhou, Shikang Liu, Ao Chen +2

Ground Penetrating Radar (GPR) has been widely used to estimate the healthy operation of some urban roads and underground facilities. When identifying subsurface anomalies by GPR i…

cs.LG2022★ 35 cited

Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression

Xiren Zhou, Qiuju Chen, Shengfei Lyu +1

With the rapid expansion of urban areas and the increasingly use of electricity, the need for locating buried cables is becoming urgent. In this paper, a noval method to locate und…

cs.CV2022★ 2 cited

Estimating the Direction and Radius of Pipe from GPR Image by Ellipse Inversion Model

Xiren Zhou, Qiuju Chen, Shengfei Lyu +1

Ground Penetrating Radar (GPR) is widely used as a non-destructive approach to estimate buried utilities. When the GPR's detecting direction is perpendicular to a pipeline, a hyper…

eess.IV2020★ 5 cited

Unsupervised Change Detection in Satellite Images with Generative Adversarial Network

Caijun Ren, Xiangyu Wang, Jian Gao +1

Detecting changed regions in paired satellite images plays a key role in many remote sensing applications. The evolution of recent techniques could provide satellite images with ve…