collaborators

7 papers

cs.AI2026

Homebot: A Personal AI Agent for Conversational Home Assistance and Automation

Shengyuan Ye, Yixin Zhang, Han Liang +3

\texttt{Homebot} is a locally deployable AI agent for conversational household assistance and automation. It accepts voice and instant-messaging requests through a shared runtime t…

cs.AI2026

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild

Bufang Yang, Lilin Xu, Liekang Zeng +8

Recent studies have begun to explore proactive large language model (LLM) agents that provide unobtrusive assistance by automatically leveraging contextual information, such as in…

cs.AI2026

Reasoning with Autoregressive-Diffusion Collaborative Thoughts

Mu Yuan, Liekang Zeng, Guoliang Xing +2

Autoregressive and diffusion models represent two complementary generative paradigms. Autoregressive models excel at sequential planning and constraint composition, yet struggle wi…

cs.DC2025

PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile Devices

Kaiwei Liu, Liekang Zeng, Lilin Xu +2

Retrieval-augmented generation (RAG) has been extensively used as a de facto paradigm in various large language model (LLM)-driven applications on mobile devices, such as mobile as…

cs.AI2025

ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions

Bufang Yang, Lilin Xu, Liekang Zeng +7

Recent advances in Large Language Models (LLMs) have propelled intelligent agents from reactive responses to proactive support. While promising, existing proactive agents either re…

cs.DC2025

Synera: Synergistic LLM Serving across Device and Cloud at Scale

Genglin Wang, Liekang Zeng, Bufang Yang +6

Large Language Models (LLMs) are becoming key components in various mobile operating systems, driving smart applications like interactive chatbots and personal assistants. While br…