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Gao Ming Huang

Gao Ming Huang has 5 papers in our library, in 2016–2026, most of them on Reasoning, Language models & pretraining; often with Andrew Zhao, Yang Yue, Bin Li.

5 papers in our library · 2016–2026

OpenAlex · ORCID · Wikidata · h-index 59 · 288 works · 68,150 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 1,628 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #1329

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Tsinghua UniversityBeijing · China2012–2026 · 211 papersEmployment since 2021 · Associate Professor, Department of Automationcurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2021–2025 · 24 papers🎓Cornell UniversityIthaca · United States2016–2021 · 18 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2020–2025 · 9 papers🎓Beijing University of TechnologyBeijing · China2021–2023 · 7 papers🎓Naval University of EngineeringWuhan · China2011–2014 · 7 papers🎓Purdue University West LafayetteWest Lafayette · United States2009–2014 · 4 papers🎓Changzhou UniversityChangzhou · China2020–2022 · 3 papers🎓Beibu Gulf UniversityQinzhou · China2023–2024 · 2 papers🎓Zhejiang UniversityHangzhou · China2022–2023 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 5 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 3 worksArts and Humanities · 3 worksMathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20252 papers20231 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Deep Networks with 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? (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 (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 (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGao Ming Huang et al.2017 · 46,310 citations
  2. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  3. Vision Transformer with Deformable Attention ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhuofan Xia et al.2022 · 996 citations
  4. Rethinking the Value of Network Pruning ↗arXiv (Cornell University) · no summary yetZhuang Liu et al.2018 · 960 citations
  5. On the Integration of Self-Attention and Convolution ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXuran Pan et al.2022 · 554 citations
  6. Horizontal Pyramid Matching for Person Re-Identification ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYang Lie Fu et al.2019 · 479 citations
  7. FLatten Transformer: Vision Transformer using Focused Linear Attention ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDongchen Han et al.2023 · 357 citations
  8. BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChenyu Yang et al.2023 · 339 citations
  9. ExpeL: LLM Agents Are Experiential Learners ↗arXiv:2308.10144 · no summary yetAndrew 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 paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 216 citations
  11. Adaptive Rotated Convolution for Rotated Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYifan Pu et al.2023 · 197 citations
  12. Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention ↗arXiv:2304.04237 · no summary yetXuran Pan et al.2023 · 110 citations
  13. Adaptive Focus for Efficient Video Recognition ↗arXiv:2105.03245 · no summary yetYulin 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 MemoryarXiv:2305.17144Xizhou Zhu, Yuntao Chen, Hao Tian, et al.2023 · 96 citations
  15. Absolute Zero: Reinforced Self-play Reasoning with Zero DataConference on Neural Information Processing Systems (NeurIPS)Andrew Zhao, Yiran Wu, Yang Yue, et al.2025 · 57 citations
  16. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (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.

Venues

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

 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 →.

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