Xin Lou

Orcid: 0000-0001-8910-5666

Affiliations:
  • Singapore Institute of Technology, Singapore


According to our database1, Xin Lou authored at least 38 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing.
CoRR, May, 2026

TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation.
CoRR, May, 2026

Resilient Path Tracking of Autonomous Driving under Few-shot Action Space Attacks.
ACM Trans. Cyber Phys. Syst., April, 2026

Invisible Adversarial Stripes on Traffic Sign: Threat and Defense for Autonomous Vehicles.
ACM Trans. Sens. Networks, January, 2026

LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Job Shop Scheduling in Smart Manufacturing.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

Drift-Aware Online Anomaly Detection in Smart Buildings via Temporal Variational Autoencoder Gradient Profile.
Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

2025
LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Job Scheduling in Smart Manufacturing.
CoRR, December, 2025

GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

NormFusion: Real-Time Test-Time Adaptation for LiDAR Segmentation Under Corruption.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Adversarially Trained Dynamic Ensemble: A Moving Target Defense Strategy for Robust Semantic Segmentation in Autonomous Vehicles.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024
Water Pump Dataset for a Water Supply System.
Dataset, September, 2024

Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids.
CoRR, 2024

CRaaS: Cloud-based Smart Grid Cyber Range for Scalable Cybersecurity Experiments and Training.
Proceedings of the IEEE International Conference on Communications, 2024

Optimizing Operation of Automated Waste Collection Systems in Smart Communities.
Proceedings of the IEEE International Conference on Smart City, 2024

Demo: Invisible Adversarial Stripes against Traffic Sign Recognition in Autonomous Driving.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Water Pump Operation Optimization under Dynamic Market and Consumer Behaviour.
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Water Supply System Dataset: Non-Invasive Sensor Data for Smart Water Pumps.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023
Effects of Learning-Based Action-Space Attacks on Autonomous Driving Agents.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022
Detecting Cyber Attacks in Smart Grids with Massive Unlabeled Sensing Data.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems.
IEEE Trans. Smart Grid, 2021

On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections.
ACM Trans. Internet Things, 2021

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT.
Trans. Assoc. Comput. Linguistics, 2021

A Stealthier False Data Injection Attack against the Power Grid.
Proceedings of the IEEE International Conference on Communications, 2021

2020
Cost and Pricing of Differential Privacy in Demand Reporting for Smart Grids.
IEEE Trans. Netw. Sci. Eng., 2020

Assessing and Mitigating Impact of Time Delay Attack: Case Studies for Power Grid Controls.
IEEE J. Sel. Areas Commun., 2020

Identifying Failing Point Machines from Sensor-Free Train System Logs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
One-Hop Out-of-Band Control Planes for Multi-Hop Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2019

On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects.
CoRR, 2019

Learning-Based Time Delay Attack Characterization for Cyber-Physical Systems.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

On lightweight privacy-preserving collaborative learning for internet-of-things objects.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Assessing and mitigating impact of time delay attack: a case study for power grid frequency control.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Differentially Private Collaborative Learning for the IoT Edge.
Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

2018
One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Cost of differential privacy in demand reporting for smart grid economic dispatch.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2013
Profit-Optimal and Stability-Aware Load Curtailment in Smart Grids.
IEEE Trans. Smart Grid, 2013


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