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Lusi Li

Assistant Professor

Old Dominion University

United States

Research Interests

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About

Dr. Lusi Li is an Assistant Professor at Old Dominion University, located in the United States. Her research areas encompass fault diagnosis in pumping systems, few-shot class-incremental learning, enhanced object detection, and efficient neural network compression. Recent publications include advancements in multidomain analysis, quantum computing applications for MRI classification, and innovative approaches in multi-view clustering.

Articles (32)

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Collaborators (5)

Houbing Song

Full Professor (tenured)

University of Maryland

UNITED STATES

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Jie Li

Old Dominion University

UNITED STATES

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Safayat Bin Hakim

University of Maryland Baltimore County

UNITED STATES

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Shuai Hao

Assistant Professor

Old Dominion University

UNITED STATES

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Fernando Alonso-Fernandez

Professor

Halmstad University

SWEDEN

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Lusi Li

Research Interests

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About

Articles (32)

Elasticity-Aware Neural Hamiltonian Fields for dynamic 3D vision synthesis

Counterfactual distribution intervention for few-shot class-incremental learning

PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering

SEMDI-Net: Deep learning techniques for denoising scanning electron microscope images of fiber masterbatches

LLM-Enhanced Position-Aware Graph for Sequential Recommendation

Not All, but the Right Ones: Energy-Guided Representation Learning for Incomplete Multiview Clustering

Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems

Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning

Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection

Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition

TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition

HQNet: A hybrid quantum network for multi-class MRI brain classification via quantum computing

Adaptive multi-graph contrastive learning for bundle recommendation

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment

Confident Local Structure-Aware Incomplete Multiview Spectral Clustering

Energy-based Deep Incomplete Multi-View Clustering

Contrastive Multi-Hop Semantic Communication

ECSC: Energy-Calibrated Semantic Communication

Zero Trust Edge and Federated Learning for Consumer Internet of Things

Adaptive Multi-graph Fusion with Contrastive Learning for Bundle Recommendation

Deformation depth decoupling network for point cloud domain adaptation

A Novel Unsupervised Approach for Cross-Lingual Word Alignment in Low Isomorphic Embedding Spaces

Balance guided incomplete multi-view spectral clustering

Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss

A Novel Unsupervised Approach for Cross-Lingual Word Alignment in Low Isomorphic Embedding Spaces

Incomplete Multi-View Clustering with Joint Partition and Graph Learning

An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis

Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation

Bipartite Graph Based Multi-View Clustering

Dual Alignment for Partial Domain Adaptation

Deep Transfer Cooperative Sensing in Cognitive Radio

An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification

Collaborators (5)

Houbing Song

Jie Li

Safayat Bin Hakim

Shuai Hao

Fernando Alonso-Fernandez

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