6 citations · 7 across the 5 of their papers we have counts for
5 papers
EPIC-CIM: Training Convolutional Neural Networks on a Coherent Ising Machine via Equilibrium Propagation
Xingrui Yin, Shenwei Kang, Haoqi He +7
Quantum convolutional neural networks, due to the involvement of quantum measurements and discrete quantum state evolution, face inherent training challenges associated with non-di…
Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
Haoqi He, Xiaokai Lin, Jiancai Chen +1
Data poisoning attacks pose significant threats to machine learning models by introducing malicious data into the training process, thereby degrading model performance or manipulat…
Probabilistic Quantum SVM Training on Ising Machine
Haoqi He, Yan Xiao
Quantum computing holds significant potential to accelerate machine learning algorithms, especially in solving optimization problems like those encountered in Support Vector Machin…
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
Haoqi He, Yan Xiao, Wenzhi Xu +3
Estimating the global Lipschitz constant of neural networks is crucial for understanding and improving their robustness and generalization capabilities. However, precise calculatio…
Quantum Annealing and Graph Neural Networks for Solving TSP with QUBO
Haoqi He
This paper explores the application of Quadratic Unconstrained Binary Optimization (QUBO) models in solving the Travelling Salesman Problem (TSP) through Quantum Annealing algorith…