activity
20182026
most citedMitigating Sybil Attacks on Differential Privacy based Federated Learning

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

An LLM-driven Scenario Generation Pipeline Using an Extended Scenic DSL for Autonomous Driving Safety Validation

Fida Khandaker Safa, Yupeng Jiang, Xi Zheng

Real-world crash reports, which combine textual summaries and sketches, are valuable for scenario-based testing of autonomous driving systems (ADS). However, current methods cannot…

cs.SE2025

Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques

Yupeng Jiang, Shuaiyi Sun, Xi Zheng

Regression testing plays a critical role in maintaining software reliability, particularly for ROS-based autonomous systems (ROSAS), which frequently undergo continuous integration…

cs.SE2025

A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline

Yupeng Jiang, Yao Deng, Sebastian Schroder +7

Autonomous drones are rapidly reshaping industries ranging from aerial delivery and infrastructure inspection to environmental monitoring and disaster response. Ensuring the safety…

cs.CR2020★ 6 cited

Mitigating Sybil Attacks on Differential Privacy based Federated Learning

Yupeng Jiang, Yong Li, Yipeng Zhou +1

In federated learning, machine learning and deep learning models are trained globally on distributed devices. The state-of-the-art privacy-preserving technique in the context of fe…

cs.HC2018

Investigating Key User Experiencing Engineering Aspects in Software-as-a-Service Service Delivery Model

Lakshmi Sirisha Revadi, Xi Zheng, Yupeng Jiang

Software as a Service (SaaS) is well established as an effective model for the development, deployment and customization of software. As it continues to gain more momentum in the I…