Low-rank Adaptation for Spatio-Temporal Forecasting. - Weilin Ruan; Wei Chen; Xilin Dang; Jianxiang Zhou; Weichuang Li; Xu Liu; Yuxuan Liang (CoRR, 2024)

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting. - Weilin Ruan; Wenzhuo Wang; Siru Zhong; Wei Chen; Li Liu; Yuxuan Liang (CoRR, 2024)

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. - Siru Zhong; Weilin Ruan; Ming Jin 005; Huan Li; Qingsong Wen; Yuxuan Liang (CoRR, 2025)

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models. - Weilin Ruan; Siru Zhong; Haomin Wen; Yuxuan Liang (CoRR, 2025)

An Empirical Study of the Anchoring Effect in LLMs: Existence, Mechanism, and Potential Mitigations. - Yiming Huang; Biquan Bie; Zuqiu Na; Weilin Ruan; Songxin Lei; Yutao Yue; Xinlei He 001 (CoRR, 2025)

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. - Sisuo Lyu; Siru Zhong; Weilin Ruan; Qingxiang Liu; Qingsong Wen; Hui Xiong 001; Yuxuan Liang (CoRR, 2025)