Shangqing Xu

According to our database, Shangqing Xu authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations.

Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong, Xingyu Zhou, James Peters, Joseph Czyzyk, B. Aditya Prakash

CoRR, March, 2026

2025

Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction.

Shangqing Xu, Zhiyuan Zhao, Megha Sharma, José María Martín-Olalla, Alexander Rodríguez, Gregory A. Wellenius, B. Aditya Prakash

CoRR, December, 2025

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness.

Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

CoRR, June, 2025

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook.

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash

CoRR, March, 2025

In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks.

Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis.

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

CoRR, 2024

Misconfidence-based Demonstration Selection for LLM In-Context Learning.

Shangqing Xu, Chao Zhang

CoRR, 2024

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis.

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

TransEHR: Self-Supervised Transformer for Clinical Time Series Data.

Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang

Proceedings of the Machine Learning for Health, 2023

2020

Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing.

Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020