Kexin Chu

According to our database, Kexin Chu authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems.

Kexin Chu

CoRR, April, 2026

TrustWeave: Integrity Measurement and Attestation For Multi-Cloud LLMs.

Jianchang Su, Wenhui Zhang, Yifan Zhang, Kexin Chu, Hao Guo, Youyou Lu, Wei Zhang

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Dynamic Expert Quantization for Scalable Mixture-of-Experts Inference.

Kexin Chu, Dawei Xiang, Zixu Shen, Yiwei Yang, Zecheng Liu, Wei Zhang

CoRR, November, 2025

ExpertFlow: Adaptive Expert Scheduling and Memory Coordination for Efficient MoE Inference.

Zixu Shen, Kexin Chu, Yifan Zhang, Dawei Xiang, Runxin Wu, Wei Zhang

CoRR, October, 2025

CXLAimPod: CXL Memory is all you need in AI era.

Yiwei Yang, Yusheng Zheng, Yiqi Chen, Zheng Liang, Kexin Chu, Zhe Zhou, Andi Quinn, Wei Zhang

CoRR, August, 2025

Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference.

Kexin Chu, Zecheng Lin, Dawei Xiang, Zixu Shen, Jianchang Su, Cheng Chu, Yiwei Yang, Wenhui Zhang, Wenfei Wu, Wei Zhang

CoRR, August, 2025

MCaM : Efficient LLM Inference with Multi-tier KV Cache Management.

Kexin Chu, Zixu Shen, Sheng-Ru Cheng, Dawei Xiang, Ziqin Liu, Wei Zhang

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization.

Dawei Xiang, Wenyan Xu, Kexin Chu, Tianqi Ding, Zixu Shen, Yiming Zeng, Jianchang Su, Wei Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

eInfer: Unlocking Fine-Grained Tracing for Distributed LLM Inference with eBPF.

Kexin Chu, Jianchang Su, Yifan Zhang, Chenxingyu Zhao, Yiwei Yang, Yusheng Zheng, Shengkai Lin, Shizhen Zhao, Wei Zhang

Proceedings of the 3rd Workshop on eBPF and Kernel Extensions, 2025

2024

A hybrid similarity measure-based clustering approach for mixed attribute data.

Kexin Chu, Min Zhang, Yaling Xun, Jifu Zhang

Int. J. Mach. Learn. Cybern., April, 2024

2020

CNT-Cache: an Energy-Efficient Carbon Nanotube Cache with Adaptive Encoding.

Dawen Xu, Kexin Chu, Cheng Liu, Ying Wang, Lei Zhang, Huawei Li

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Chunlai Feng, Hengwei Chen, Xianqin Yuan, Mengqiu Sun, Kexin Chu, Hanqing Liu, Mengjie Rui

J. Chem. Inf. Model., 2019