A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation. - Yong-Feng Ge; Jinli Cao; Hua Wang 002; Jiao Yin 003; Wei-Jie Yu 001; Zhi-Hui Zhan; Jun Zhang 003 (GECCO, 2019)

An Integrated MCI Detection Framework Based on Spectral-temporal Analysis. - Jiao Yin 003; Jinli Cao; Siuly Siuly; Hua Wang 002 (Int. J. Autom. Comput., 2019)

Data-Driven Hierarchical Neural Network Modeling for High-Pressure Feedwater Heater Group. - Jiao Yin 003; Mingshan You; Jinli Cao; Hua Wang 002; MingJian Tang 001; Yong-Feng Ge (ADC, 2020)

Adaptive Online Learning for Vulnerability Exploitation Time Prediction. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Hua Wang 002; Mingshan You; Yongzheng Lin (WISE (2), 2020)

Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Hua Wang 002 (Knowl. Based Syst., 2020)

A Minority Class Boosted Framework for Adaptive Access Control Decision-Making. - Mingshan You; Jiao Yin 003; Hua Wang 002; Jinli Cao; Yuan Miao 001 (WISE (1), 2021)

Modeling of Extreme Vulnerability Disclosure in Smart City Industrial Environments. - MingJian Tang 001; Jiao Yin 003; Mamoun Alazab; Jinli Cao; Yuxiu Luo (IEEE Trans. Ind. Informatics, 2021)

Graph Intelligence Enhanced Bi-Channel Insider Threat Detection. - Wei Hong; Jiao Yin 003; Mingshan You; Hua Wang 002; Jinli Cao; Jianxin Li 001; Ming Liu 028 (NSS, 2022)

A real-time dynamic concept adaptive learning algorithm for exploitability prediction. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Hua Wang 002; Mingshan You (Neurocomputing, 2022)

Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Hua Wang 002; Mingshan You; Yongzheng Lin (World Wide Web, 2022)

Cybersecurity Applications in Software: Data-Driven Software Vulnerability Assessment and Management. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Mingshan You; Hua Wang 002 (Emerging Trends in Cybersecurity Applications, 2023)

Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis. - Marwah Alharbi; Jiao Yin 003; Hua Wang 002 (ADC, 2023)

A Study on Historical Behaviour Enabled Insider Threat Prediction. - Fan Xiao; Wei Hong; Jiao Yin 003; Hua Wang 002; Jinli Cao; Yanchun Zhang (APWeb/WAIM (3), 2023)

Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance. - Yanjun Liu; Daizhong Luo; Kate N. Wang 001; Jiao Yin 003 (HIS, 2023)

Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results. - Puti Xu; Wei Hong; Jiao Yin 003; Kate N. Wang 001; Yanchun Zhang (HIS, 2023)

Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics. - Xingping Zhang; Guijuan Zhang; Xingting Qiu; Jiao Yin 003; Wenjun Tan; Xiaoxia Yin; Hong Yang 003; Kun Wang; Yanchun Zhang (HIS, 2023)

Multi-step reinforcement learning-based offloading for vehicle edge computing. - Shaodong Han; Yingqun Chen; Guihong Chen; Jiao Yin 003; Hua Wang 002; Jinli Cao (ICACI, 2023)

Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks. - Phavithra Manoharan; Wei Hong; Jiao Yin 003; Yanchun Zhang; Wenjie Ye; Jiangang Ma (WISE, 2023)

Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicular Edge Computing. - Maojie Wang; Shaodong Han; Guihong Chen; Jiao Yin 003; Jinli Cao (WISE, 2023)

Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction. - Jiao Yin 003; Guihong Chen; Wei Hong; Hua Wang 002; Jinli Cao; Yuan Miao 001 (WISE, 2023)

A knowledge graph empowered online learning framework for access control decision-making. - Mingshan You; Jiao Yin 003; Hua Wang 002; Jinli Cao; Kate N. Wang 001; Yuan Miao 001; Elisa Bertino (World Wide Web (WWW), 2023)

Knowledge-Driven Cybersecurity Intelligence: Software Vulnerability Coexploitation Behavior Discovery. - Jiao Yin 003; MingJian Tang 001; Jinli Cao; Mingshan You; Hua Wang 002; Mamoun Alazab (IEEE Trans. Ind. Informatics, 2023)

A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services. - Yingqun Chen; Shaodong Han; Guihong Chen; Jiao Yin 003; Kate Nana Wang; Jinli Cao (Health Inf. Sci. Syst., 2023)

Comparative Study of Machine Learning Algorithms for IoT Cyber Threat Detection in Healthcare Information Systems. - Tien Ngo; Jiao Yin 003; Yong-Feng Ge; Changjun Zhou; Jinli Cao (HIS, 2024)

The Impact of COVID-19 on Global GMAT Test-Taking Patterns: A Statistical Analysis. - Puti Xu; Jiao Yin 003; Jinli Cao; Yanchun Zhang (HIS, 2024)

Insider Threat Detection: A Review. - Phavithra Manoharan; Jiao Yin 003; Hua Wang 002; Yanchun Zhang; Wenjie Ye (NaNA, 2024)

From Data to Insights: Constructing and Evaluating a Hospitality Dataset for Quadruple Aspect-Based Sentiment Analysis. - Marwah Alharbi; Jiao Yin 003; Yuan Miao 001; Jinli Cao (WISE (1), 2024)

Trustworthy semi-supervised anomaly detection for online-to-offline logistics business in merchant identification. - Yong Li; Shuhang Wang; Shijie Xu; Jiao Yin 003 (CAAI Trans. Intell. Technol., 2024)

A heterogeneous graph-based semi-supervised learning framework for access control decision-making. - Jiao Yin 003; Guihong Chen; Wei Hong; Jinli Cao; Hua Wang 002; Yuan Miao 001 (World Wide Web (WWW), 2024)

A Compact Vulnerability Knowledge Graph for Risk Assessment. - Jiao Yin 003; Wei Hong; Hua Wang 002; Jinli Cao; Yuan Miao 001; Yanchun Zhang (ACM Trans. Knowl. Discov. Data, 2024)

Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features. - Phavithra Manoharan; Wei Hong; Jiao Yin 003; Hua Wang 002; Yanchun Zhang; Wenjie Ye (Data Sci. Eng., 2024)

ABG-NAS: Adaptive bayesian genetic neural architecture search for graph representation learning. - Sixuan Wang; Jiao Yin 003; Jinli Cao; Mingjian Tang 001; Hua Wang 002; Yanchun Zhang (Knowl. Based Syst., 2025)

Deep Reinforcement Learning-Based Cloud-Edge Offloading for WBANs. - Guihong Chen; Maojie Wang; Shaodong Han; Jiao Yin 003; Hua Wang 002; Jinli Cao (IEEE Trans. Consumer Electron., 2025)