Mengzhu Wang

Orcid: 0009-0006-2914-101X

According to our database1, Mengzhu Wang authored at least 64 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.
IEEE Trans. Comput. Soc. Syst., April, 2024

Multidocument Aspect Classification for Aspect-Based Abstractive Summarization.
IEEE Trans. Comput. Soc. Syst., February, 2024

TFC: Transformer Fused Convolution for Adversarial Domain Adaptation.
IEEE Trans. Comput. Soc. Syst., February, 2024

Joint Adversarial Domain Adaptation With Structural Graph Alignment.
IEEE Trans. Netw. Sci. Eng., 2024

Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization.
IEEE Trans. Image Process., 2024

A Portable and Highly Integrated Solid-State Quantum Magnetometer Module Based on the Diamond NV Color Centers.
IEEE Trans. Instrum. Meas., 2024

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching.
Neurocomputing, 2024

Degree Distribution based Spiking Graph Networks for Domain Adaptation.
CoRR, 2024

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement.
CoRR, 2024

Open-World Test-Time Training: Self-Training with Contrast Learning.
CoRR, 2024

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation.
CoRR, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
CoRR, 2024

Continuous Spiking Graph Neural Networks.
CoRR, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SBM: Smoothness-Based Minimization for Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Graph Contrastive Learning via Adaptive Positive Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic Spiking Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Correlation Matching Transformation Transformers for UHD Image Restoration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
OMG: Towards Effective Graph Classification Against Label Noise.
IEEE Trans. Knowl. Data Eng., December, 2023

Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning.
Pattern Recognit., November, 2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2023

Class-specific and self-learning local manifold structure for domain adaptation.
Pattern Recognit., October, 2023

A Neural Inference of User Social Interest for Item Recommendation.
Data Sci. Eng., September, 2023

Self-aware circular response-guided attention for robust siamese tracking.
Appl. Intell., June, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.
Pattern Recognit., May, 2023

Bravely Say I Don't Know: Relational Question-Schema Graph for Text-to-SQL Answerability Classification.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Importance filtered soft label-based deep adaptation network.
Knowl. Based Syst., April, 2023

Boosting unsupervised domain adaptation: A Fourier approach.
Knowl. Based Syst., March, 2023

Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation.
IET Comput. Vis., February, 2023

A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking.
IEEE Trans. Image Process., 2023

BP-triplet net for unsupervised domain adaptation: A Bayesian perspective.
Pattern Recognit., 2023

Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation.
CoRR, 2023

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Interpolation Normalization for Contrast Domain Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Closer Look at Classifier in Adversarial Domain Generalization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
Proceedings of the International Conference on Machine Learning, 2023

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Accelerated Dynamic Renal Phase-Contrast MRI using A Score-based Diffusion Network.
Proceedings of the 10th International Conference on Biomedical and Bioinformatics Engineering, 2023

Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Perception Learning for Distribution Modulation in Siamese Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enhanced Dcf Tracker Regularized by Reliable Sample Construction.
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.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding.
IEEE Trans. Netw. Sci. Eng., 2022

Confidence Regularized Label Propagation Based Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Informative pairs mining based adaptive metric learning for adversarial domain adaptation.
Neural Networks, 2022

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.
CoRR, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.
CoRR, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Implicit Feature Alignment For Knowledge Distillation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Logit Distillation via Student Diversity.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Attention-based Adversarial Partial Domain Adaptation.
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.
Neural Networks, 2021

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Spatio-Temporal Action Detector with Self-Attention.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Focally Discriminative Loss for Unsupervised Domain Adaptation.
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.
Proceedings of the Case-Based Reasoning Research and Development, 2021

2020
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy.
CoRR, 2020

Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models.
BMC Medical Imaging, 2020


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