Xin Liu

Orcid: 0000-0003-3051-4793

Affiliations:
  • Army Engineering University of PLA, College of Command and Control Engineering, Nanjing, China


According to our database1, Xin Liu authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Practical clean-label backdoor attack against static malware detection.
Comput. Secur., 2025

2024
Location and time embedded feature representation for spatiotemporal traffic prediction.
Expert Syst. Appl., 2024

Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Distributed One-Pass Online AUC Maximization.
Discret. Appl. Math., December, 2023

SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction.
ISPRS Int. J. Geo Inf., August, 2023

PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Provable convergence of Nesterov's accelerated gradient method for over-parameterized neural networks.
Knowl. Based Syst., 2022

A convergence analysis of Nesterov's accelerated gradient method in training deep linear neural networks.
Inf. Sci., 2022

A high-resolution dynamical view on momentum methods for over-parameterized neural networks.
CoRR, 2022

FedSSO: A Federated Server-Side Second-Order Optimization Algorithm.
CoRR, 2022

2021
Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks.
CoRR, 2021

2020
Making Adversarial Examples More Transferable and Indistinguishable.
CoRR, 2020

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction.
IEEE Access, 2019


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