Image Restoration Based on Eigensubspace for Image Structure. - Xiaotong Hu; Dongrui Cao; Shuping Qiu (ISM, 2006)

Designing for Threshold Values of Flat/Non-flat Image Blocks for Fractal Image Coding. - Xiaotong Hu; Dexue Bi (CSIE (6), 2009)

Application of Unscented Kalman Filter in Tracking of Video Moving Target. - Qin Guo; Cuixia Zeng; Zhizhao Jiang; Xiaotong Hu; Xiaofei Deng (CCBR, 2019)

Structure-Property Relationships in Graphene-Based Strain and Pressure Sensors for Potential Artificial Intelligence Applications. - Zewei Luo; Xiaotong Hu; Xiyue Tian; Chen Luo; Hejun Xu; Quanling Li; Qianhao Li; Jian Zhang; Fei Qiao; Xing Wu 005; V. E. Borisenko; Junhao Chu (Sensors, 2019)

Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm. - Fuqing Zhao; Xiaotong Hu; Jinlong Zhao; Huan Liu 001 (CSCWD, 2021)

Backtracking Search Algorithm based on Knowledge of Different Populations for Continuous Optimization Problems. - Fuqing Zhao; Jinlong Zhao; Xiaotong Hu; Yi Zhang 096; Weimin Ma (CSCWD, 2021)

Deep Reinforcement Learning and Docking Simulations for autonomous molecule generation in de novo Drug Design. - Hao Liu; Qian Wang; Xiaotong Hu (MMAsia, 2021)

Day-Ahead Scheduling of Power System With Short-Circuit Current Constraints Considering Transmission Switching and Wind Generation. - Haocheng Hua; Tianqi Liu 001; Chuan He; Lu Nan; Hong Zeng; Xiaotong Hu; Bin Che (IEEE Access, 2021)

A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism. - Fuqing Zhao; Xiaotong Hu; Ling Wang 001; Jinlong Zhao; Jianxin Tang; Jonrinaldi (Knowl. Based Syst., 2022)

A brain storm optimization algorithm with feature information knowledge and learning mechanism. - Fuqing Zhao; Xiaotong Hu; Ling Wang 001; Tianpeng Xu; Ningning Zhu; Jonrinaldi (Appl. Intell., 2023)

A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem. - Fuqing Zhao; Xiaotong Hu; Ling Wang 001; Tianpeng Xu; Ningning Zhu; Jonrinaldi (Int. J. Prod. Res., 2023)

An improved iterative greedy athm for energy-efficient distributed assembly no-wait flow-shop scheduling problem. - Fuqing Zhao; Zesong Xu; Xiaotong Hu; Tianpeng Xu; Ningning Zhu; Jonrinaldi (Swarm Evol. Comput., 2023)

Molecular generation strategy and optimization based on A2C reinforcement learning in de novo drug design. - Qian Wang; Zhiqiang Wei 002; Xiaotong Hu; Zhuoya Wang; Yujie Dong; Hao Liu 045 (Bioinform., 2023)

Target-aware Guided equivariant Diffusion model for 3D molecule Generation. - Qian Wang; Zhiqiang Wei; Xiaotong Hu; Zhuoya Wang; Hao Lu; Hao Liu (BIBM, 2024)

Application of Large Language Models for Digital Libraries. - Xiaotong Hu (JCDL, 2024)

Reinforcement learning-driven exploration of peptide space: accelerating generation of drug-like peptides. - Qian Wang; Xiaotong Hu; Zhiqiang Wei; Hao Lu; Hao Liu (Briefings Bioinform., 2024)

Large-Scale Molecular Dynamics Simulation Based on Heterogeneous Many-Core Architecture. - Xu Zhou; Zhiqiang Wei 002; Hao Lu; Jiaqi He; Yuan Gao; Xiaotong Hu; Cunji Wang; Yujie Dong; Hao Liu 045 (J. Chem. Inf. Model., 2024)

Identification of important software based on software dependency graph. - Xiaotong Hu; Ziwei Chen; Lingyun Situ; Xuelian Pan; Jin Shi (Scientometrics, 2025)