Shangqing Xu - RankMe

11 papers A* 1A 1B 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations. CoRR Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong, Xingyu Zhou, James Peters, Joseph Czyzyk, B. Aditya Prakash
2026	J	`jnl`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CoRR Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2025	J	`jnl`	How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash
2025	A	`conf`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CIKM Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2025	J	`jnl`	Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction. CoRR Shangqing Xu, Zhiyuan Zhao, Megha Sharma, José María Martín-Olalla, Alexander Rodríguez, Gregory A. Wellenius, B. Aditya Prakash
2025	J	`jnl`	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. CoRR Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
2024	J	`jnl`	Misconfidence-based Demonstration Selection for LLM In-Context Learning. CoRR Shangqing Xu, Chao Zhang
2024	J	`jnl`	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. NeurIPS Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2023	—	`conf`	TransEHR: Self-Supervised Transformer for Clinical Time Series Data. ML4H@NeurIPS Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang
2020	B	`conf`	Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing. IJCNN Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei