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2020 – today
- 2024
[c7]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: 22457-22465- [i8]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 abs/2402.02258 (2024) - [i7]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 abs/2402.10350 (2024) - [i6]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 abs/2404.13885 (2024) - [i5]Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Haibo Wang, Shigang Chen:
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic. CoRR abs/2408.02689 (2024) - [i4]Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao:
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities. CoRR abs/2409.10764 (2024) - [i3]Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb Smith, Zhe Jiang:
A Fast AI Surrogate for Coastal Ocean Circulation Models. CoRR abs/2410.14952 (2024) - 2023
- [c6]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: 48:1-48:10 - [c5]Jing Hu, Xincheng Wang, Ziheng Liao, Tingsong Xiao:
M-GCN: Multi-scale Graph Convolutional Network for 3D Point Cloud Classification. ICME 2023: 924-929 - [c4]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 - [i2]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 abs/2311.04434 (2023) - [i1]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang:
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR abs/2312.07767 (2023) - 2022
- [j1]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): 102952 (2022) - [c3]Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu:
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) 2022: 406-415 - 2021
- [c2]Xiaochen Wang, Tingsong Xiao, Jie Shao:
EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction. KSEM 2021: 487-499 - 2020
- [c1]Xiaochen Wang, Tingsong Xiao, Jie Tang, Deqiang Ouyang, Jie Shao:
MRMRP: Multi-source Review-Based Model for Rating Prediction. DASFAA (2) 2020: 20-35
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