​
Login / Signup
Tingsong Xiao
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 13
Top Topics
Spatial Knowledge
Continuous Space
Language Model
Disease Diagnosis
Top Venues
CoRR
KSEM
ICME
Inf. Process. Manag.
</>
Publications
</>
Tingsong Xiao
,
Zelin Xu
,
Wenchong He
,
Jim Su
,
Yupu Zhang
,
Raymond Opoku
,
Ronald L. Ison
,
Jason Petho
,
Jiang Bian
,
Patrick James Tighe
,
Parisa Rashidi
,
Zhe Jiang
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction.
CoRR
(2024)
Zelin Xu
,
Tingsong Xiao
,
Wenchong He
,
Yu Wang
,
Zhe Jiang
,
Shigang Chen
,
Yiqun Xie
,
Xiaowei Jia
,
Da Yan
,
Yang Zhou
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.
AAAI
(2024)
Qingyang Wu
,
Ying Xu
,
Tingsong Xiao
,
Yunze Xiao
,
Yitong Li
,
Tianyang Wang
,
Yichi Zhang
,
Shanghai Zhong
,
Yuwei Zhang
,
Wei Lu
,
Yifan Yang
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals.
CoRR
(2024)
Jing Su
,
Chufeng Jiang
,
Xin Jin
,
Yuxin Qiao
,
Tingsong Xiao
,
Hongda Ma
,
Rong Wei
,
Zhi Jing
,
Jiajun Xu
,
Junhong Lin
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.
CoRR
(2024)
Wenchong He
,
Zhe Jiang
,
Tingsong Xiao
,
Zelin Xu
,
Shigang Chen
,
Ronald Fick
,
Miles Medina
,
Christine Angelini
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space.
CoRR
(2023)
Wenchong He
,
Zhe Jiang
,
Tingsong Xiao
,
Zelin Xu
,
Shigang Chen
,
Ronald Fick
,
Miles Medina
,
Christine Angelini
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space.
NeurIPS
(2023)
Zelin Xu
,
Tingsong Xiao
,
Wenchong He
,
Yu Wang
,
Zhe Jiang
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery.
SIGSPATIAL/GIS
(2023)
Zelin Xu
,
Tingsong Xiao
,
Wenchong He
,
Yu Wang
,
Zhe Jiang
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery.
CoRR
(2023)
Jing Hu
,
Xincheng Wang
,
Ziheng Liao
,
Tingsong Xiao
M-GCN: Multi-scale Graph Convolutional Network for 3D Point Cloud Classification.
ICME
(2023)
Lu Zeng
,
Hengxin Li
,
Tingsong Xiao
,
Fumin Shen
,
Zhi Zhong
Graph convolutional network with sample and feature weights for Alzheimer's disease diagnosis.
Inf. Process. Manag.
59 (4) (2022)
Tingsong Xiao
,
Lu Zeng
,
Xiaoshuang Shi
,
Xiaofeng Zhu
,
Guorong Wu
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis.
MICCAI (8)
(2022)
Xiaochen Wang
,
Tingsong Xiao
,
Jie Shao
EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction.
KSEM
(2021)
Xiaochen Wang
,
Tingsong Xiao
,
Jie Tang
,
Deqiang Ouyang
,
Jie Shao
MRMRP: Multi-source Review-Based Model for Rating Prediction.
DASFAA (2)
(2020)