Yuxuan Liang
Yuxuan Liang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Chao Huang, James Y. Zhang, Lintao Ma.
OpenAlex · ORCID · Wikidata · h-index 41 · 275 works · 7,383 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 105 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #8321
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workEngineering · 1 workBuilding and Construction · 1 workControl and Systems Engineering · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models (2023 · 77 citations)
Forecasting models for time series are usually built for a single task or domain. Pre-trained foundation models for this data type are scarce because large training collections are lacking. Time-LLM tackles this by adapting an existing large language model to forecasting while leaving all of its weights frozen. - Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems (2026 · 4 citations)
Traffic signal control (TSC) systems based on fixed heuristics or reinforcement learning often fail when moved to new road networks.
All works
- MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetWanlin Cai et al.2024 · 242 citations
- Foundation Models for Time Series Analysis: A Tutorial and Survey ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYuxuan Liang et al.2024 · 235 citations
- Learning to Generate Maps from Trajectories ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSijie Ruan et al.2020 · 83 citations
- Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
- Position: What Can Large Language Models Tell Us about Time Series Analysis ↗arXiv:2402.02713 · no summary yetMing Jin et al.2024 · 31 citations
- Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingchen Zou, Yuhao Yang, Zheng Chen, et al.2026 · 4 citations
Co-authors here
- Chao Huang
- James Y. Zhang
- Lintao Ma
- Ming Jin
- Pin-Yu Chen
- Qingsong Wen
- Shirui Pan
- Shiyu Wang
- Xiaoming Shi
- Yuan-Fang Li
- Yuhao Yang
- Zheng Chen
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Cited by
Updated
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