activity
20172026
most citedGenerative AI for Self-Adaptive Systems: State of the Art and Research Roadmap

75 citations · 80 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2026

See What I See: An Attention-Guiding eHMI Approach for Autonomous Vehicles

Jialong Li, Zhenyu Mao, Zhiyao Wang +4

As autonomous vehicles are gradually being deployed in the real world, external Human-Machine Interfaces (eHMIs) are expected to serve as a critical solution for enhancing vehicle-…

cs.LG2026

FAROS: Robust Federated Learning with Adaptive Scaling against Backdoor Attacks

Chenyu Hu, Qiming Hu, Sinan Chen +3

Federated Learning (FL) enables multiple clients to collaboratively train a shared model without exposing local data. However, backdoor attacks pose a significant threat to FL. The…

cs.SE2025★ 75 cited

Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap

Jialong Li, Mingyue Zhang, Nianyu Li +3

Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a feedback loop with four core functionalities: monitoring, analyzing, planning, and execution…

cs.SE2025

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models

Jinyu Cai, Jialong Li, Nianyu Li +3

The rapid iteration cycles of modern live-service games make regression testing indispensable for maintaining quality and stability. However, existing regression testing approaches…

cs.HC2024

User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences

Mingyue Zhang, Jialong Li, Nianyu Li +2

In the realm of autonomous vehicles, dynamic user preferences are critical yet challenging to accommodate. Existing methods often misrepresent these preferences, either by overlook…

cs.SE2024★ 1 cited

Exploring the Potential of Large Language Models in Self-adaptive Systems

Jialong Li, Mingyue Zhang, Nianyu Li +3

Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning, can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the pote…

cs.SE2021

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems

Mingyue Zhang, Nianyu Li, Sridhar Adepu +2

The increasing prevalence of security attacks on software-intensive systems calls for new, effective methods for detecting and responding to these attacks. As one promising approac…

cs.SE2020★ 3 cited

Early Validation of Cyber-Physical Space Systems via Multi-Concerns Integration

Nianyu Li, Christos Tsigkanos, Zhi Jin +2

Cyber-physical space systems are engineered systems operating within physical space with design requirements that depend on space, e.g., regarding location or movement behavior. Th…

cs.SE2017★ 1 cited

Verifying Stochastic Behaviors of Decentralized Self-Adaptive Systems: A Formal Modeling and Simulation Based Approach

Nianyu Li, Di Bai, Zhuoqun Yang +1

Self-adaptive software is considered as the most advanced approach and its development attracts a lot of attention. Decentralization is an effective way to design and manage the co…