Xinjie Lin
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
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Bibliography
2026
Enhanced Dynamics of IP Allocation: Fine-Grained IP Geolocation via Temporal-Spatial Correlation.
IEEE Trans. Netw., 2026
Enhancing Item Understanding in Knowledge Graph-Based Recommendation via Large Language Models.
Proceedings of the Database Systems for Advanced Applications, 2026
2025
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models.
CoRR, May, 2025
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation.
CoRR, April, 2025
Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification.
IEEE Trans. Inf. Forensics Secur., 2025
Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review.
Neurocomputing, 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
2024
Comput. Secur., February, 2024
CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification.
Comput. Secur., 2024
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024
2022
Privacy protection of China's top websites: A Multi-layer privacy measurement via network behaviours and privacy policies.
Comput. Secur., 2022
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
2021
Dispatching and Path Planning of Automated Guided Vehicles based on Petri Nets and Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
2020
Li-Function Activated Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality.
Neural Process. Lett., 2020
2018
Design and analysis of two discrete-time ZD algorithms for time-varying nonlinear minimization.
Numer. Algorithms, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A new DTZD algorithm with geometric representation and numerical verification for solving time-varying nonlinear equations.
Proceedings of the 13th International Conference on Natural Computation, 2017