6 papers
Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design
Xu Yang, Mingyang Yu, Jing Xu +1
Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enfor…
A Quantum-Driven Evolutionary Framework for Solving High-Dimensional Sharpe Ratio Portfolio Optimization
Mingyang Yu, Jiaqi Zhang, Haorui Yang +3
High-dimensional portfolio optimization faces significant computational challenges under complex constraints, with traditional optimization methods struggling to balance convergenc…
A Quantum Tunneling and Bio-Phototactic Driven Enhanced Dwarf Mongoose Optimizer for UAV Trajectory Planning and Engineering Problem
Mingyang Yu, Haorui Yang, Kangning An +3
With the widespread adoption of unmanned aerial vehicles (UAV), effective path planning has become increasingly important. Although traditional search methods have been extensively…
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
Ji Du, Xin Wang, Fangwei Hao +6
At the core of Camouflaged Object Detection (COD) lies segmenting objects from their highly similar surroundings. Previous efforts navigate this challenge primarily through image-l…
QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation
Mingyang Yu, Haorui Yang, Donglin Wang +4
In response to the challenges in large-scale quantum state simulation on classical computing platforms, including memory limits, frequent disk I/O, and high computational complexit…
Distributed Shared Layered Storage Quantum Simulator: A novel quantum simulation system for efficient scaling and cost optimization
Mingyang Yu, Haorui Yang, Donglin Wang +5
Quantum simulators are essential tools for developing and testing quantum algorithms. However, the high-frequency traversal characteristic of quantum simulators represents an unpre…