---
title: "Yuxuan Liang · Fudan University — author profile and papers"
description: "Yuxuan Liang, Fudan University: 2 papers on Elamur Research (2023–2026), h-index 41 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/yuxuan-liang/"
---
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# Yuxuan Liang

Yuxuan Liang has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/), [James Y. Zhang](https://md.research.elamur.ai/free/en/authors/james-y-zhang/), [Lintao Ma](https://md.research.elamur.ai/free/en/authors/lintao-ma/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5018828723) · [ORCID](https://orcid.org/0000-0003-2817-7337) · [Wikidata](https://www.wikidata.org/wiki/Q130818189) · [**h-index 41**](https://openalex.org/authors/A5018828723) · [275 works](https://openalex.org/works?filter=author.id:A5018828723) · [7,383 citations](https://openalex.org/works?filter=author.id:A5018828723&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-liang/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/yuxuan-liang/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8321](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8321)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuxuan+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxuan+Liang) · [dblp](https://dblp.org/search?q=Yuxuan+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxuan+Liang)

## Affiliations

[🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2023–2026 · 209 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**Fudan University** Shanghai · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**South China University of Technology** Guangzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**National University of Singapore** Singapore · Singapore 2016–2023 · 44 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2023–2026 · 13 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Xidian University** Xi'an · China 2016–2020 · 6 papers](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🎓**Peking University** Beijing · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**State Key Laboratory of Resources and Environmental Information System** Beijing 2024–2025 · 4 papers](https://ror.org/03w41by72) · [🏛️**Chinese Academy of Sciences** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🏢**Jingdong** Beijing · China 2018–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/jingdong/)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Building and Construction · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/building-and-construction/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxuan-liang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yuxuan-liang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Time-LLM: Time Series Forecasting by Reprogramming Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)** *(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](https://md.research.elamur.ai/free/en/papers/zou-2026-traffic-r1-reinforced-llms-bring/)** *(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 ↗](https://doi.org/10.1609/aaai.v38i10.28991) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Wanlin Cai et al.*2024 · 242 citations*
2. **[Foundation Models for Time Series Analysis: A Tutorial and Survey ↗](https://doi.org/10.1145/3637528.3671451) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yuxuan Liang et al.*2024 · 235 citations*
3. **[Learning to Generate Maps from Trajectories ↗](https://doi.org/10.1609/aaai.v34i01.5435) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sijie Ruan et al.*2020 · 83 citations*
4. [**Time-LLM: Time Series Forecasting by Reprogramming Large Language Models arXiv:2310.01728**Ming Jin, Shiyu Wang, Lintao Ma, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-time-llm-time-series-forecasting/)
5. **[Position: What Can Large Language Models Tell Us about Time Series Analysis ↗](https://arxiv.org/abs/2402.02713) arXiv:2402.02713 · no summary yet**Ming Jin et al.*2024 · 31 citations*
6. **[Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems](https://md.research.elamur.ai/free/en/papers/zou-2026-traffic-r1-reinforced-llms-bring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingchen Zou, Yuhao Yang, Zheng Chen, et al.*2026 · 4 citations*

## Co-authors here

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

- [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/)
- [James Y. Zhang](https://md.research.elamur.ai/free/en/authors/james-y-zhang/)
- [Lintao Ma](https://md.research.elamur.ai/free/en/authors/lintao-ma/)
- [Ming Jin](https://md.research.elamur.ai/free/en/authors/ming-jin/)
- [Pin-Yu Chen](https://md.research.elamur.ai/free/en/authors/pin-yu-chen/)
- [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/)
- [Shirui Pan](https://md.research.elamur.ai/free/en/authors/shirui-pan/)
- [Shiyu Wang](https://md.research.elamur.ai/free/en/authors/shiyu-wang/)
- [Xiaoming Shi](https://md.research.elamur.ai/free/en/authors/xiaoming-shi/)
- [Yuan-Fang Li](https://md.research.elamur.ai/free/en/authors/yuan-fang-li/)
- [Yuhao Yang](https://md.research.elamur.ai/free/en/authors/yuhao-yang/)
- [Zheng Chen](https://md.research.elamur.ai/free/en/authors/zheng-chen/)

## Venues

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

- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

## 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 →](https://md.research.elamur.ai/free/en/authors/yuxuan-liang/cited-by/).

Updated 2 November 2026
