ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057 (CoRR, 2024)

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. - Xiaoyu Tao 001; Tingyue Pan; Mingyue Cheng; Yucong Luo (CoRR, 2024)

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. - Jie Ouyang; Tingyue Pan; Mingyue Cheng; Ruiran Yan; Yucong Luo; Jiaying Lin; Qi Liu (ACL (1), 2025)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057; Shijin Wang 001 (WWW (Companion Volume), 2025)

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. - Jie Ouyang; Tingyue Pan; Mingyue Cheng; Ruiran Yan; Yucong Luo; Jiaying Lin; Qi Liu 003 (CoRR, 2025)

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model. - Jintao Zhang; Zirui Liu 010; Mingyue Cheng; Shilong Zhang; Tingyue Pan; Qi Liu 003; Yanhu Xie (CoRR, 2025)

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. - Yucong Luo; Yitong Zhou; Mingyue Cheng; Jiahao Wang; Daoyu Wang; Tingyue Pan; Jintao Zhang (CoRR, 2025)

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization. - Xiaoyu Tao 001; Shilong Zhang; Mingyue Cheng; Daoyu Wang; Tingyue Pan; Bokai Pan; Changqing Zhang; Shijin Wang 001 (CoRR, 2025)