1 code implementation • 10 May 2024 • Yuxiang Zhang, Xin Liu, Meng Wu, Wei Yan, Mingyu Yan, Xiaochun Ye, Dongrui Fan
In this study, we introduce Disttack, the first framework of adversarial attacks for distributed GNN training that leverages the characteristics of frequent gradient updates in a distributed system.
no code implementations • 10 Mar 2024 • Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan
It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i. e., graph data augmentation and attack.
no code implementations • 6 Feb 2024 • Nishchal Sapkota, Yejia Zhang, Susan M. Motch Perrine, Yuhan Hsi, Sirui Li, Meng Wu, Greg Holmes, Abdul R. Abdulai, Ethylin W. Jabs, Joan T. Richtsmeier, Danny Z Chen
Experiments on the mice cartilage dataset show the superiority of our new model compared to other competitive segmentation models.
no code implementations • 1 Nov 2023 • Meng Wu, Siyan Luo, Qiyu Wu, Wenbin Ouyang
Medical Image Hierarchical Multi-Label Classification (MI-HMC) is of paramount importance in modern healthcare, presenting two significant challenges: data imbalance and \textit{hierarchy constraint}.
no code implementations • 14 Jun 2023 • Mohammad Mousavi, Meng Wu
To compare the proposed framework, an ideal case is defined in which DER aggregators can participate in the wholesale market directly and ISO overseas operation of both transmission and distribution systems.
no code implementations • 10 May 2023 • Mariano Zeron, Meng Wu, Ignacio Ruiz
When the Orthogonal Chebyshev Sliding Technique was introduced it was applied to a portfolio of swaps and swaptions within the context of the FRTB-IMA capital calculation.
1 code implementation • 8 Oct 2022 • Peizhe Jiang, Wei Yang, Xiaoqing Ye, Xiao Tan, Meng Wu
Monocular depth estimation (MDE) in the self-supervised scenario has emerged as a promising method as it refrains from the requirement of ground truth depth.
no code implementations • 13 Sep 2022 • Mohammad Mousavi, Li "Lisa" Qi, Alexander Brissette, Meng Wu
In the lower-level problem, the EV owner's utility function is maximized.
no code implementations • 25 Jul 2022 • Sayyid Mohssen Sajjadi, Meng Wu
The competitions among the EUs in each DR program is captured through a non-cooperative simultaneous game.
no code implementations • 19 Jan 2022 • Mohammad Mousavi, Meng Wu
In this paper, a framework is proposed to coordinate the operation of the independent system operator (ISO) and distribution system operator (DSO) to leverage the wholesale market participation of distributed energy resources (DERs) aggregators while ensuring secure operation of distribution grids.
no code implementations • 4 Oct 2021 • Sayyid Mohssen Sajjadi, Meng Wu
A game theoretic model, consisting of a sequential game coupled with a simultaneous game, is proposed to capture the competition and interaction among PV prosumers, the third-party DR providers, and the utility company.
no code implementations • ICLR 2022 • Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu
MultiCriticAL is tested in the context of multi-style learning, a special case of MTRL where agents are trained to behave with different distinct behavior styles, and yields up to 45% performance gains over the single-critic baselines and even successfully learns behavior styles in cases where single-critic approaches may simply fail to learn.
no code implementations • 18 Feb 2021 • Zhenglu Li, Meng Wu, Yang-Hao Chan, Steven G. Louie
Our results reveal it is the electron density-of-states being the predominant factor in determining the doping-dependence of the kink size, manifesting the multi-band nature of the cuprates, as opposed to the prevalent belief of it being a measure of the mode-coupling strength.
Superconductivity Materials Science
no code implementations • 4 Jan 2021 • Esa Järvenpää, Maarit Järvenpää, Ville Suomala, Meng Wu
The bound is valid for all visible parts and it depends on the penetrable part of the set, which is a concept defined in this paper.
Dynamical Systems Classical Analysis and ODEs 28A80
no code implementations • 9 Nov 2020 • Zhongxia Zhang, Meng Wu
In this paper, we propose a model-free unsupervised learning approach to forecast real-time locational marginal prices (RTLMPs) in wholesale electricity markets.
no code implementations • 10 Jun 2020 • Reza Khalilisenobari, Meng Wu
This paper proposes a bi-level optimization framework to investigate the optimal market operation strategies of price-maker battery energy storage systems (BESSs) in real-time energy, spinning reserve, and pay as performance regulation markets, with a special focus on understanding BESS's excessive regulation market participation observed by several system operators and the impact of battery degradation cost on BESS market activities.
no code implementations • 20 Mar 2020 • Zhongxia Zhang, Meng Wu
In this paper, we propose an unsupervised data-driven approach to predict real-time locational marginal prices (RTLMPs).
1 code implementation • 2017 Computing in Cardiology (CinC) 2017 • Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie
We propose ENCASE to combine expert features and DNNs (Deep Neural Networks) together for ECG classification.
Ranked #1 on Time Series Classification on Physionet 2017 Atrial Fibrillation (F1 (Hidden Test Set) metric)