Mengzhu Wang

Orcid: 0000-0002-1059-0441

According to our database¹, Mengzhu Wang authored at least 54 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Compressing the Multiobject Tracking Model via Knowledge Distillation.

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[DOI]

IEEE Trans. Comput. Soc. Syst., April, 2024

Multidocument Aspect Classification for Aspect-Based Abstractive Summarization.

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[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2024

TFC: Transformer Fused Convolution for Adversarial Domain Adaptation.

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[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2024

Joint Adversarial Domain Adaptation With Structural Graph Alignment.

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[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization.

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IEEE Trans. Image Process., 2024

Dynamic Spiking Graph Neural Networks.

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[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Correlation Matching Transformation Transformers for UHD Image Restoration.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OMG: Towards Effective Graph Classification Against Label Noise.

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IEEE Trans. Knowl. Data Eng., December, 2023

Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning.

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[DOI]

Pattern Recognit., November, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.

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[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2023

Class-specific and self-learning local manifold structure for domain adaptation.

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Pattern Recognit., October, 2023

A Neural Inference of User Social Interest for Item Recommendation.

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Data Sci. Eng., September, 2023

Self-aware circular response-guided attention for robust siamese tracking.

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[DOI]

Appl. Intell., June, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.

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[DOI]

Pattern Recognit., May, 2023

Bravely Say I Don't Know: Relational Question-Schema Graph for Text-to-SQL Answerability Classification.

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[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Importance filtered soft label-based deep adaptation network.

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Knowl. Based Syst., April, 2023

Boosting unsupervised domain adaptation: A Fourier approach.

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Knowl. Based Syst., March, 2023

Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation.

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IET Comput. Vis., February, 2023

A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking.

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[DOI]

IEEE Trans. Image Process., 2023

BP-triplet net for unsupervised domain adaptation: A Bayesian perspective.

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[DOI]

Pattern Recognit., 2023

Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation.

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[DOI]

CoRR, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

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CoRR, 2023

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mixture-of-Experts Learner for Single Long-Tailed Domain Generalization.

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[DOI]

Mengzhu Wang

Jianlong Yuan

Zhibin Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Interpolation Normalization for Contrast Domain Generalization.

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[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Closer Look at Classifier in Adversarial Domain Generalization.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

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Proceedings of the International Conference on Machine Learning, 2023

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Accelerated Dynamic Renal Phase-Contrast MRI using A Score-based Diffusion Network.

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[DOI]

Mengzhu Wang

Huajun She

Yiping P. Du

Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023

Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Perception Learning for Distribution Modulation in Siamese Tracking.

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Proceedings of the IEEE International Conference on Acoustics, 2023

Enhanced Dcf Tracker Regularized by Reliable Sample Construction.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media.

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Proceedings of the Database Systems for Advanced Applications, 2023

2022

A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding.

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[DOI]

IEEE Trans. Netw. Sci. Eng., 2022

Confidence Regularized Label Propagation Based Domain Adaptation.

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[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Informative pairs mining based adaptive metric learning for adversarial domain adaptation.

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[DOI]

Neural Networks, 2022

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.

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CoRR, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.

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CoRR, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.

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Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Semantic Data Augmentation based Distance Metric Learning for Domain Generalization.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Implicit Feature Alignment For Knowledge Distillation.

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Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer.

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Proceedings of the Neural Information Processing - 29th International Conference, 2022

Logit Distillation via Student Diversity.

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Proceedings of the Neural Information Processing - 29th International Conference, 2022

Attention-based Adversarial Partial Domain Adaptation.

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Proceedings of the IEEE International Conference on Acoustics, 2022

2021

An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation.

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Neural Networks, 2021

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.

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Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Spatio-Temporal Action Detector with Self-Attention.

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Proceedings of the International Joint Conference on Neural Networks, 2021

A Focally Discriminative Loss for Unsupervised Domain Adaptation.

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Proceedings of the Neural Information Processing - 28th International Conference, 2021

Similar Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation.

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[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2021

2020

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy.

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[DOI]

CoRR, 2020

Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models.

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[DOI]

BMC Medical Imaging, 2020

Mengzhu Wang

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