--- title: "Guodong Long — author profile and papers — Elamur Research" description: "Guodong Long, University of Technology Sydney: 3 papers on Elamur Research (2017–2023), h-index 49 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/guodong-long/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guodong-long/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guodong Long # Guodong Long Guodong Long has 3 papers in our library, in 2017–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chengqi Zhang](https://md.research.elamur.ai/free/en/authors/chengqi-zhang/), [Shirui Pan](https://md.research.elamur.ai/free/en/authors/shirui-pan/), [Tao Shen](https://md.research.elamur.ai/free/en/authors/tao-shen/). 3 papers in our library · 2017–2023 [OpenAlex](https://openalex.org/A5059227406) · [ORCID](https://orcid.org/0000-0003-3740-9515) · [Wikidata](https://www.wikidata.org/wiki/Q89560791) · [**h-index 49**](https://openalex.org/authors/A5059227406) · [286 works](https://openalex.org/works?filter=author.id:A5059227406) · [15,087 citations](https://openalex.org/works?filter=author.id:A5059227406&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/guodong-long/#papers) · [🔗 Cited 419 times in our library](https://md.research.elamur.ai/free/en/authors/guodong-long/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #270](https://md.research.elamur.ai/free/en/paper-stars/page/3/#star-270) 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=Guodong+Long) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guodong+Long) · [dblp](https://dblp.org/search?q=Guodong+Long) · [ACL Anthology](https://aclanthology.org/search/?q=Guodong+Long) ## Affiliations [🎓**University of Technology Sydney** Sydney · Australia 2011–2026 · 226 papersEmployment 2020–2026 · Asociate Professor, Faculty of Engineering and ITEmployment since 2026 · Professor, Faculty of Engineering and IT*current*](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🏢**Microsoft** Redmond · United States 2019–2023 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**The University of Queensland** Brisbane · Australia 2015–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-queensland/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Natural language understanding · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-understanding/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/guodong-long/year/2023/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/guodong-long/year/2019/) · [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/guodong-long/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Comprehensive Survey on Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/wu-2019-comprehensive-survey-graph-neural-networks/)** *(2019 · 10,312 citations)* Deep learning works well on grid-like data such as images and text sequences. Many real datasets are graphs instead: nodes have varying numbers of unordered neighbours, and instances depend on each other. This survey reviews deep learning methods for graph data and sorts them into four families. Recurrent GNNs… 2. **[DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding](https://md.research.elamur.ai/free/en/papers/shen-2017-disan-directional-self-attention-network/)** *(2017 · 854 citations)* Sentence encoders in NLP usually rely on RNNs for long-range context or on CNNs for local patterns. Both have drawbacks: RNNs process tokens sequentially, and standard attention ignores word order. The authors propose DiSAN, a lightweight sentence-encoding network that uses only attention. It has two new components.… 3. **[Large Language Models are Strong Zero-Shot Retriever](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-strong-zero/)** *(2023 · 26 citations)* Zero-shot first-stage retrieval, where only a raw document collection is available and no labeled query–document pairs exist, usually trails supervised systems. ## All works 9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**A Comprehensive Survey on Graph Neural Networks arXiv:1901.00596**Zonghan Wu, Shirui Pan, Fengwen Chen, et al.*2019 · 10,312 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-comprehensive-survey-graph-neural-networks/) 2. **[Graph WaveNet for Deep Spatial-Temporal Graph Modeling ↗](https://doi.org/10.24963/ijcai.2019/264) International Joint Conference on Artificial Intelligence · no summary yet**Zonghan Wu et al.*2019 · 2,968 citations* 3. **[DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding](https://md.research.elamur.ai/free/en/papers/shen-2017-disan-directional-self-attention-network/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Tao Shen, Tianyi Zhou, Guodong Long, et al.*2017 · 854 citations* 4. **[FedProto: Federated Prototype Learning across Heterogeneous Clients ↗](https://doi.org/10.1609/aaai.v36i8.20819) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yue Tan et al.*2022 · 766 citations* 5. **[Attributed Graph Clustering: A Deep Attentional Embedding Approach ↗](https://doi.org/10.24963/ijcai.2019/509) International Joint Conference on Artificial Intelligence · no summary yet**Chun Wang et al.*2019 · 582 citations* 6. **[Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base ↗](https://aclanthology.org/D19-1248/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Tao Shen et al.*2019 · 110 citations* 7. **[Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning ↗](https://aclanthology.org/2020.emnlp-main.722/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Tao Shen et al.*2020 · 87 citations* 8. **[Robust Semi-Supervised Learning through Label Aggregation ↗](https://doi.org/10.1609/aaai.v30i1.10276) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yan Yan et al.*2016 · 53 citations* 9. [**Large Language Models are Strong Zero-Shot Retriever arXiv:2304.14233**Tao Shen, Guodong Long, Xiubo Geng, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-strong-zero/) ## Co-authors here 9 co-authors with a page, the most papers together first. - [Chengqi Zhang](https://md.research.elamur.ai/free/en/authors/chengqi-zhang/) ×2 - [Shirui Pan](https://md.research.elamur.ai/free/en/authors/shirui-pan/) ×2 - [Tao Shen](https://md.research.elamur.ai/free/en/authors/tao-shen/) ×2 - [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) ×2 - [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/) - [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/) - [Jing Jiang](https://md.research.elamur.ai/free/en/authors/jing-jiang/) - [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) - [Xiubo Geng](https://md.research.elamur.ai/free/en/authors/xiubo-geng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/) ×3: [Proceedings of the AAAI Conference on Artificial Intelligence 2017](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2017/) - International Joint Conference on Artificial Intelligence ×2 - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ## Cited by Papers of our library cite their works 419 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/guodong-long/cited-by/). Updated 30 October 2026