The noise and spur delusion in fractional-N frequency synthesizer design. - Michael Peter Kennedy; Hongjia Mo; Zhida Li; Guosheng Hu; Paolo Scognamiglio; Ettore Napoli (ISCAS, 2015)

Global resource capacity algorithm with path splitting for virtual network embedding. - Soroush Haeri; Qingye Ding; Zhida Li; Ljiljana Trajkovic (ISCAS, 2016)

Detecting BGP anomalies using machine learning techniques. - Qingye Ding; Zhida Li; Prerna Batta; Ljiljana Trajkovic (SMC, 2016)

Comparison of Virtualization Algorithms and Topologies for Data Center Networks. - Hanene Ben Yedder; Qingye Ding; Umme Zakia; Zhida Li; Soroush Haeri; Ljiljana Trajkovic (ICCCN, 2017)

Evaluation of Support Vector Machine Kernels for Detecting Network Anomalies. - Prerna Batta; Maninder Singh; Zhida Li; Qingye Ding; Ljiljana Trajkovic (ISCAS, 2018)

Comparison of Machine Learning Algorithms for Detection of Network Intrusions. - Zhida Li; Prerna Batta; Ljiljana Trajkovic (SMC, 2018)

Machine Learning Techniques for Classifying Network Anomalies and Intrusions. - Zhida Li; Ana Laura Gonzalez Rios; Guangyu Xu; Ljiljana Trajkovic (ISCAS, 2019)

Detection of Denial of Service Attacks in Communication Networks. - Ana Laura Gonzalez Rios; Zhida Li; Kamila Bekshentayeva; Ljiljana Trajkovic (ISCAS, 2020)

Detecting Internet Worms, Ransomware, and Blackouts Using Recurrent Neural Networks. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (SMC, 2020)

Classifying Denial of Service Attacks Using Fast Machine Learning Algorithms. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (SMC, 2021)

Machine Learning for Detecting Anomalies and Intrusions in Communication Networks. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (IEEE J. Sel. Areas Commun., 2021)

Border Gateway Protocol (BGP) routing records from Route Views. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (IEEE DataPort, 2021)

Border Gateway Protocol (BGP) routing records from Reseaux IP Europeens (RIPE) and BCNET. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (IEEE DataPort, 2021)

Deep Echo State Networks for Detecting Internet Worm and Ransomware Attacks. - Tarun Sharma; Khushi Patni; Zhida Li; Ljiljana Trajkovic (ISCAS, 2023)

Enhancing Cyber Defense: Using Machine Learning Algorithms for Detection of Network Anomalies. - Zhida Li; Ljiljana Trajkovic (SMC, 2023)

Machine Learning for Detecting the WestRock Ransomware Attack Using BGP Routing Records. - Zhida Li; Ana Laura Gonzalez Rios; Ljiljana Trajkovic (IEEE Commun. Mag., 2023)

TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting. - Liyan Xiong; Zhida Li; Xiaohui Huang 003; Yijuan Zeng; Peng Huang (Multim. Syst., 2023)

Enhancing Cybersecurity Through Fast Machine Learning Algorithms. - Zhida Li; Wencheng Han; Yunlong Shao; Tokunbo Makanju (CCECE, 2024)

Lightweight Machine Learning-Based IDS for IoT Environments. - Zakaria Alomari; Zhida Li; Adetokunbo Makanju (CSNet, 2024)

Network Intrusion Detection with CNNs: A Comparative Study of Deep Learning and Machine Learning Models. - Duc Minh Pham; Yunlong Shao; Zhida Li; Adetokunbo Makanju; Zakaria Alomari (ICCVIT, 2024)

A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas. - Yonggang Wang; Zhida Li; Nannan Zhang (Sensors, 2024)

MLANet: multi-level attention network with multi-scale feature fusion for crowd counting. - Liyan Xiong; Yijuan Zeng; Xiaohui Huang 003; Zhida Li; Peng Huang (Clust. Comput., 2024)

CSFNet: A novel counting network based on context features and multi-scale information. - Liyan Xiong; Zhida Li; Xiaohui Huang 003; Heng Wang (Multim. Syst., 2025)