---
title: "Tianjun Xiao — author profile and papers — Elamur Research"
description: "Tianjun Xiao: 2 papers on Elamur Research (2015–2024), h-index 13 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/tianjun-xiao/"
---
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# Tianjun Xiao

Tianjun Xiao has 2 papers in our library, in 2015–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/), [Bing Xu](https://md.research.elamur.ai/free/en/authors/bing-xu/), [Chiyuan Zhang](https://md.research.elamur.ai/free/en/authors/chiyuan-zhang/).

2 papers in our library · 2015–2024

[OpenAlex](https://openalex.org/A5020757657) · [ORCID](https://orcid.org/0000-0003-4705-1545) · [**h-index 13**](https://openalex.org/authors/A5020757657) · [30 works](https://openalex.org/works?filter=author.id:A5020757657) · [3,814 citations](https://openalex.org/works?filter=author.id:A5020757657&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tianjun-xiao/#papers) · [🔗 Cited 320 times in our library](https://md.research.elamur.ai/free/en/authors/tianjun-xiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1537](https://md.research.elamur.ai/free/en/paper-stars/page/16/#star-1537)

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

## Affiliations

[🏢**Amazon** Seattle · United States 2021–2025 · 10 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Peking University** Beijing · China 2014–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2019–2025 · 2 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 8 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [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 · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Machine learning · 1 work](https://md.research.elamur.ai/free/en/concepts/machine-learning/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tianjun-xiao/year/2024/)

### 2010s

[**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/tianjun-xiao/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems](https://md.research.elamur.ai/free/en/papers/chen-2015-mxnet-flexible-efficient-machine-learning/)** *(2015 · 2,000 citations)* Deep learning developers usually have to pick between two styles. Imperative tensor code is easy to debug and works with host-language tools. Declarative computation graphs expose the whole structure, so the system can optimize it. MXNet tries to give users both styles in one library. Network structure is described…
2. **[Hallucination of Multimodal Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/bai-2024-hallucination-multimodal-large-language-models/)** *(2024 · 120 citations)* This survey examines cases where multimodal large language models (MLLMs, sometimes termed LVLMs) produce text that contradicts the image they are given, a failure known as hallucination.

## 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. [**MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems arXiv:1512.01274**Tianqi Chen, Mu Li, Yutian Li, et al.*2015 · 2,000 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-mxnet-flexible-efficient-machine-learning/)
2. **[The application of two-level attention models in deep convolutional neural network for fine-grained image classification ↗](https://doi.org/10.1109/cvpr.2015.7298685) 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**Tianjun Xiao et al.*2015 · 788 citations*
3. [**Hallucination of Multimodal Large Language Models: A Survey arXiv:2404.18930**Zechen Bai, Pichao Wang, Tianjun Xiao, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-hallucination-multimodal-large-language-models/)

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) ×2
- [Bing Xu](https://md.research.elamur.ai/free/en/authors/bing-xu/)
- [Chiyuan Zhang](https://md.research.elamur.ai/free/en/authors/chiyuan-zhang/)
- [Mike Zheng Shou](https://md.research.elamur.ai/free/en/authors/mike-zheng-shou/)
- [Min Lin](https://md.research.elamur.ai/free/en/authors/min-lin/)
- [Mu Li](https://md.research.elamur.ai/free/en/authors/mu-li/)
- [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

## Cited by

Papers of our library cite their works 320 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianjun-xiao/cited-by/).

Updated 2 November 2026
