3 citations · 3 across the 6 of their papers we have counts for
6 papers
GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
Zongshun Zhang, Yao Liu, Qiao Liu +5
Video-based lie detection aims to identify deceptive behaviors from visual cues. Despite recent progress, its core challenge lies in learning sparse yet discriminative representati…
Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
Rohan Kumar, Jason Li, Zongshun Zhang +3
As the modern microservice architecture for cloud applications grows in popularity, cloud services are becoming increasingly complex and more vulnerable to misconfiguration and sof…
SERFLOW: A Cross-Service Cost Optimization Framework for SLO-Aware Dynamic ML Inference
Zongshun Zhang, Ibrahim Matta
Dynamic offloading of Machine Learning (ML) model partitions across different resource orchestration services, such as Function-as-a-Service (FaaS) and Infrastructure-as-a-Service…
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
Zongshun Zhang, Ibrahim Matta
Edge intelligent applications like VR/AR and language model based chatbots have become widespread with the rapid expansion of IoT and mobile devices. However, constrained edge devi…
Privacy and Efficiency of Communications in Federated Split Learning
Zongshun Zhang, Andrea Pinto, Valeria Turina +2
Everyday, large amounts of sensitive data is distributed across mobile phones, wearable devices, and other sensors. Traditionally, these enormous datasets have been processed on a…
LIBRA: An Economical Hybrid Approach for Cloud Applications with Strict SLAs
Ali Raza, Zongshun Zhang, Nabeel Akhtar +2
Function-as-a-Service (FaaS) has recently emerged to reduce the deployment cost of running cloud applications compared to Infrastructure-as-a-Service (IaaS). FaaS follows a serverl…