A Hybrid Algorithm Based on PSO and Simulated Annealing and Its Applications for Partner Selection in Virtual Enterprise. - Fuqing Zhao; Qiuyu Zhang; Dongmei Yu; Xuhui Chen; Yahong Yang (ICIC (1), 2005)

Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem. - Fuqing Zhao; Yi Hong 008; Dongmei Yu; Xuhui Chen; Yahong Yang (ISNN (1), 2005)

A Scheduling Holon Modeling Method with Petri Net and its Optimization with a Novel PSO-GA Algorithm. - Fuqing Zhao; Qiuyu Zhang; Yahong Yang (CSCWD, 2006)

A Novel Task Allocation Problem Solution with PSO Algorithm for Holonic Manufacturing System. - Fuqing Zhao; Qiuyu Zhang; Yahong Yang (CSCWD, 2006)

Timed Petri-Net(TPN) Based Scheduling Holon and Its Solution with a Hybrid PSO-GA Based Evolutionary Algorithm(HPGA). - Fuqing Zhao; Yahong Yang; Qiuyu Zhang; Huawei Yi (PRICAI, 2006)

Traffic tree based burst scheduling in optical burst switching network. - Wei Dai; Guiling Wu; Jianping Chen; Xinwan Li; Yahong Yang (IEEE Commun. Lett., 2008)

Multi-objective optimization based on ant colony optimization in grid over optical burst switching networks. - Yahong Yang; Guiling Wu; Jianping Chen; Wei Dai (Expert Syst. Appl., 2010)

A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems. - Fuqing Zhao; Yi Hong 008; Dongmei Yu; Yahong Yang; Qiuyu Zhang (Int. J. Comput. Integr. Manuf., 2010)

Joint congestion control and processor allocation for task scheduling in grid over OBS networks. - Yahong Yang; Guiling Wu; Wei Dai; Jianping Chen (Expert Syst. Appl., 2011)

A new Approach based on Ant Colony Optimization (ACO) to Determine the Supply Chain (SC) Design for a Product Mix. - Fuqing Zhao; Jianxin Tang; Yahong Yang (J. Comput., 2012)

Convergence from Atomistic Model to Peierls-Nabarro Model for Dislocations in Bilayer System with Complex Lattice. - Yahong Yang; Tao Luo; Yang Xiang (CoRR, 2021)

A Survey of Quantitative Comparative Research on Intrusion Detection Algorithms in Wireless Sensor Networks. - Yahong Yang; Pan Wang 001; Zixuan Wang; Zeyi Li (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Approximation of Functionals by Neural Network without Curse of Dimensionality. - Yahong Yang; Yang Xiang (CoRR, 2022)

A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem. - Yahong Yang; Xun Li (Expert Syst. Appl., 2022)

Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. - Yahong Yang; Haizhao Yang; Yang Xiang (NeurIPS, 2023)

Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces. - Yahong Yang; Yue Wu; Haizhao Yang; Yang Xiang (CoRR, 2023)

Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms. - Yahong Yang; Yulong Lu (CoRR, 2023)

Stochastic Continuum Models for High-Entropy Alloys with Short-range Order. - Yahong Yang; Luchan Zhang; Yang Xiang 002 (Multiscale Model. Simul., 2023)

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. - Yahong Yang; Juncai He 001 (ICML, 2024)

Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations. - Wenrui Hao; Xinliang Liu; Yahong Yang (NeurIPS, 2024)

Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations. - Wenrui Hao; Xinliang Liu; Yahong Yang (CoRR, 2024)

On pattern formation in the thermodynamically-consistent variational Gray-Scott model. - Wenrui Hao; Chun Liu 009; Yiwei Wang; Yahong Yang (CoRR, 2024)

DeepONet for Solving PDEs: Generalization Analysis in Sobolev Training. - Yahong Yang (CoRR, 2024)

Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers. - Chuqi Chen; Qixuan Zhou; Yahong Yang; Yang Xiang 002; Tao Luo 012 (CoRR, 2024)

Multiscale Neural Networks for Approximating Green's Functions. - Wenrui Hao; Ruipeng Li; Yuanzhe Xi; Tianshi Xu; Yahong Yang (CoRR, 2024)

Near-optimal deep neural network approximation for Korobov functions with respect to Lp and H1 norms. - Yahong Yang; Yulong Lu (Neural Networks, 2024)

Resource-Constraint Deep Forest-Based Intrusion Detection Method in Internet of Things for Consumer Electronic. - Xuejiao Chen; Pan Wang 001; Yahong Yang; Minyao Liu (IEEE Trans. Consumer Electron., 2024)

An imbalanced learning-based sampling method for physics-informed neural networks. - Jiaqi Luo; Yahong Yang; Yuan Yuan; Shixin Xu; Wenrui Hao (J. Comput. Phys., 2025)

Learn Sharp Interface Solution by Homotopy Dynamics. - Chuqi Chen; Yahong Yang; Yang Xiang 002; Wenrui Hao (CoRR, 2025)

Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks. - Yahong Yang; Qipin Chen; Wenrui Hao (J. Sci. Comput., 2025)

Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms. - Yahong Yang; Juncai He (CoRR, 2025)

Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. - Chuqi Chen; Yahong Yang; Yang Xiang 002; Wenrui Hao (J. Sci. Comput., 2025)