--- title: "Baris Kasikci — author profile and papers — Elamur Research" description: "Baris Kasikci, University of Washington: 3 papers on Elamur Research (2023–2025), h-index 23 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/baris-kasikci/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/baris-kasikci/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Baris Kasikci # Baris Kasikci Baris Kasikci has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/), [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/), [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5050964144) · [ORCID](https://orcid.org/0000-0001-6122-8998) · [Wikidata](https://www.wikidata.org/wiki/Q130889621) · [**h-index 23**](https://openalex.org/authors/A5050964144) · [122 works](https://openalex.org/works?filter=author.id:A5050964144) · [2,205 citations](https://openalex.org/works?filter=author.id:A5050964144&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/baris-kasikci/#papers) · [🔗 Cited 527 times in our library](https://md.research.elamur.ai/free/en/authors/baris-kasikci/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4091](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4091) 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=Baris+Kasikci) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Baris+Kasikci) · [dblp](https://dblp.org/search?q=Baris+Kasikci) · [ACL Anthology](https://aclanthology.org/search/?q=Baris+Kasikci) ## Affiliations [🎓**University of Washington** Seattle · United States 2023–2026 · 34 papersEmployment since 2023 · Associate Professor, Paul G. Allen School of Computer Science & Engineering*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Michigan** Ann Arbor · United States 2017–2023 · 47 papersEducation 2017–2023 · Electrical Engineering and Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2012–2015 · 10 papers](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🏢**Google** Mountain View · United States 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/baris-kasikci/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/baris-kasikci/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/baris-kasikci/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/tang-2024-quest-query-aware-sparsity-efficient/)** *(2024 · 203 citations)* Generating text with very long contexts is slow because every new token requires reading the full KV cache from memory. 2. **[FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving](https://md.research.elamur.ai/free/en/papers/ye-2025-flashinfer-efficient-customizable-attention-engine/)** *(2025 · 177 citations)* FlashInfer is an attention engine for LLM inference serving. It targets two problems: serving workloads keep changing, and attention variants and GPU architectures differ widely. Today each serving system ships its own narrow attention kernels, which is costly to maintain. FlashInfer replaces them with one… 3. **[Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/)** *(2023 · 156 citations)* LLM serving relies on batching to keep GPUs busy, and quantization can further reduce memory use and compute cost. ## All works 7 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. [**Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference arXiv:2406.10774**Jiaming Tang, Yilong Zhao, Kan Zhu, et al.*2024 · 203 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-quest-query-aware-sparsity-efficient/) 2. [**FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving MLSys 2025**Zihao Ye, Lequn Chen, Ruihang Lai, et al.*2025 · 177 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-flashinfer-efficient-customizable-attention-engine/) 3. [**Atom: Low-bit Quantization for Efficient and Accurate LLM Serving MLSys 2024**Yilong Zhao, Chien-Yu Lin, Kan Zhu, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/) 4. **[BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching ↗](https://arxiv.org/abs/2411.16102) arXiv (Cornell University) · no summary yet**Yilong Zhao et al.*2024 · 16 citations* 5. **[BlendServe: Optimizing Offline Inference with Resource-Aware Batching ↗](https://doi.org/10.1145/3779212.3790133) ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yet**Yilong Zhao et al.*2026 · 2 citations* 6. **[Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding ↗](https://arxiv.org/abs/2512.01278) arXiv:2512.01278 · no summary yet**Yilong Zhao et al.*2025 · 2 citations* 7. **[M*: A Modular, Extensible, Serving System for Multimodal Models ↗](https://arxiv.org/abs/2606.12688) arXiv (Cornell University) · no summary yet**Atindra Jha et al.*2026* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/) ×2 - [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/) ×2 - [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/) ×2 - [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/) ×2 - [Yilong Zhao](https://md.research.elamur.ai/free/en/authors/yilong-zhao/) ×2 - [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/) ×2 - [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/) - [Jiaming Tang](https://md.research.elamur.ai/free/en/authors/jiaming-tang/) - [Luis Ceze](https://md.research.elamur.ai/free/en/authors/luis-ceze/) - [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - MLSys 2025 ×2 - ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) ## Cited by Papers of our library cite their works 527 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/baris-kasikci/cited-by/). Updated 2 November 2026