MRMRP: Multi-source Review-Based Model for Rating Prediction. - Xiaochen Wang; Tingsong Xiao; Jie Tang 005; Deqiang Ouyang; Jie Shao 001 (DASFAA (2), 2020)

EMRM: Enhanced Multi-source Review-Based Model for Rating Prediction. - Xiaochen Wang; Tingsong Xiao; Jie Shao 001 (KSEM, 2021)

Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. - Tingsong Xiao; Lu Zeng; Xiaoshuang Shi; Xiaofeng Zhu 001; Guorong Wu 001 (MICCAI (8), 2022)

Graph convolutional network with sample and feature weights for Alzheimer's disease diagnosis. - Lu Zeng; Hengxin Li; Tingsong Xiao; Fumin Shen; Zhi Zhong (Inf. Process. Manag., 2022)

Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001 (SIGSPATIAL/GIS, 2023)

M-GCN: Multi-scale Graph Convolutional Network for 3D Point Cloud Classification. - Jing Hu; Xincheng Wang; Ziheng Liao; Tingsong Xiao (ICME, 2023)

A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. - Wenchong He; Zhe Jiang 001; Tingsong Xiao; Zelin Xu 001; Shigang Chen; Ronald Fick; Miles Medina; Christine Angelini (NeurIPS, 2023)

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. - Zelin Xu 001; Tingsong Xiao; Wenchong He; Yu Wang 044; Zhe Jiang 001; Shigang Chen; Yiqun Xie; Xiaowei Jia; Da Yan 001; Yang Zhou 001 (AAAI, 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review. - Jing Su; Chufeng Jiang; Xin Jin; Yuxin Qiao; Tingsong Xiao; Hongda Ma; Rong Wei; Zhi Jing 003; Jiajun Xu; Junhong Lin (CoRR, 2024)

Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals. - Qingyang Wu; Ying Xu; Tingsong Xiao; Yunze Xiao; Yitong Li; Tianyang Wang; Yichi Zhang; Shanghai Zhong; Yuwei Zhang; Wei Lu; Yifan Yang (CoRR, 2024)

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic. - Zibo Liu; Zhe Jiang 001; Zelin Xu 001; Tingsong Xiao; Zhengkun Xiao; Haibo Wang 004; Shigang Chen (CoRR, 2024)

Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities. - Zikai Zhang; Suman Rath; Jiaohao Xu; Tingsong Xiao (CoRR, 2024)

A Fast AI Surrogate for Coastal Ocean Circulation Models. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (CoRR, 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Zhengkun Xiao; Yupu Zhang; Zibo Liu; Shigang Chen; My T. Thai; Jiang Bian 001; Parisa Rashidi; Zhe Jiang 001 (AAAI, 2025)

Accelerate Coastal Ocean Circulation Model with AI Surrogate. - Zelin Xu 001; Jie Ren; Yupu Zhang; Jose Maria Gonzalez Ondina; Maitane Olabarrieta; Tingsong Xiao; Wenchong He; Zibo Liu; Shigang Chen; Kaleb E. Smith; Zhe Jiang 001 (IPDPS, 2025)

Prompt Inversion Attack Against Collaborative Inference of Large Language Models. - Wenjie Qu 001; Yuguang Zhou; Yongji Wu; Tingsong Xiao; Binhang Yuan; Yiming Li 004; Jiaheng Zhang (SP, 2025)

Spatio-temporal Partial Sensing Forecast of Long-term Traffic. - Zibo Liu; Zhe Jiang 001; Zelin Xu 001; Tingsong Xiao; Zhengkun Xiao; Yupu Zhang; Haibo Wang 004; Shigang Chen (Trans. Mach. Learn. Res., 2025)

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction. - Yupu Zhang; Zelin Xu 001; Tingsong Xiao; Gustavo de M. Seabra; Yanjun Li 005; Chenglong Li; Zhe Jiang 001 (CoRR, 2025)