---
title: "Yingbo Zhou — author profile and papers — Elamur Research"
description: "Yingbo Zhou, Salesforce: 4 papers on Elamur Research (2024–2026), h-index 26 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yingbo-zhou/"
---
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# Yingbo Zhou

Yingbo Zhou has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/), [Ansong Ni](https://md.research.elamur.ai/free/en/authors/ansong-ni/), [Dejing Dou](https://md.research.elamur.ai/free/en/authors/dejing-dou/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5040821130) · [ORCID](https://orcid.org/0000-0001-6034-9667) · [**h-index 26**](https://openalex.org/authors/A5040821130) · [143 works](https://openalex.org/works?filter=author.id:A5040821130) · [5,628 citations](https://openalex.org/works?filter=author.id:A5040821130&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yingbo-zhou/#papers) · [🔗 Cited 408 times in our library](https://md.research.elamur.ai/free/en/authors/yingbo-zhou/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6438](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6438)

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

## Affiliations

[🏢**Salesforce** San Francisco · United States 2018–2026 · 54 papers*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🎓**East China Normal University** Shanghai · China 2023–2026 · 13 papersEducation*current*](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**University at Buffalo, State University of New York** Buffalo · United States 2011–2017 · 13 papers](https://md.research.elamur.ai/free/en/universities/university-at-buffalo-state-university-of-new-york/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2009–2011 · 6 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Hunan University** Changsha · China 2010–2016 · 4 papers](https://md.research.elamur.ai/free/en/universities/hunan-university/) · [🎓**The University of Texas at Austin** Austin · United States 2022–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🏢**Google** Mountain View · United States 2013–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**State Grid Corporation of China** Beijing · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shanghai Advanced Research Institute** Pudong · China 2021 · 2 papers](https://ror.org/02br7py06)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [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/yingbo-zhou/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yingbo-zhou/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yingbo-zhou/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LLMs Get Lost In Multi-Turn Conversation](https://md.research.elamur.ai/free/en/papers/laban-2025-llms-get-lost-multi-turn/)** *(2025 · 82 citations)* Most LLM benchmarks give the model a complete instruction in a single turn. Real users, however, often begin vaguely and add details as the conversation goes on. Laban et al. measure how much this gap matters. They build a "sharded simulation" environment from existing high-quality single-turn benchmarks such as…
2. **[L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2024-l2ceval-evaluating-language-code-generation/)** *(2024 · 27 citations)* Large language models trained on code can turn natural-language requests into executable programs, but earlier evaluations covered isolated tasks, single model families or particular learning setups.
3. **[CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-codetree-agent-guided-tree-search/)** *(2025 · 21 citations)* Hard programming tasks have a huge space of possible solutions. Older methods either sample many independent candidates or repeatedly refine one early attempt, which can trap them in a local optimum. CodeTree addresses this by organizing code generation as a tree search run by cooperating LLM agents. A Thinker agent…
4. **[AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation](https://md.research.elamur.ai/free/en/papers/qian-2026-anchorseg-language-grounded-query-banks/)** *(2026)* Reasoning segmentation asks a model to produce a pixel mask for a target described only indirectly, for example by its function rather than its name.

## All works

20 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[End-to-End Dense Video Captioning with Masked Transformer ↗](https://doi.org/10.1109/cvpr.2018.00911) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Luowei Zhou et al.*2018 · 636 citations*
2. **[RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering ↗](https://aclanthology.org/2022.acl-long.417/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xi Ye et al.*2022 · 198 citations*
3. **[CodeGen2: Lessons for Training LLMs on Programming and Natural Languages ↗](https://arxiv.org/abs/2305.02309) arXiv:2305.02309 · no summary yet**Erik Nijkamp et al.*2023 · 94 citations*
4. **[Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ↗](https://arxiv.org/abs/1904.00310) arXiv (Cornell University) · no summary yet**Xilai Li et al.*2019 · 94 citations*
5. [**LLMs Get Lost In Multi-Turn Conversation arXiv:2505.06120**Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.*2025 · 82 citations*](https://md.research.elamur.ai/free/en/papers/laban-2025-llms-get-lost-multi-turn/)
6. **[WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos ↗](https://doi.org/10.1109/cvpr46437.2021.00195) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mingfei Gao et al.*2021 · 55 citations*
7. **[Focused Attention Improves Document-Grounded Generation ↗](https://aclanthology.org/2021.naacl-main.338/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Shrimai Prabhumoye et al.*2021 · 55 citations*
8. **[Unsupervised Paraphrasing with Pretrained Language Models ↗](https://aclanthology.org/2021.emnlp-main.417/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tong Niu et al.*2021 · 48 citations*
9. **[A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation ↗](https://doi.org/10.21437/interspeech.2018-1535) Interspeech (USB) · no summary yet**Ehsan Hosseini-Asl et al.*2018 · 46 citations*
10. **[Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ↗](https://arxiv.org/abs/1807.00374) arXiv (Cornell University) · no summary yet**Ehsan Hosseini-Asl et al.*2018 · 43 citations*
11. **[Improving End-to-End Speech Recognition with Policy Learning ↗](https://doi.org/10.1109/icassp.2018.8462361) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Yingbo Zhou, Caiming Xiong, Richard Socher*2018 · 43 citations*
12. **[UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild ↗](https://arxiv.org/abs/2305.11147) arXiv (Cornell University) · no summary yet**Can Qin et al.*2023 · 36 citations*
13. **[An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1873) Interspeech (USB) · no summary yet**Weiran Wang et al.*2020 · 31 citations*
14. **[L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2024-l2ceval-evaluating-language-code-generation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.*2024 · 27 citations*
15. **[CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-codetree-agent-guided-tree-search/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jierui Li, Hung Le, Yingbo Zhou, et al.*2025 · 21 citations*
16. **[Improved Regularization Techniques for End-to-End Speech Recognition ↗](https://arxiv.org/abs/1712.07108) arXiv (Cornell University) · no summary yet**Yingbo Zhou, Caiming Xiong, Richard Socher*2017 · 11 citations*
17. **[Converse: A Tree-Based Modular Task-Oriented Dialogue System ↗](https://arxiv.org/abs/2203.12187) arXiv (Cornell University) · no summary yet**Tian Xie et al.*2022 · 10 citations*
18. **[Online Structured Meta-learning ↗](https://arxiv.org/abs/2010.11545) arXiv (Cornell University) · no summary yet**Huaxiu Yao et al.*2020 · 9 citations*
19. **[AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation](https://md.research.elamur.ai/free/en/papers/qian-2026-anchorseg-language-grounded-query-banks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Qian, Chuanhang Deng, Qiang Huang, et al.*2026*
20. **[Continual Learning via Explicit Structure Learning ↗](https://openalex.org/W2907916442) no summary yet**Xilai Li et al.*2018*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) ×2
- [Ansong Ni](https://md.research.elamur.ai/free/en/authors/ansong-ni/)
- [Dejing Dou](https://md.research.elamur.ai/free/en/authors/dejing-dou/)
- [Hiroaki Hayashi](https://md.research.elamur.ai/free/en/authors/hiroaki-hayashi/)
- [Hung Le](https://md.research.elamur.ai/free/en/authors/hung-le/)
- [Jierui Li](https://md.research.elamur.ai/free/en/authors/jierui-li/)
- [Jintao Chen](https://md.research.elamur.ai/free/en/authors/jintao-chen/)
- [Martin Riddell](https://md.research.elamur.ai/free/en/authors/martin-riddell/)
- [Mingxuan Li](https://md.research.elamur.ai/free/en/authors/mingxuan-li/)
- [Pengcheng Yin](https://md.research.elamur.ai/free/en/authors/pengcheng-yin/)
- [Philippe Laban](https://md.research.elamur.ai/free/en/authors/philippe-laban/)
- [Rui Qian](https://md.research.elamur.ai/free/en/authors/rui-qian/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- Interspeech (USB) ×2
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/)
- IEEE International Conference on Acoustics Speech and Signal Processing
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 408 times (of the 149,439 papers whose bibliographies we read); [62 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingbo-zhou/cited-by/).

Updated 1 November 2026