--- title: "Wencong Xiao · ByteDance — author profile and papers" description: "Wencong Xiao, ByteDance: 2 papers on Elamur Research (2019–2024), h-index 13 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/wencong-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wencong-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wencong Xiao # Wencong Xiao Wencong Xiao has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Shivaram Venkataraman](https://md.research.elamur.ai/free/en/authors/shivaram-venkataraman/). 2 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5086945155) · [ORCID](https://orcid.org/0000-0002-3043-522X) · [Wikidata](https://www.wikidata.org/wiki/Q130864269) · [**h-index 13**](https://openalex.org/authors/A5086945155) · [38 works](https://openalex.org/works?filter=author.id:A5086945155) · [1,122 citations](https://openalex.org/works?filter=author.id:A5086945155&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wencong-xiao/#papers) · [🔗 Cited 253 times in our library](https://md.research.elamur.ai/free/en/authors/wencong-xiao/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5569](https://md.research.elamur.ai/free/en/paper-stars/page/56/#star-5569) 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=Wencong+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wencong+Xiao) · [dblp](https://dblp.org/search?q=Wencong+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Wencong+Xiao) ## Affiliations [🏢**ByteDance** Beijing · China 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🏢**Alibaba Group** Hangzhou · China 2020–2025 · 14 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Beihang University** Beijing · China 2015–2019 · 9 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏢**Microsoft** Redmond · United States 2019–2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Networks and Communications · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 3 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/wencong-xiao/year/2024/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/wencong-xiao/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads](https://md.research.elamur.ai/free/en/papers/jeon-2019-analysis-large-scale-multi-tenant/)** *(2019 · 179 citations)* The paper examines how deep learning training behaves on a shared, production GPU cluster at Microsoft. Such clusters differ from classic big-data clusters in two ways: a GPU cannot easily be split among users, and multi-GPU jobs must have all their GPUs allocated at once (gang scheduling). The authors describe… 2. **[Llumnix: Dynamic Scheduling for Large Language Model Serving](https://md.research.elamur.ai/free/en/papers/sun-2024-llumnix-dynamic-scheduling-large-language/)** *(2024 · 119 citations)* Requests to a served LLM vary widely in prompt length, output length and latency needs. Neither their run time nor their KV-cache memory growth is known in advance. Dispatching each request once, with policies inherited from classic DNN serving, therefore causes preemptions, queuing delays, memory fragmentation… ## All works 4 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. [**Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads arXiv:1901.05758**Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/jeon-2019-analysis-large-scale-multi-tenant/) 2. [**Llumnix: Dynamic Scheduling for Large Language Model Serving OSDI 2024**Biao Sun, Ziming Huang, Hanyu Zhao, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/sun-2024-llumnix-dynamic-scheduling-large-language/) 3. **[Balanced Sparsity for Efficient DNN Inference on GPU ↗](https://doi.org/10.1609/aaai.v33i01.33015676) arXiv:1811.00206 · no summary yet**Zhuliang Yao et al.*2018 · 102 citations* 4. **[SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization ↗](https://doi.org/10.1109/cvpr.2019.01147) 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**Shi‐Jie Cao et al.*2019 · 77 citations* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Shivaram Venkataraman](https://md.research.elamur.ai/free/en/authors/shivaram-venkataraman/) - [Wei Lin](https://md.research.elamur.ai/free/en/authors/wei-lin/) - [Xinyi Zhang](https://md.research.elamur.ai/free/en/authors/xinyi-zhang/) - [Yong Li](https://md.research.elamur.ai/free/en/authors/yong-li/) ## 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 - OSDI 2024 ## Cited by Papers of our library cite their works 253 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wencong-xiao/cited-by/). Updated 2 November 2026