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Chaojie Zhang

Chaojie Zhang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Esha Choukse, Íñigo Goiri.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 18 · 140 works · 1,253 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 483 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #3844

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Anhui University of TechnologyMa'anshan City · China2021–2026 · 24 paperscurrent🎓Dalian University of TechnologyDalian · China2022–2026 · 3 paperscurrent🎓Nanjing UniversityNanjing · China2026 · 1 papercurrent🎓PLA Information Engineering UniversityZhengzhou · China2026 · 1 papercurrent🎓Zhejiang UniversityHangzhou · China2010–2025 · 12 papers🎓Naval University of EngineeringWuhan · China2008–2023 · 10 papers🎓University of Science and Technology BeijingBeijing · China2016–2017 · 8 papers🎓China University of Mining and TechnologyXuzhou · China2008–2025 · 6 papers🎓University of ChicagoChicago · United States2018–2021 · 6 papers🎓Tongji UniversityShanghai · China2009–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 26 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksHardware and Architecture · 2 worksInformation Systems · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Splitwise: Efficient generative LLM inference using phase splitting (2023 · 379 citations)
    Serving generative LLMs at scale is costly and power-hungry, and GPUs are often over-provisioned to meet latency SLOs.
  2. DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency (2024 · 218 citations)
    Serving LLMs on GPUs under tight latency targets uses a lot of energy. Existing power-management schemes were built for conventional datacenter software and miss the specific traits of LLM inference. The authors first profile several open models on an NVIDIA DGX H100 server running vLLM, varying prompt and output…

All works

8 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. Splitwise: Efficient generative LLM inference using phase splittingISCA 2024Pratyush Patel, Esha Choukse, Chaojie Zhang, et al.2023 · 379 citations
  2. DynamoLLM: Designing LLM Inference Clusters for Performance and Energy EfficiencyProceedings - International Symposium on High-Performance Computer Architecture/ProceedingsJovan Stojkovic, Chaojie Zhang, Inigo Goiri, et al.2024 · 218 citations
  3. MR-Transformer: Vision Transformers for Total Knee Replacement Prediction using Magnetic Resonance Imaging ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetChaojie Zhang et al.2024 · 1 citation
  4. Predicting Time-to-Total Knee Replacement: Deep Learning vs Radiomics ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetOzkan Cigdem et al.2025
  5. Denoising AutoEncoder as a Pre-processor for Knee MRI Analysis ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetShengjia Chen et al.2024
  6. MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging ↗arXiv (Cornell University) · no summary yetChaojie Zhang et al.2024
  7. Total Knee Replacement Prediction using Twin Class Distribution Estimation ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetChaojie Zhang et al.2023
  8. Prediction of Total Knee Replacement using Vision Transformers ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetChaojie Zhang et al.2022

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 483 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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