A new DTZD algorithm with geometric representation and numerical verification for solving time-varying nonlinear equations. - Dongsheng Guo 001; Zhijing Huang; Xinjie Lin; Sibo Sun (ICNC-FSKD, 2017)

Three-step DTZNN algorithm for time-varying linear matrix inequality solving. - Dongsheng Guo 001; Aifen Li; Xinjie Lin; Feng Xu; Zhaozhu Su (IJCNN, 2017)

Design and analysis of two discrete-time ZD algorithms for time-varying nonlinear minimization. - Dongsheng Guo 001; Xinjie Lin; Zhaozhu Su; Sibo Sun; Zhijing Huang (Numer. Algorithms, 2018)

Li-Function Activated Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality. - Dongsheng Guo 001; Xinjie Lin (Neural Process. Lett., 2020)

Colored Knowledge Petri Nets and Logical Inference. - Kaicheng Tan; Jiliang Luo; Hongbin Zhang; Xinjie Lin; Enhui Zheng (ICNSC, 2021)

Dispatching and Path Planning of Automated Guided Vehicles based on Petri Nets and Deep Reinforcement Learning. - Hongbin Zhang; Jiliang Luo; Xinjie Lin; Kaicheng Tan; Chunrong Pan (ICNSC, 2021)

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. - Xinjie Lin; Gang Xiong 001; Gaopeng Gou; Zhen Li 011; Junzheng Shi; Jing Yu 007 (WWW, 2022)

Privacy protection of China's top websites: A Multi-layer privacy measurement via network behaviours and privacy policies. - Xinjie Lin; Han Liu; Zhen Li 011; Gang Xiong 001; Gaopeng Gou (Comput. Secur., 2022)

Anti-Packet-Loss Encrypted Traffic Classification via Masked Autoencoder. - Chen Yang; Li Guo 001; Zheyuan Gu; Gaopeng Gou; Xinjie Lin; Gang Xiong 001; Yangyang Guan (WASA (1), 2024)

CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification. - Xinjie Lin; Longtao He; Gaopeng Gou; Jing Yu 007; Zhong Guan; Xiang Li; Juncheng Guo; Gang Xiong 001 (Comput. Secur., 2024)

Traffic spills the beans: A robust video identification attack against YouTube. - Xiyuan Zhang; Gang Xiong 001; Zhen Li 011; Chen Yang; Xinjie Lin; Gaopeng Gou; Binxing Fang (Comput. Secur., 2024)

Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review. - Wenqi Dong; Jing Yu 007; Xinjie Lin; Gaopeng Gou; Gang Xiong 001 (Neurocomputing, 2025)

Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification. - Xinjie Lin; Gang Xiong 001; Gaopeng Gou; Wenqi Dong; Jing Yu 007; Zhen Li 011; Wei Xia (IEEE Trans. Inf. Forensics Secur., 2025)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation. - Tianyu Cui; Xinjie Lin; Sijia Li; Miao Chen; Qilei Yin; Qi Li; Ke Xu 002 (CoRR, 2025)

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models. - Yangguang Shao; Xinjie Lin; Haozheng Luo; Chengshang Hou; Gang Xiong 001; Jiahao Yu; Junzheng Shi (CoRR, 2025)

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs. - Meng-Hao Guo; Xuanyu Chu; Qianrui Yang; Zhe-Han Mo; Yiqing Shen 005; Pei-lin Li; Xinjie Lin; Jinnian Zhang; Xin-Sheng Chen; Yi Zhang 099; Kiyohiro Nakayama; Zhengyang Geng; et al. (CoRR, 2025)