activity
20242026
most citedMake Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask

14 citations · 17 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference

Zhiyao Xu, Aoxue Liu, Zhanjie Ding +3

Sparsely activated Mixture-of-Experts (MoE) models scale capacity via conditional computation, but distributed inference suffers from cross-GPU expert communication and routing-ind…

cs.LG2026

SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts

Qingsong Zou, Zhi Yan, Zhiyao Xu +3

Due to the strong context-awareness capabilities demonstrated by large language models (LLMs), recent research has begun exploring their integration into smart home assistants to h…

cs.AI2025

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes

Zhiyao Xu, Dan Zhao, Qingsong Zou +4

As smart homes become increasingly prevalent, intelligent models are widely used for tasks such as anomaly detection and behavior prediction. These models are typically trained on…

cs.AI2025

Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes

Zhiyao Xu, Dan Zhao, Qingsong Zou +4

In recent years, as smart home systems have become more widespread, security concerns within these environments have become a growing threat. Currently, most smart home security so…

cs.SE2024★ 3 cited

Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping

Jingyu Xiao, Yuxuan Wan, Yintong Huo +6

Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance on the design-to-code task, i.e., generating UI code from UI mock-ups. However, existing benchmark…

cs.IT2024

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network

Yuhao Pan, Xiucheng Wang, Zhiyao Xu +3

Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of…