Portrait of Wenxuan Xu
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Wenxuan Xu 许文轩

AI Performance Engineer, Elastix AI
Last updated October 15, 2026

I am Wenxuan Xu, an AI Performance Engineer at Elastix AI. I work on LLM inference performance: serving benchmarks, profiling, KV cache behavior, and the tooling that tells us whether a change made inference faster.

I've made some small contributions to SGLang and GuideLLM (vLLM project). I also wrote LiteInfer, a toy inference engine, for practice.

I received my M.S. in Computer Science from Dartmouth College in 2026 and my B.S. from the University of Liverpool / Xi'an Jiaotong-Liverpool University in 2024.

Fun fact: before infra, I did HCI, VR, and LLM-for-health research with Andrew Campbell, Hai-Ning Liang, Wolfgang Stuerzlinger, and Yuntao Wang, and published at ACL, IEEE VR, and ISMAR.

Education
M.S. in Computer Science, Dartmouth College 2024 – 2026
B.S. in Information and Computing Science, University of Liverpool / Xi'an Jiaotong-Liverpool University 2020 – 2024 First Class Honours
Industry Experience
AI Performance Engineer, Elastix AI Jul 2026 - Present I optimize LLM serving on FPGA-based hardware, including MoE, speculative decoding, and KV caching for hybrid models, and build the benchmark CI that measures it.
News
2026 Oct 14
I will attend the SGLang Summit on November 12, 2026. Happy to chat about LLM inference and serving performance!
2026 Sep 30
New blog post: Hybrid KV Cache, Illustrated, on prefix caching for hybrid models in vLLM, SGLang and Marconi (in Chinese).
2026 Jun 08
I will join Elastix AI as an AI Performance Engineer in July 2026. Excited to enter industry and build real AI systems!
2026 Apr 24
Our LENS paper has been accepted to ACL Main! Huge thanks to all collaborators. See you in San Diego!
2025 Dec 28
My first-author paper LENS has been released on arXiv! Check it out!
2025 May 01
I'm now starting to work as a Research Assistant at HealthX Lab, Dartmouth College with Andrew Campbell
2025 Jan 21
My two first-author papers have been accepted by IEEE VR 2025! Looking forward to seeing you in France!
2024 Jul 27
My first paper collaborated with Xuning Hu was accepted by ISMAR 2024. Super excited!
Open Source Contributions
Bug fixes, docs, and community work.
Per-request and prefix-cache metrics in benchmark reports.
A toy C++/CUDA inference engine, written for practice.
Selected Publications (see full on my Google Scholar)
Which Tokens Should SFT Actually Learn? A Token-Trimming Perspective on Mathematical Reasoning

Which Tokens Should SFT Actually Learn? A Token-Trimming Perspective on Mathematical Reasoning

Yaning Jia, Chunhui Zhang, Wenxuan Xu, Xingjian Diao, Xiaoyuan Wang, Soroush Vosoughi
Conference on Empirical Methods in Natural Language Processing (EMNLP) (2026)
Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks

Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks

Yaning Jia, Shenyang Deng, Yaoqing Yang, Chiyu Ma, Wenxuan Xu, Soroush Vosoughi
ACM International Conference on Information and Knowledge Management (CIKM) (2026)
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models

LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models

Wenxuan Xu, Arvind Pillai, Subigya Nepal, Amanda C Collins, Daniel M Mackin, Michael V Heinz, Tess Z Griffin, Nicholas C Jacobson, Andrew Campbell
Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference (2026)
Predicting Ray Pointer Landing Poses in VR Using Multimodal LSTM-Based Neural Networks

Predicting Ray Pointer Landing Poses in VR Using Multimodal LSTM-Based Neural Networks

IEEE Conference on Virtual Reality and 3D User Interfaces (2025)
Optimizing Moving Target Selection in VR by Integrating Proximity-Based Feedback Types and Modalities

Optimizing Moving Target Selection in VR by Integrating Proximity-Based Feedback Types and Modalities

Xuning Hu*, Wenxuan Xu*, Yushi Wei, Zhang Hao, Jin Huang, Hai-Ning Liang (* equal contribution)
IEEE Conference on Virtual Reality and 3D User Interfaces (2025)
Exploring the Effects of Spatial Constraints and Curvature for 3D Piloting in Virtual Environments

Exploring the Effects of Spatial Constraints and Curvature for 3D Piloting in Virtual Environments

Xuning Hu, Xinan Yan, Yushi Wei, Wenxuan Xu, Yue Li, Yue Liu, Hai-Ning Liang
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2024)
Services
Teaching
Teaching Assistant, COSC 74: Machine Learning and Statistical Data Analysis (Dartmouth College)
Reviewing
CHI 2025 Late-Breaking Work/ CHI PLAY 2025 Full Papers/ ISMAR 2025 Papers/ SUI 2025 Papers/ SUI 2026 Papers
My cat My dog View my SGLang PRs