A Model of Dynamic Malware Analysis Based on VMI. - Chengye Li; Yangyue Xiang; Jiangyong Shi (ICA3PP (Workshops and Symposiums), 2015)

SPEMS: A Stealthy and Practical Execution Monitoring System Based on VMI. - Jiangyong Shi; Yuexiang Yang; Chengye Li; Xiaolei Wang 003 (ICCCS, 2015)

A Disjunctive VMI Model Based on XSM. - Jiangyong Shi; Yuexiang Yang; Chengye Li (SmartCity, 2015)

Chaos Enhanced Bacterial Foraging Optimization for Global Optimization. - Qian Zhang 049; Huiling Chen 001; Jie Luo 002; Yueting Xu; Chengwen Wu; Chengye Li (IEEE Access, 2018)

Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. - Chengye Li; Lingxian Hou; Bishundat Yanesh Sharma; Huaizhong Li; Chengshui Chen; Yuping Li; Xuehua Zhao; Hui Huang 009; Zhennao Cai; Huiling Chen 001 (Comput. Methods Programs Biomed., 2018)

Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier. - Aiju Lin; Quanquan Wu; Ali Asghar Heidari; Yueting Xu; Huiling Chen 001; Wujun Geng; Yuping li; Chengye Li (IEEE Access, 2019)

Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers. - Qian Zhang 049; Huiling Chen 001; Ali Asghar Heidari; Xuehua Zhao; Yingying Xu; Pengjun Wang; Yuping Li; Chengye Li (IEEE Access, 2019)

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features. - Hui Huang 009; Xi'an Feng; Suying Zhou; Jionghui Jiang; Huiling Chen 001; Yuping Li; Chengye Li (BMC Bioinform., 2019)

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy. - Zhennao Cai; Jianhua Gu; Jie Luo 002; Qian Zhang 049; Huiling Chen 001; Zhifang Pan; Yuping Li; Chengye Li (Expert Syst. Appl., 2019)

An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks. - Yueting Xu; Huiling Chen 001; Ali Asghar Heidari; Jie Luo 002; Qian Zhang 049; Xuehua Zhao; Chengye Li (Expert Syst. Appl., 2019)

Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine. - Guomin Liu; Wenyuan Jia; Mingjing Wang; Ali Asghar Heidari; Huiling Chen 001; Yungang Luo; Chengye Li (IEEE Access, 2020)

Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers. - Hua Tang; Yueting Xu; Aiju Lin; Ali Asghar Heidari; Mingjing Wang; Huiling Chen 001; Yungang Luo; Chengye Li (IEEE Access, 2020)

Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer. - Yan Wei; Huijing Lv; Meng-Xiang Chen; Mingjing Wang; Ali Asghar Heidari; Huiling Chen 001; Chengye Li (IEEE Access, 2020)

Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine. - Wei Zhu 020; Chao Ma 021; Xuehua Zhao; Mingjing Wang; Ali Asghar Heidari; Huiling Chen 001; Chengye Li (IEEE Access, 2020)

Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis. - Yi Fan; Pengjun Wang; Ali Asghar Heidari; Mingjing Wang; Xuehua Zhao; Huiling Chen 001; Chengye Li (Expert Syst. Appl., 2020)

Boosted hunting-based fruit fly optimization and advances in real-world problems. - Yi Fan; Pengjun Wang; Ali Asghar Heidari; Mingjing Wang; Xuehua Zhao; Huiling Chen 001; Chengye Li (Expert Syst. Appl., 2020)

Gaussian mutational chaotic fruit fly-built optimization and feature selection. - Xiang Zhang; Yueting Xu; Caiyang Yu; Ali Asghar Heidari; Shimin Li; Huiling Chen 001; Chengye Li (Expert Syst. Appl., 2020)

Quantum-like mutation-induced dragonfly-inspired optimization approach. - Caiyang Yu; Zhennao Cai; Xiaojia Ye; Mingjing Wang; Xuehua Zhao; Guoxi Liang; Huiling Chen 001; Chengye Li (Math. Comput. Simul., 2020)

An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study. - Peiliang Wu; Hua Ye; Xueding Cai; Chengye Li; Shimin Li; Meng-Xiang Chen; Mingjing Wang; Ali Asghar Heidari; Mayun Chen; Jifa Li; Huiling Chen 001; Xiaoying Huang; et al. (IEEE Access, 2021)

Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation. - Lei Liu 048; Dong Zhao; Fanhua Yu; Ali Asghar Heidari; Chengye Li; Jinsheng Ouyang; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh; Jingye Pan (Comput. Biol. Medicine, 2021)

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Huiling Chen 001; Hamza Turabieh; Majdi M. Mafarja; Chengye Li (Comput. Biol. Medicine, 2021)

Survival exploration strategies for Harris Hawks Optimizer. - Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001; Ali Asghar Heidari; Huiling Chen 001; Habes Al-Khraisat; Chengye Li (Expert Syst. Appl., 2021)

Chaos-assisted multi-population salp swarm algorithms: Framework and case studies. - Yun Liu; Yanqing Shi; Hao Chen; Ali Asghar Heidari; Wenyong Gui; Mingjing Wang; Huiling Chen 001; Chengye Li (Expert Syst. Appl., 2021)

Boosted binary Harris hawks optimizer and feature selection. - Yanan Zhang; Renjing Liu; Xin Wang 154; Huiling Chen 001; Chengye Li (Eng. Comput., 2021)

An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images. - Xiaowei Chen; Hui Huang 009; Ali Asghar Heidari; Chuanyin Sun; Yinqiu Lv; Wenyong Gui; Guoxi Liang; Zhiyang Gu; Huiling Chen 001; Chengye Li; Peirong Chen (Comput. Biol. Medicine, 2022)

DGRUnit: Dual graph reasoning unit for brain tumor segmentation. - Qihang Ma; Siyuan Zhou; Chengye Li; Feng Liu; Yan Liu; Mingzheng Hou; Yi Zhang (Comput. Biol. Medicine, 2022)

Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images. - Hang Su; Dong Zhao; Fanhua Yu; Ali Asghar Heidari; Yu Zhang; Huiling Chen 001; Chengye Li; Jingye Pan; Shichao Quan (Comput. Biol. Medicine, 2022)

Chaotic oppositional sine-cosine method for solving global optimization problems. - Xi Liang; Zhennao Cai; Mingjing Wang; Xuehua Zhao; Huiling Chen 001; Chengye Li (Eng. Comput., 2022)

A multi-strategy enhanced salp swarm algorithm for global optimization. - Hongliang Zhang 002; Zhennao Cai; Xiaojia Ye; Mingjing Wang; Fangjun Kuang; Huiling Chen 001; Chengye Li; Yuping Li (Eng. Comput., 2022)

Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine. - Chengye Li; Lingxian Hou; Jingye Pan; Huiling Chen 001; Xueding Cai; Guoxi Liang (Frontiers Neuroinformatics, 2022)

Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer. - Lingxian Hou; Ruohe Li; Majdi M. Mafarja; Ali Asghar Heidari; Liping Liu; Congcong Jin; Shanshan Zhou; Huiling Chen 001; Zhennao Cai; Chengye Li (Biomed. Signal Process. Control., 2023)

Comprehensive analysis of cuproptosis-related genes in immune infiltration and prognosis in lung adenocarcinoma. - Xiaona Xie; Qianzi Liu; Xuehua Zhou; Rongtao Liang; Shengbo Yang; Min Xu; Haiyang Zhao; Chengye Li; Yanfan Chen; Xueding Cai (Comput. Biol. Medicine, 2023)

Ground Deformation and Permafrost Degradation in the Source Region of the Yellow River, in the Northeast of the Qinghai-Tibet Plateau. - Chengye Li; Lin Zhao 013; Lingxiao Wang 008; Shibo Liu; Huayun Zhou; Zhibin Li; Guangyue Liu; Erji Du; Defu Zou; Yingxu Hou (Remote. Sens., 2023)

Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis. - Xinsen Zhou; Yi Chen 023; Wenyong Gui; Ali Asghar Heidari; Zhennao Cai; Mingjing Wang; Huiling Chen 001; Chengye Li (Artif. Intell. Medicine, 2024)

Identification of inflammatory response-related molecular mechanisms based on the ATM/ATR/p53 pathway in tumor cells. - Chengye Li; Hanbin Chen; Xiaojian Chen; Peizhen Wang; Yunjiao Shi; Xiaona Xie; Yanfan Chen; Xueding Cai (Comput. Biol. Medicine, 2024)

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics. - Chengye Li; Zhifeng Zhou; Lingxian Hou; Keli Hu; Zongda Wu; Yupeng Xie; Jinsheng Ouyang; Xueding Cai (Comput. Biol. Medicine, 2024)

Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography. - Jie Xing; Chengye Li; Peiliang Wu; Xueding Cai; Jinsheng Ouyang (Comput. Biol. Medicine, 2024)

Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization. - Hongliang Guo; Zhiyao Zhang; Iman Ahmadianfar; José Escorcia-Gutierrez; Nojood O. Aljehane; Chengye Li (Comput. Biol. Medicine, 2024)

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning. - Chengye Li; Haiyun Liu; Yuanxi Li (CoRR, 2025)

An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage. - Lingxian Hou; Yongsheng Wang; Xiuqi Lin; Chengye Li; Huangrong Guo; Congcong Jin; Yi Chen; Huiling Chen; Jing Ji; Wenzong Zhu (J. Big Data, 2025)

An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion. - Qian Zhang; Dongke Zhao; Lingxian Hou; Ali Asghar Heidari; Yi Chen; Lei Liu; Huiling Chen; Chengye Li (J. Big Data, 2025)