LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. - Haoxin Liu 001; Zhiyuan Zhao 002; Jindong Wang 001; Harshavardhan Kamarthi; B. Aditya Prakash (ACL (Findings), 2024)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. - Haoxin Liu 001; Harshavardhan Kamarthi; Lingkai Kong; Zhiyuan Zhao 002; Chao Zhang 014; B. Aditya Prakash (ICML, 2024)

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)

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)

TSI-Bench: Benchmarking Time Series Imputation. - Wenjie Du; Jun Wang; Linglong Qian; Yiyuan Yang; Fanxing Liu; Zepu Wang; Zina M. Ibrahim; Haoxin Liu 001; Zhiyuan Zhao 002; Yingjie Zhou; Wenjia Wang; Kaize Ding; et al. (CoRR, 2024)

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. - Haoxin Liu 001; Chenghao Liu; B. Aditya Prakash (NAACL (Long Papers), 2025)

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights. - Haoxin Liu 001; Zhiyuan Zhao 002; Shiduo Li; B. Aditya Prakash (CoRR, 2025)

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)