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 (IJCNN, 2020)

TransEHR: Self-Supervised Transformer for Clinical Time Series Data. - Yanbo Xu; Shangqing Xu; Manav Ramprassad; Alexey Tumanov; Chao Zhang 014 (ML4H@NeurIPS, 2023)

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2024)

Misconfidence-based Demonstration Selection for LLM In-Context Learning. - Shangqing Xu; Chao Zhang 014 (CoRR, 2024)

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. - Haoxin Liu 001; Harshavardhan Kamarthi; Zhiyuan Zhao 002; Shangqing Xu; Shiyu Wang; Qingsong Wen; Tom Hartvigsen; Fei Wang; B. Aditya Prakash (CoRR, 2025)

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. - Zhiyuan Zhao 002; Juntong Ni; Shangqing Xu; Haoxin Liu 001; Wei Jin 009; B. Aditya Prakash (CoRR, 2025)