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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.

2 papers in our library · 2023–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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
  3. Learning to Generate Maps from Trajectories ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSijie Ruan et al.2020 · 83 citations
  4. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
  5. Position: What Can Large Language Models Tell Us about Time Series Analysis ↗arXiv:2402.02713 · no summary yetMing Jin et al.2024 · 31 citations

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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