papers

Publications (28)

cs.RO2026

From Perception to Symbolic Task Planning: Vision-Language Guided Human-Robot Collaborative Structured Assembly

Yanyi Chen, Min Deng

Human-robot collaboration (HRC) in structured assembly requires reliable state estimation and adaptive task planning under noisy perception and human interventions. To address thes…

cs.SI2015

Urban spatial-temporal activity structures: a New Approach to Inferring the Intra-urban Functional Regions via Social Media Check-In Data

Ye Zhi, Yu Liu, Shaowen Wang +3

Most existing literature focuses on the exterior temporal rhythm of human movement to infer the functional regions in a city, but they neglects the underlying interdependence betwe…

cs.CV2017

What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?

Haifeng Li, Jian Peng, Chao Tao +2

Recently, deep convolutional neural network (DCNN) achieved increasingly remarkable success and rapidly developed in the field of natural image recognition. Compared with the natur…

q-bio.TO2016

Lumbar degenerative spondylolisthesis epidemiology: a systemic review with a focus on gender-specific and age-specific prevalence

Yi-Xiang Wang, Zoltan Kaplar, Min Deng +1

The epidemiology of lumbar degenerative spondylolisthesis (DS) remains controversial. We performed a systemic review with the aim to have a better understanding of DS's prevalence…

cs.CV2026

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models

Lingyao Li, Runlong Yu, Qikai Hu +4

Image geolocalization, the task of identifying the geographic location depicted in an image, is important for applications in crisis response, digital forensics, and location-based…

eess.SY2021

Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources

Baoju Liu, Min Deng, Guohua Wu +3

Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of obser…

cond-mat.quant-gas2017

Observation of "broad" d-wave Feshbach resonances with a triplet structure

Yue Cui, Chuyang Shen, Min Deng +6

High partial-wave () Feshbach resonance (FR) in an ultracold mixture of Rb-Rb atoms is investigated experimentally aided by a partial-wave insensitive analytic…

cond-mat.quant-gas2024

Miscibility of Binary Bose-Einstein Condensates with -wave Interaction

Min Deng, Ming Xue, Jinghan Pang +4

We investigate the ground-state phase diagram of a binary mixture of Bose-Einstein condensates (BECs) with competing interspecies - and -wave interactions. Exploiting a pseud…

cs.DC2016

Queue Theory based Response Time Analyses for Geo-Information Processing Chain

Jie Chen, Jian Peng, Min Deng +2

Typical characteristics of remote sensing applications are concurrent tasks, such as those found in disaster rapid response. The existing composition approach to geographical infor…

cs.SI2024

Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design

Lingyao Li, Songhua Hu, Yinpei Dai +9

As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in…

cs.LG2018

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

Ling Zhao, Yujiao Song, Chao Zhang +5

Accurate and real-time traffic forecasting plays an important role in the Intelligent Traffic System and is of great significance for urban traffic planning, traffic management, an…

cs.CV2018

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

Enqiang Guo, Xinsha Fu, Jiawei Zhu +4

A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to…

q-bio.TO2016

Improved liver T1rho measurement precision with a breathhold black blood single shot fast spin echo acquisition: a validation study in healthy volunteers

Yi-Xiang Wang, Min Deng, GladsG Lo +3

Purpose: To explore the usability and normal T1rho value of liver parenchyma with a novel single breathhold black blood single shot fast spin echo acquisition based liver imaging s…

cs.RO2025

Integrating LLMs and Digital Twins for Adaptive Multi-Robot Task Allocation in Construction

Min Deng, Bo Fu, Lingyao Li +1

Multi-robot systems are emerging as a promising solution to the growing demand for productivity, safety, and adaptability across industrial sectors. However, effectively coordinati…

math.DG2016

On the Neuron Response Features of Convolutional Neural Networks for Remote Sensing Image

Jie Chen, Min Deng, Haifeng Li

In this paper, some patterns of the Neuron Response of deep Convolutional Neural Networks were observed.

q-bio.TO2016

Prevalence of algorithm-based qualitative (ABQ) method osteoporotic vertebral fracture in elderly Chinese men and women with reference to semi-quantitative (SQ) method: Mr. Os and Ms Os. (Hong Kong) studies

Xian Jun Zeng, Min Deng, Yi Xiang Wang +6

Introduction: This study evaluated algorithm-based qualitative (ABQ) method for vertebral fracture (VF) evaluation with reference to semi-quantitative (SQ) method and bone mineral…

cond-mat.quant-gas2018

Broad Feshbach resonances in ultracold alkali-metal systems

Yue Cui, Min Deng, Li You +2

A comprehensive search for "broad" Feshbach resonances (FRs) in all possible combinations of stable alkali-metal atoms is carried out, using a multi-channel quantum-defect theory a…

cs.SI2017

A Probabilistic Embedding Clustering Method for Urban Structure Detection

Xin Lin, Haifeng Li, Yan Zhang +3

Urban structure detection is a basic task in urban geography. Clustering is a core technology to detect the patterns of urban spatial structure, urban functional region, and so on.…

cs.RO2026

Multimodal Physiological Assessment of Contact-Rich Physical Human-Robot Interaction Under Varying Environmental Conditions

Yanyi Chen, Xi Wang, Min Deng

Physical human-robot interaction (pHRI) in real-world settings exposes operators to fluctuating environmental conditions during contact-rich tasks. Traditional task-centric evaluat…

cs.CV2024

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Xiaogen Zhou, Yiyou Sun, Min Deng +2

Multimodal learning leverages complementary information derived from different modalities, thereby enhancing performance in medical image segmentation. However, prevailing multimod…

cs.CV2017

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition

Jie Chen, Chao Yuan, Min Deng +3

Human vision possesses strong invariance in image recognition. The cognitive capability of deep convolutional neural network (DCNN) is close to the human visual level because of hi…

cs.CY2025

LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment

Lingyao Li, Dawei Li, Zhenhui Ou +5

Efficient simulation is essential for enhancing proactive preparedness for sudden-onset disasters such as earthquakes. Recent advancements in large language models (LLMs) as world…

cs.CV2020

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

Haifeng Li, Xin Dou, Chao Tao +5

In recent years, deep convolutional neural network (DCNN) has seen a breakthrough progress in natural image recognition because of three points: universal approximation ability via…

cs.SI2019

Measuring Road Network Topology Vulnerability by Ricci Curvature

Lei Gao, Xingquan Liu, Yu Liu +4

Describing the basic properties of road network systems, such as their robustness, vulnerability, and reliability, has been a very important research topic in the field of urban tr…

cs.CV2023

Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory

Jingru Zhu, Ya Guo, Geng Sun +3

Semantic segmentation is a key technique involved in automatic interpretation of high-resolution remote sensing (HRS) imagery and has drawn much attention in the remote sensing com…

cs.LG2021

Learning by Active Forgetting for Neural Networks

Jian Peng, Xian Sun, Min Deng +8

Remembering and forgetting mechanisms are two sides of the same coin in a human learning-memory system. Inspired by human brain memory mechanisms, modern machine learning systems h…

cs.ET2025

RIS-Driven Resource Allocation Strategies for Diverse Network Environments: A Comprehensive Review

Manzoor Ahmed, Fang Xu, Yuanlin Lyu +7

This comprehensive survey examines how Reconfigurable Intelligent Surfaces (RIS) revolutionize resource allocation in various network frameworks. It begins by establishing a theore…

cs.AI2026

Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response

Yiheng Chen, Lingyao Li, Zihui Ma +4

Effective disaster response is essential for safeguarding lives and property. Existing statistical approaches often lack semantic context, generalize poorly across events, and offe…