---
title: "Jianyu Wang — author profile and papers — Elamur Research"
description: "Jianyu Wang: 2 papers on Elamur Research (2022–2023), h-index 34 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jianyu-wang/"
---
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# Jianyu Wang

Jianyu Wang has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/), [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/), [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/).

2 papers in our library · 2022–2023

[OpenAlex](https://openalex.org/A5115597626) · [ORCID](https://orcid.org/0000-0002-3507-0338) · [**h-index 34**](https://openalex.org/authors/A5115597626) · [205 works](https://openalex.org/works?filter=author.id:A5115597626) · [8,362 citations](https://openalex.org/works?filter=author.id:A5115597626&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jianyu-wang/#papers) · [🔗 Cited 294 times in our library](https://md.research.elamur.ai/free/en/authors/jianyu-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3662](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3662)

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=Jianyu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jianyu+Wang) · [dblp](https://dblp.org/search?q=Jianyu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jianyu+Wang)

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2005–2025 · 45 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shanghai Institute of Technical Physics** Shanghai · China 2010–2025 · 40 papers](https://ror.org/02txedb84) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2020–2025 · 14 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Baidu** Beijing · China 2017–2020 · 11 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**University of Science and Technology of China** Hefei · China 2010–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Northeastern University** Shenyang · China 2020–2024 · 7 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🔬**Shenyang Institute of Automation** Shenyang · China 2021–2024 · 6 papers](https://ror.org/00ft6nj33) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2016–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🔬**Shanghai Research Center for Quantum Sciences** Shanghai · China 2020–2025 · 5 papers](https://ror.org/05h75jy94) · [🎓**Harbin Institute of Technology** Harbin · China 2003–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 66 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2023** 1 paper Jianyu Wang's papers of 2023](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/) · [**2022** 1 paper Jianyu Wang's papers of 2022](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)** *(2022 · 328 citations)* The paper addresses the challenge of automatically finding effective discrete text prompts for frozen pre-trained language models.
2. **[SeaLLMs — Large Language Models for Southeast Asia](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/)** *(2023 · 92 citations)* Mainstream LLMs are trained mostly on English. As a result, they handle Southeast Asian languages poorly, especially those written in non-Latin scripts, which standard BPE tokenizers break into very long token sequences. SeaLLMs are open models for Southeast Asian languages, built by adapting English-centric…

## All works

3 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. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 328 citations*
2. [**SeaLLMs — Large Language Models for Southeast Asia arXiv:2312.00738**Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/)
3. **[Compositional Generalization for Primitive Substitutions ↗](https://arxiv.org/abs/1910.02612) arXiv:1910.02612 · no summary yet**Yuanpeng Li et al.*2019 · 53 citations*

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/)
- [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/)
- [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/)
- [Guanzheng Chen](https://md.research.elamur.ai/free/en/authors/guanzheng-chen/)
- [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/)
- [Mingkai Deng](https://md.research.elamur.ai/free/en/authors/mingkai-deng/)
- [Qingyu Tan](https://md.research.elamur.ai/free/en/authors/qingyu-tan/)
- [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/)
- [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/)
- [Xingxuan Li](https://md.research.elamur.ai/free/en/authors/xingxuan-li/)
- [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/)
- [Yew Ken Chia](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/)

## Cited by

Papers of our library cite their works 294 times (of the 141,840 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianyu-wang/cited-by/).

Updated 24 October 2026
