Web 3DNA 2.0 for the analysis, visualization, and modeling of 3D nucleic acid structures. - Shuxiang Li; Wilma K. Olson; Xiang-Jun Lu (Nucleic Acids Res., 2019)

A Binary Superior Tracking Artificial Bee Colony for Feature Selection. - Xianghua Chu; Shuxiang Li; Wenjia Mao; Wei Zhao; Linya Huang (NCAA, 2020)

Identification of Novel TRPC5 Inhibitors by Pharmacophore-Based and Structure-Based Approaches. - Shuxiang Li; Shuqun Zhang; Dingyuan Chen; Xuan Jiang; Bin Liu; Hongbin Zhang; Munikishore Rachakunta; Zhili Zuo (Comput. Biol. Chem., 2020)

A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection. - Xianghua Chu; Shuxiang Li; Da Gao; Wei Zhao; Jianshuang Cui; Linya Huang (Complex., 2020)

Adaptive management and multi-objective optimization of virtual machine in cloud computing based on particle swarm optimization. - Shuxiang Li; Xianbing Pan (EURASIP J. Wirel. Commun. Netw., 2020)

Meta-feature Extraction for Multi-objective Optimization Problems. - Xianghua Chu; Jiayun Wang; Shuxiang Li; Linya Huang; Qiu He; Guodan Bao; Wei Zhao (NCAA, 2021)

Discovery of potentially biased agonists of mu-opioid receptor (MOR) through molecular docking, pharmacophore modeling, and MD simulation. - Xuan Jiang; Shuxiang Li; Hongbin Zhang; Liang-Liang Wang (Comput. Biol. Chem., 2021)

Empirical study on meta-feature characterization for multi-objective optimization problems. - Xianghua Chu; Jiayun Wang; Shuxiang Li; Yujuan Chai; Yuqiu Guo (Neural Comput. Appl., 2022)

A Stacked Autoencoder Based Meta-Learning Model for Global Optimization. - Yue Ma; Yongsheng Pang; Shuxiang Li; Yuanju Qu; Yangpeng Wang; Xianghua Chu (NCAA (1), 2023)

Accident risk tensor-specific covariant model for railway accident risk assessment and prediction. - Yangpeng Wang; Shuxiang Li; Kangkuen Lee; Hwayaw Tam; Yuanju Qu; Jingyin Huang; Xianghua Chu (Reliab. Eng. Syst. Saf., 2023)

A data-driven meta-learning recommendation model for multi-mode resource constrained project scheduling problem. - Xianghua Chu; Shuxiang Li; Fei Gao 015; Can Cui 002; Forest Pfeiffer; Jianshuang Cui (Comput. Oper. Res., 2023)

Multi-characteristic reinforcement of horizontally integrated TENet based on wrist bone development criteria for pediatric bone age assessment. - Kunyuan Jian; Shuxiang Li; Mengning Yang; Simin Wang; Cui Song (Appl. Intell., 2023)

Dense Contrastive Learning and Depth Dynamic Aggregation for Reference-based Super-Resolution. - Shuxiang Li; Yuhan Dong; Zhide Li; Xuefeng Jiang (CVIPPR, 2024)

Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring. - Xianghua Chu; Yongsheng Pang; Yue Ma; Shuxiang Li; Yuanju Qu; Yangpeng Wang (IEEE Trans. Consumer Electron., 2024)

An offline-online learning framework combining meta-learning and reinforcement learning for evolutionary multi-objective optimization. - Shuxiang Li; Yongsheng Pang; Zhaorong Huang; Xianghua Chu (Swarm Evol. Comput., 2025)