Mengzhu Wang

Orcid: 0000-0002-1059-0441

According to our database¹, Mengzhu Wang authored at least 110 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

Evaluating the predictive value of dynamic contrast-enhanced MRI and six diffusion models for prognostic factors in mass-type invasive ductal carcinoma of the breast.

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[DOI]

BMC Medical Imaging, December, 2026

Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization.

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[DOI]

Int. J. Comput. Vis., May, 2026

Delay-Empowered Causal Hierarchical Reinforcement Learning.

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[DOI]

CoRR, May, 2026

Probability-Guided Contrastive Learning for Long-Tailed Domain Generalization.

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[DOI]

IEEE Trans. Big Data, April, 2026

Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification.

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[DOI]

CoRR, April, 2026

TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering.

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CoRR, April, 2026

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation.

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CoRR, April, 2026

USBD: Universal Structural Basis Distillation for Source-Free Graph Domain Adaptation.

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CoRR, February, 2026

Riemannian Flow Matching for Disentangled Graph Domain Adaptation.

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CoRR, February, 2026

Phrase Grounding-Based Style Transfer for Single-Domain Generalized Object Detection.

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[DOI]

IEEE Trans. Circuits Syst. Video Technol., January, 2026

Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts.

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[DOI]

CoRR, January, 2026

Explainability-Guided Untargeted Attacks on Knowledge Graph Embedding.

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IEEE Trans. Inf. Forensics Secur., 2026

scKAN: Integration of multi-modal single-cell data via adaptive Kolmogorov-Arnold networks.

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[DOI]

Pattern Recognit., 2026

Object style diffusion for generalized object detection in urban scene.

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[DOI]

Pattern Recognit., 2026

D3HRL: A distributed hierarchical reinforcement learning approach based on causal discovery and spurious correlation detection.

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[DOI]

Neural Networks, 2026

Intrinsic divergence, repeatability, and distributional fingerprints of VFA, ME-SE, MDME, and MRF: a comparative evaluation of quantitative T1/T2 relaxometry in phantom and human brain at 3 T.

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[DOI]

NeuroImage, 2026

Diffusion-based Kriging Model with Graph-enhanced Attention.

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Proceedings of the ACM Web Conference 2026, 2026

DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis.

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[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Automated segmentation of esophageal squamous cell carcinoma in contrast-enhanced free-breathing 3D-GRE: a comparative study of UNet, nnUNet, and UMamba for tumor delineation.

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[DOI]

BMC Medical Imaging, December, 2025

DREAM: A Dual Variational Framework for Unsupervised Graph Domain Adaptation.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

FOUND: Fourier-based von Mises Distribution for Robust Single Domain Generalization in Object Detection.

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CoRR, November, 2025

Efficient Linear Attention for Multivariate Time Series Modeling via Entropy Equality.

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CoRR, November, 2025

Separation and Collaboration: Two-Level Routing Grouped Mixture-of-Experts for Multi-Domain Continual Learning.

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CoRR, August, 2025

Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA.

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CoRR, August, 2025

STFormer: Spatial-Temporal-Aware Transformer for Video Instance Segmentation.

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IEEE Trans. Neural Networks Learn. Syst., July, 2025

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization.

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IEEE Trans. Circuits Syst. Video Technol., July, 2025

Machine Learning for Evolutionary Graph Theory.

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CoRR, July, 2025

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation.

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CoRR, May, 2025

HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction.

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IEEE Trans. Neural Networks Learn. Syst., March, 2025

Smooth-Guided Implicit Data Augmentation for Domain Generalization.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation.

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[DOI]

CoRR, March, 2025

Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification.

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IEEE Trans. Image Process., 2025

Coupling Category Alignment for Graph Domain Adaptation.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Gaussian Mixture Model for Graph Domain Adaptation.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

In-Context Meta LoRA Generation.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation.

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

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Proceedings of the Forty-second International Conference on Machine Learning, 2025

Pano3R: Training Free Panoramic 3D Reconstruction.

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[DOI]

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

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

TFC: Transformer Fused Convolution for Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

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

Joint Adversarial Domain Adaptation With Structural Graph Alignment.

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IEEE Trans. Netw. Sci. Eng., 2024

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

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[DOI]

IEEE Trans. Image Process., 2024

A Portable and Highly Integrated Solid-State Quantum Magnetometer Module Based on the Diamond NV Color Centers.

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IEEE Trans. Instrum. Meas., 2024

Equity in Unsupervised Domain Adaptation by Nuclear Norm Maximization.

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IEEE Trans. Circuits Syst. Video Technol., 2024

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

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[DOI]

Neurocomputing, 2024

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.

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CoRR, 2024

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

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CoRR, 2024

DiM: <i>f</i>-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation.

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CoRR, 2024

Degree Distribution based Spiking Graph Networks for Domain Adaptation.

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CoRR, 2024

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

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CoRR, 2024

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

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CoRR, 2024

Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation.

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CoRR, 2024

Continuous Spiking Graph Neural Networks.

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[DOI]

Nan Yin

Mengzhu Wang

Li Shen

Hitesh Laxmichand Patel

Baopu Li

Bin Gu

Huan Xiong

CoRR, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SBM: Smoothness-Based Minimization for Domain Generalization.

[BibT_eX]

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Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Graph Contrastive Learning via Adaptive Positive Sampling.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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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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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Appl. Intell., June, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., May, 2023

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

[BibT_eX]

[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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[DOI]

IET Comput. Vis., February, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

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

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Pattern Recognit., 2023

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

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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.

[BibT_eX]

[DOI]

Mengzhu Wang

Jianlong Yuan

Zhibin Wang

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

Interpolation Normalization for Contrast Domain Generalization.

[BibT_eX]

[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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[DOI]

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

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Perception Learning for Distribution Modulation in Siamese Tracking.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Enhanced Dcf Tracker Regularized by Reliable Sample Construction.

[BibT_eX]

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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.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

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

[BibT_eX]

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Neural Networks, 2022

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.

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[DOI]

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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[DOI]

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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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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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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