--- title: "Han Guo — author profile and papers — Elamur Research" description: "Han Guo, University of California San Diego: 2 papers on Elamur Research (2022–2024), h-index 14 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/han-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/han-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Han Guo # Han Guo Han Guo has 2 papers in our library, in 2022–2024; often with [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/), [Ekin Akyürek](https://md.research.elamur.ai/free/en/authors/ekin-akyurek/), [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/). 2 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5101839615) · [ORCID](https://orcid.org/0000-0001-7535-5621) · [**h-index 14**](https://openalex.org/authors/A5101839615) · [88 works](https://openalex.org/works?filter=author.id:A5101839615) · [961 citations](https://openalex.org/works?filter=author.id:A5101839615&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/han-guo/#papers) · [🔗 Cited 206 times in our library](https://md.research.elamur.ai/free/en/authors/han-guo/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5157](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5157) 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=Han+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Han+Guo) · [dblp](https://dblp.org/search?q=Han+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Han+Guo) ## Affiliations [🎓**University of California San Diego** San Diego · United States 2022–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Northwest A&F University** Yangling · China 2022–2026 · 2 papers*current*](https://ror.org/0051rme32) · [🏢**China Telecom** Beijing · China 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/) · [🏢**China Telecom** Changsha · China 2022 · 4 papers](https://md.research.elamur.ai/free/en/companies/china-telecom/) · [🎓**Zhejiang University** Hangzhou · China 2018–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Kyoto University** Kyoto · Japan 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/kyoto-university/) · [🏢**Tencent** Shenzhen · China 2022–2023 · 3 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Laboratoire Roberval** Compiègne · France 2020–2022 · 3 papers](https://ror.org/023ffhx15) · [🏢**State Grid Corporation of China** Beijing · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 31 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 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/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/han-guo/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/han-guo/year/2022/) ## 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 · 338 citations)* The paper addresses the challenge of automatically finding effective discrete text prompts for frozen pre-trained language models. 2. **[The Surprising Effectiveness of Test-Time Training for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/akyurek-2024-surprising-effectiveness-test-time-training/)** *(2024 · 36 citations)* Language models handle tasks similar to their training data well. However, on structurally novel problems they often fail, even when the prompt contains a few examples. The authors, from MIT, investigate test-time training (TTT). During inference, the model is temporarily fine-tuned through adapters, using data… ## 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 · 338 citations* 2. [**The Surprising Effectiveness of Test-Time Training for Few-Shot Learning arXiv:2411.07279**Ekin Akyürek, Mehul Damani, Adam Zweiger, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2024-surprising-effectiveness-test-time-training/) 3. **[Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ↗](https://arxiv.org/abs/2302.04228) arXiv (Cornell University) · no summary yet**Han Wen Guo et al.*2023 · 1 citation* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/) - [Ekin Akyürek](https://md.research.elamur.ai/free/en/authors/ekin-akyurek/) - [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/) - [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) - [Jianyu Wang](https://md.research.elamur.ai/free/en/authors/jianyu-wang/) - [Linlu Qiu](https://md.research.elamur.ai/free/en/authors/linlu-qiu/) - [Mehul Damani](https://md.research.elamur.ai/free/en/authors/mehul-damani/) - [Mingkai Deng](https://md.research.elamur.ai/free/en/authors/mingkai-deng/) - [Tianmin Shu](https://md.research.elamur.ai/free/en/authors/tianmin-shu/) - [Yihan Wang](https://md.research.elamur.ai/free/en/authors/yihan-wang/) - [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) - [Zhiting Hu](https://md.research.elamur.ai/free/en/authors/zhiting-hu/) ## 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 206 times (of the 149,439 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/han-guo/cited-by/). Updated 3 November 2026