research
∙
02/24/2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Hypergraph neural networks (HGNN) have shown superior performance in var...
share
research
∙
10/25/2022
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning
We propose COEP, an automated and principled framework to solve inverse ...
research
∙
08/28/2022
On the design of Massive MIMO-QAM detector via â„“_2-Box ADMM approach
In this letter, we develop an â„“_2-box maximum likelihood (ML) formulatio...
research
∙
05/12/2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System
The real-time transient stability assessment (TSA) plays a critical role...
research
∙
10/14/2020
Designing Massive MIMO Detector via PS-ADMM approach
In this paper, we develop an efficient detector for massive multiple-inp...
research
∙
10/02/2020
MCMC-Interactive Variational Inference
Leveraging well-established MCMC strategies, we propose MCMC-interactive...
research
∙
05/15/2020
Quantum-Classical Machine learning by Hybrid Tensor Networks
Tensor networks (TN) have found a wide use in machine learning, and in p...
research
∙
11/02/2019
Weibull Racing Time-to-event Modeling and Analysis of Online Borrowers' Loan Payoff and Default
We propose Weibull delegate racing (WDR) to explicitly model surviving u...
research
∙
12/07/2018
Research on Limited Buffer Scheduling Problems in Flexible Flow Shops with Setup Times
In order to solve the limited buffer scheduling problems in flexible flo...
research
∙
10/19/2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
We propose Lomax delegate racing (LDR) to explicitly model the mechanism...
research
∙
12/30/2016
