14 citations · 23 across the 10 of their papers we have counts for
10 papers
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…
State-resolved multimodal contributions to stratospheric polar vortex predictability
Shuo Yang, Dan Zhao, Tingting Xue +3
The dynamical basis of stratospheric polar vortex (SPV) predictability remains unclear, particularly the relative roles of persistence, structural variability, and cross-level coup…
Intelligence Delivery Network: Toward an Internet Architecture for the AI Age
Hanling Wang, Qing Li, Dan Zhao +7
The rapid emergence of AI-powered applications is reshaping the role of the Internet. Users increasingly rely on the network to obtain intelligence services derived from large foun…
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…
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
Fucheng Guo, Zeyu Luan, Qing Li +2
Federated Learning (FL) has emerged as an essential framework for distributed machine learning, especially with its potential for privacy-preserving data processing. However, exist…
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…
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
Jingyu Xiao, Zhiyao Xu, Qingsong Zou +11
Smart homes, powered by the Internet of Things, offer great convenience but also pose security concerns due to abnormal behaviors, such as improper operations of users and potentia…
DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
Ruoyu Li, Qing Li, Tao Lin +6
Device fingerprinting can be used by Internet Service Providers (ISPs) to identify vulnerable IoT devices for early prevention of threats. However, due to the wide deployment of mi…
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
Ruoyu Li, Qing Li, Yu Zhang +3
Anomaly-based network intrusion detection systems (A-NIDS) use unsupervised models to detect unforeseen attacks. However, existing A-NIDS solutions suffer from low throughput, lack…
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
Zhengxin Zhang, Dan Zhao, Xupeng Miao +4
Finetuning large language models (LLMs) has been empirically effective on a variety of downstream tasks. Existing approaches to finetuning an LLM either focus on parameter-efficien…