---
title: "Gao Ming Huang — author profile and papers · Reasoning"
description: "Gao Ming Huang, Tsinghua University: 5 papers on Elamur Research (2016–2026), h-index 59 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/gao-ming-huang/"
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# Gao Ming Huang

Gao Ming Huang has 5 papers in our library, in 2016–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Andrew Zhao](https://md.research.elamur.ai/free/en/authors/andrew-zhao/), [Yang Yue](https://md.research.elamur.ai/free/en/authors/yang-yue/), [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/).

5 papers in our library · 2016–2026

[OpenAlex](https://openalex.org/A5013240918) · [ORCID](https://orcid.org/0000-0002-7251-0988) · [Wikidata](https://www.wikidata.org/wiki/Q130886916) · [**h-index 59**](https://openalex.org/authors/A5013240918) · [288 works](https://openalex.org/works?filter=author.id:A5013240918) · [68,150 citations](https://openalex.org/works?filter=author.id:A5013240918&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/#papers) · [🔗 Cited 1,628 times in our library](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1329](https://md.research.elamur.ai/free/en/paper-stars/page/14/#star-1329)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2012–2026 · 211 papersEmployment since 2021 · Associate Professor, Department of Automation*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2021–2025 · 24 papers](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Cornell University** Ithaca · United States 2016–2021 · 18 papers](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2020–2025 · 9 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**Beijing University of Technology** Beijing · China 2021–2023 · 7 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🎓**Naval University of Engineering** Wuhan · China 2011–2014 · 7 papers](https://ror.org/056vyez31) · [🎓**Purdue University West Lafayette** West Lafayette · United States 2009–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/purdue-university-west-lafayette/) · [🎓**Changzhou University** Changzhou · China 2020–2022 · 3 papers](https://ror.org/04ymgwq66) · [🎓**Beibu Gulf University** Qinzhou · China 2023–2024 · 2 papers](https://ror.org/01dq3qq95) · [🎓**Zhejiang University** Hangzhou · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/year/2023/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Deep Networks with Stochastic Depth](https://md.research.elamur.ai/free/en/papers/huang-2016-deep-networks-stochastic-depth/)** *(2016 · 2,160 citations)* Very deep convolutional networks are hard to train. Gradients weaken on their way back to early layers, input features fade as they pass forward, and training cost grows with every added layer. Huang et al. propose stochastic depth, a way to train a short network while keeping a deep one for inference. Starting from…
2. **[Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?](https://md.research.elamur.ai/free/en/papers/yue-2025-reinforcement-learning-really-incentivize-reasoning/)** *(2025 · 216 citations)* Reinforcement Learning with Verifiable Rewards (RLVR) is widely credited with giving LLMs new reasoning skills in math and code.
3. **[Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory](https://md.research.elamur.ai/free/en/papers/zhu-2023-ghost-minecraft-generally-capable-agents/)** *(2023 · 96 citations)* Earlier Minecraft agents rely mostly on reinforcement learning and target a single objective, ObtainDiamond, which involves under 5% of the game's item types.
4. **[Absolute Zero: Reinforced Self-play Reasoning with Zero Data](https://md.research.elamur.ai/free/en/papers/zhao-2025-absolute-zero-reinforced-self-play/)** *(2025 · 57 citations)* Current "zero" RLVR methods skip human-written reasoning traces, but they still train on large human-curated sets of questions and answers.
5. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/)** *(2026)* LLM-based prompt optimizers rewrite a system prompt over many rounds, guided by scored feedback on the model's answers.

## All works

16 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Densely Connected Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2017.243) 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**Gao Ming Huang et al.*2017 · 46,310 citations*
2. **[Deep Networks with Stochastic Depth](https://md.research.elamur.ai/free/en/papers/huang-2016-deep-networks-stochastic-depth/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Gao Huang, Yu Sun, Zhuang Liu, et al.*2016 · 2,160 citations*
3. **[Vision Transformer with Deformable Attention ↗](https://doi.org/10.1109/cvpr52688.2022.00475) 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**Zhuofan Xia et al.*2022 · 996 citations*
4. **[Rethinking the Value of Network Pruning ↗](https://arxiv.org/abs/1810.05270) arXiv (Cornell University) · no summary yet**Zhuang Liu et al.*2018 · 960 citations*
5. **[On the Integration of Self-Attention and Convolution ↗](https://doi.org/10.1109/cvpr52688.2022.00089) 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**Xuran Pan et al.*2022 · 554 citations*
6. **[Horizontal Pyramid Matching for Person Re-Identification ↗](https://doi.org/10.1609/aaai.v33i01.33018295) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yang Lie Fu et al.*2019 · 479 citations*
7. **[FLatten Transformer: Vision Transformer using Focused Linear Attention ↗](https://doi.org/10.1109/iccv51070.2023.00548) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Dongchen Han et al.*2023 · 357 citations*
8. **[BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision ↗](https://doi.org/10.1109/cvpr52729.2023.01710) 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**Chenyu Yang et al.*2023 · 339 citations*
9. **[ExpeL: LLM Agents Are Experiential Learners ↗](https://arxiv.org/abs/2308.10144) arXiv:2308.10144 · no summary yet**Andrew Zhao et al.*2023 · 296 citations*
10. [**Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paper**Yang Yue, Zhiqi Chen, Rui Lu, et al.*2025 · 216 citations*](https://md.research.elamur.ai/free/en/papers/yue-2025-reinforcement-learning-really-incentivize-reasoning/)
11. **[Adaptive Rotated Convolution for Rotated Object Detection ↗](https://doi.org/10.1109/iccv51070.2023.00606) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yifan Pu et al.*2023 · 197 citations*
12. **[Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention ↗](https://arxiv.org/abs/2304.04237) arXiv:2304.04237 · no summary yet**Xuran Pan et al.*2023 · 110 citations*
13. **[Adaptive Focus for Efficient Video Recognition ↗](https://arxiv.org/abs/2105.03245) arXiv:2105.03245 · no summary yet**Yulin Wang et al.*2021 · 110 citations*
14. [**Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory arXiv:2305.17144**Xizhou Zhu, Yuntao Chen, Hao Tian, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-ghost-minecraft-generally-capable-agents/)
15. **[Absolute Zero: Reinforced Self-play Reasoning with Zero Data](https://md.research.elamur.ai/free/en/papers/zhao-2025-absolute-zero-reinforced-self-play/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Andrew Zhao, Yiran Wu, Yang Yue, et al.*2025 · 57 citations*
16. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.*2026*

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Andrew Zhao](https://md.research.elamur.ai/free/en/authors/andrew-zhao/) ×3
- [Yang Yue](https://md.research.elamur.ai/free/en/authors/yang-yue/) ×2
- [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/)
- [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/)
- [Kilian Q. Weinberger](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/)
- [Lewei Lu](https://md.research.elamur.ai/free/en/authors/lewei-lu/)
- [Qingyun Wu](https://md.research.elamur.ai/free/en/authors/qingyun-wu/)
- [Rui Lu](https://md.research.elamur.ai/free/en/authors/rui-lu/)
- [Shenzhi Wang](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/)
- [Tong Wu](https://md.research.elamur.ai/free/en/authors/tong-wu/)
- [Vitor R. Carvalho](https://md.research.elamur.ai/free/en/authors/vitor-r-carvalho/)
- [Weijie Su](https://md.research.elamur.ai/free/en/authors/weijie-su/)

## 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 ×4
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)
- IEEE/CVF International Conference on Computer Vision (ICCV) ×2
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/): [Lecture notes in computer science 2016](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/2016/)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 1,628 times (of the 149,439 papers whose bibliographies we read); [239 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/cited-by/).

Updated 2 November 2026