Search Results for author: Dan Wu

Found 22 papers, 4 papers with code

Hybrid Parallel Collaborative Simulation Framework Integrating Device Physics with Circuit Dynamics for PDAE-Modeled Power Electronic Equipment

no code implementations17 Jan 2025 Qingyuan Shi, Chijie Zhuang, Jiapeng Liu, Bo Lin, Xiyu Peng, Dan Wu, Zhicheng Liu, Rong Zeng

To bridge this gap, this paper proposes a Hybrid-Parallel Collaborative (HPC) framework specifically designed to analyze the Partial Differential Algebraic Equation (PDAE) modeled power electronic equipment, integrating the device physics and circuit dynamics.

Blocking

7 Tesla multimodal MRI dataset of ex-vivo human brain

no code implementations6 Dec 2024 Qinfeng Zhu, Sihui Li, Zuozhen Cao, Yao Shen, Haoan Xu, Guojun Xu, Haotian Li, Keqing Zhu, Zhiyong Zhao, Jing Zhang, Dan Wu

Ex-vivo MRI offers invaluable insights into the complexity of the human brain, enabling high-resolution anatomical delineation and integration with histopathology, and thus, contributes to both basic and clinical studies on normal and pathological brains.

Diffusion MRI Diversity

AtlasSeg: Atlas Prior Guided Dual-U-Net for Cortical Segmentation in Fetal Brain MRI

no code implementations5 Nov 2024 Haoan Xu, Tianshu Zheng, Xinyi Xu, Yao Shen, Jiwei Sun, Cong Sun, Guangbin Wang, Zhaopeng Cui, Dan Wu

Accurate automatic tissue segmentation in fetal brain MRI is a crucial step in clinical diagnosis but remains challenging, particularly due to the dynamically changing anatomy and tissue contrast during fetal development.

Anatomy Diagnostic +1

SCREENER: A general framework for task-specific experiment design in quantitative MRI

no code implementations6 Aug 2024 Tianshu Zheng, Zican Wang, Timothy Bray, Daniel C. Alexander, Dan Wu, HUI ZHANG

Results demonstrate SCREENER outperforms previous ad hoc and optimized protocols under clinical signal-to-noise ratio (SNR) conditions, achieving significant improvement, both in binary classification tasks, e. g. from 67% to 89%, and in a multi-class classification task, from 46% to 59%.

Binary Classification Deep Reinforcement Learning +2

Approximating Voltage Stability Boundary Under High Variability of Renewables Using Differential Geometry

no code implementations3 Oct 2023 Dan Wu, Franz-Erich Wolter, Sijia Geng

This paper proposes a novel method rooted in differential geometry to approximate the voltage stability boundary of power systems under high variability of renewable generation.

InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update

1 code implementation20 Sep 2023 Dan Wu, Zhaoying Li, Tulika Mitra

Our experiments with three GNN models on four large graphs demonstrate that InkStream accelerates by 2. 5-427$\times$ on a CPU cluster and 2. 4-343$\times$ on two different GPU clusters while producing identical outputs as GNN model inference on the latest graph snapshot.

Graph Neural Network

A Motion Assessment Method for Reference Stack Selection in Fetal Brain MRI Reconstruction Based on Tensor Rank Approximation

1 code implementation30 Jun 2023 Haoan Xu, Wen Shi, Jiwei Sun, Tianshu Zheng, Cong Sun, Sun Yi, Guangbin Wang, Dan Wu

Conclusion: The proposed CP-based MA method showed superior performance compared to SVD-based methods with higher sensitivity to motion, success rate, and lower baseline bias, and can be used as a prior step to improve fetal brain reconstruction.

MRI Reconstruction Super-Resolution

Quantum Power Flows: From Theory to Practice

no code implementations10 Nov 2022 Junyu Liu, Han Zheng, Masanori Hanada, Kanav Setia, Dan Wu

Climate change is becoming one of the greatest challenges to the sustainable development of modern society.

Cyber-resilient Automatic Generation Control for Systems of AC Microgrids

no code implementations23 Aug 2022 Tong Huang, Dan Wu, Marija Ilic

In this paper we propose a co-design of the secondary frequency regulation in systems of AC microgrids and its cyber securty solutions.

Cyber Attack Detection

AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRI

1 code implementation12 May 2022 Wen Shi, Haoan Xu, Cong Sun, Jiwei Sun, Yamin Li, Xinyi Xu, Tianshu Zheng, Yi Zhang, Guangbin Wang, Dan Wu

Multi-slice magnetic resonance images of the fetal brain are usually contaminated by severe and arbitrary fetal and maternal motion.

Super-Resolution

Meta Attention For Off-Policy Actor-Critic

no code implementations29 Sep 2021 Jiateng Huang, Wanrong Huang, Long Lan, Dan Wu

In this paper, we propose a meta attention method for state-based reinforcement learning tasks, which combines attention mechanism and meta-learning based on the Off-Policy Actor-Critic framework.

continuous-control Continuous Control +5

DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control

no code implementations12 Sep 2021 Libing Wu, Min Wang, Dan Wu, Jia Wu

Then, to efficiently utilize the historical state information of the intersection, we design a sequence model with the temporal convolutional network (TCN) to capture the historical information and further merge it with the spatial information to improve its performance.

Graph Attention Traffic Signal Control

Progressive extension of reinforcement learning action dimension for asymmetric assembly tasks

no code implementations6 Apr 2021 Yuhang Gai, Jiuming Guo, Dan Wu, Ken Chen

Reinforcement learning (RL) is always the preferred embodiment to construct the control strategy of complex tasks, like asymmetric assembly tasks.

reinforcement-learning Reinforcement Learning +1

Performance Comparison between Reconfigurable Intelligent Surface and Relays: Theoretical Methods and a Perspective from Operator

no code implementations28 Jan 2021 Qi Gu, Dan Wu, Xin Su, Jing Jin, Yifei Yuan, Jiangzhou Wang

On the other hand, a relay node in a traditional relay network has to be active, which indicates that it will consume energy when it is relaying the signal or information between the source and destination nodes.

Information Theory Information Theory

Compressive Circular Polarization Snapshot Spectral Imaging

no code implementations29 Nov 2020 Jianglan Ning, Zhilong Xu, Dan Wu, Rui Zhang, Yuanyuan Wang, Yingge Xie, Wei Zhao, Xu Ma, Wenyi Ren

A compressive sensing based circular polarization snapshot spectral imaging system is proposed in this paper to acquire two-dimensional spatial, one-dimensional circular polarization (the right and left circular polarization), and one-dimensional spectral information, simultaneously.

Compressive Sensing Optics Image and Video Processing 78A10 (Primary) I.4.2; I.4.4; I.4.5

Discriminatively Constrained Semi-supervised Multi-view Nonnegative Matrix Factorization with Graph Regularization

no code implementations26 Oct 2020 Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li

In recent years, semi-supervised multi-view nonnegative matrix factorization (MVNMF) algorithms have achieved promising performances for multi-view clustering.

Clustering

Kernel principal component analysis network for image classification

no code implementations20 Dec 2015 Dan Wu, Jiasong Wu, Rui Zeng, Longyu Jiang, Lotfi Senhadji, Huazhong Shu

In order to classify the nonlinear feature with linear classifier and improve the classification accuracy, a deep learning network named kernel principal component analysis network (KPCANet) is proposed.

Classification Face Recognition +4

Conditional Random Fields with High-Order Features for Sequence Labeling

no code implementations NeurIPS 2009 Nan Ye, Wee S. Lee, Hai L. Chieu, Dan Wu

Dependencies among neighbouring labels in a sequence is an important source of information for sequence labeling problems.

Vocal Bursts Intensity Prediction

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