--- title: "Can Gao — author profile and papers — Elamur Research" description: "Can Gao: 2 papers on Elamur Research (2020–2021), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/can-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/can-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Can Gao # Can Gao Can Gao has 2 papers in our library, in 2020–2021, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/), [Hao Liu](https://md.research.elamur.ai/free/en/authors/hao-liu/), [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/). 2 papers in our library · 2020–2021 [OpenAlex](https://openalex.org/A5045486337) · [**h-index 3**](https://openalex.org/authors/A5045486337) · [4 works](https://openalex.org/works?filter=author.id:A5045486337) · [532 citations](https://openalex.org/works?filter=author.id:A5045486337&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/can-gao/#papers) · [🔗 Cited 129 times in our library](https://md.research.elamur.ai/free/en/authors/can-gao/cited-by/) · [⭐ Paper Stars ranking: #2959](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2959) 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=Can+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Can+Gao) · [dblp](https://dblp.org/search?q=Can+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Can+Gao) ## Affiliations [🏢**Baidu** Beijing · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/baidu/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2021** 1 paper Can Gao's papers of 2021](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/) · [**2020** 1 paper Can Gao's papers of 2020](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/) ## Papers The most cited first (OpenAlex and our library). 1. **[SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/)** *(2020 · 333 citations)* Pre-trained language models such as BERT and RoBERTa learn general representations through word-level objectives. 2. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/)** *(2021 · 299 citations)* Existing pre-trained models usually serve only one side. Text-only and vision-only models such as BERT or ResNet cannot handle vision-language inputs. Multi-modal models such as ViLBERT and UNITER learn only from scarce image-text pairs and perform poorly when moved to pure language tasks. The authors (Baidu) propose… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) ×2 - [Hao Liu](https://md.research.elamur.ai/free/en/authors/hao-liu/) ×2 - [Hua Wu](https://md.research.elamur.ai/free/en/authors/hua-wu/) ×2 - [Xinyan Xiao](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/) ×2 - [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/) - [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/) ## 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 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/), [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) ## Cited by Papers of our library cite their works 129 times (of the 141,840 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/can-gao/cited-by/). Updated 24 October 2026