collaborators

6 papers

cs.LG2026

MosaicKV: Serving Long-Context LLM with Dynamic Two-D KV Cache Compression

Sheng Qiang, Ruiwei Chen, Yinpeng Wu +5

Long-context LLM services now sustain prompts with hundreds of thousands to millions of tokens, making the key-value (KV) cache a first-order serving cost. Because the cache grows…

cs.CR2026

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation

Yinpeng Wu, Yitong Chen, Lixiang Wang +3

Device-side Large Language Models (LLMs) have grown explosively, offering stronger privacy and higher availability than their cloud-side counterparts. During LLM inference, both th…

cs.CR2026

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation

Yinpeng Wu, Yitong Chen, Lixiang Wang +3

Device-side Large Language Models (LLMs) have witnessed explosive growth, offering higher privacy and availability compared to cloud-side LLMs. During LLM inference, both model wei…

cs.CR2025

TZ-LLM: Protecting On-Device Large Language Models with Arm TrustZone

Xunjie Wang, Jiacheng Shi, Zihan Zhao +3

Large Language Models (LLMs) deployed on mobile devices offer benefits like user privacy and reduced network latency, but introduce a significant security risk: the leakage of prop…

cs.AI2025

AutoEval: A Practical Framework for Autonomous Evaluation of Mobile Agents

Jiahui Sun, Zhichao Hua, Yubin Xia

Comprehensive evaluation of mobile agents can significantly advance their development and real-world applicability. However, existing benchmarks lack practicality and scalability d…

cs.MA2025

MobiAgent: A Systematic Framework for Customizable Mobile Agents

Cheng Zhang, Erhu Feng, Xi Zhao +7

With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile agents have emerged as a key development direction for intelligent mobile systems. However, existing a…