Zengmao Wang

Orcid: 0000-0002-9326-0316

According to our database¹, Zengmao Wang authored at least 47 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

GaussianGrasper: 3D Language Gaussian Splatting for Open-Vocabulary Robotic Grasping.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., September, 2024

Leveraging spatial residual attention and temporal Markov networks for video action understanding.

[BibT_eX]

[DOI]

Yangyang Xu

Zengmao Wang

Xiaoping Zhang

Neural Networks, January, 2024

Domain Complementary Adaptation by Leveraging Diversity and Discriminability From Multiple Sources.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching.

[BibT_eX]

[DOI]

Boxuan Zhang

Zengmao Wang

Bo Du

IEEE Geosci. Remote. Sens. Lett., 2024

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?

[BibT_eX]

[DOI]

CoRR, 2024

What If the Input is Expanded in OOD Detection?

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification.

[BibT_eX]

[DOI]

CoRR, 2024

SAT3D: Image-driven Semantic Attribute Transfer in 3D.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Temporal Uplift Modeling for Online Marketing.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Cycle Self-Refinement for Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

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

2023

KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain.

[BibT_eX]

[DOI]

Knowl. Based Syst., October, 2023

Active Learning With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification.

[BibT_eX]

[DOI]

Zengmao Wang

Zixi Chen

Bo Du

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Graph-aware collaborative reasoning for click-through rate prediction.

[BibT_eX]

[DOI]

Xin Zhang

Zengmao Wang

Bo Du

World Wide Web (WWW), May, 2023

Coherence-aware context aggregator for fast video object segmentation.

[BibT_eX]

[DOI]

Meng Lan

Jing Zhang

Zengmao Wang

Pattern Recognit., April, 2023

PAENL: personalized attraction enhanced network learning for recommendation.

[BibT_eX]

[DOI]

Yangyang Xu

Zengmao Wang

Jedi S. Shang

Neural Comput. Appl., February, 2023

Unified active and semi-supervised learning for hyperspectral image classification.

[BibT_eX]

[DOI]

Zengmao Wang

Bo Du

GeoInformatica, 2023

2022

Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions.

[BibT_eX]

[DOI]

Xin Zhang

Zengmao Wang

Bo Du

IEEE Trans. Ind. Informatics, 2022

Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation.

[BibT_eX]

[DOI]

Wanyu Xu

Zengmao Wang

Wei Bian

Proceedings of the International Joint Conference on Neural Networks, 2022

CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System.

[BibT_eX]

[DOI]

Xinyu Liu

Zengmao Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Self-paced Supervision for Multi-source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-Guided Network for Fine-Grained Object Localization Using Weakly Supervised Learning.

[BibT_eX]

[DOI]

Xiangyu Qu

Zengmao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Multi-marginal Contrastive Learning for Multilabel Subcellular Protein Localization.

[BibT_eX]

[DOI]

Ziyi Liu

Zengmao Wang

Bo Du

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Joint representation learning with ratings and reviews for recommendation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multistage reaction-diffusion equation network for image super-resolution.

[BibT_eX]

[DOI]

Xiaofeng Pu

Zengmao Wang

IET Image Process., 2021

Multi-subband and Multi-subepoch Time Series Feature Learning for EEG-based Sleep Stage Classification.

[BibT_eX]

[DOI]

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020

Domain Adaptation With Neural Embedding Matching.

[BibT_eX]

[DOI]

Zengmao Wang

Bo Du

Yuhong Guo

IEEE Trans. Neural Networks Learn. Syst., 2020

Bi-adapting kernel learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

On combining active and transfer learning for medical data classification.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

Leveraging Ratings and Reviews with Gating Mechanism for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Class Active Learning by Integrating Uncertainty and Diversity.

[BibT_eX]

[DOI]

IEEE Access, 2018

Matrix completion with Preference Ranking for Top-N Recommendation.

[BibT_eX]

[DOI]

Zengmao Wang

Yuhong Guo

Bo Du

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Exploring Representativeness and Informativeness for Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Multi-class active learning: A hybrid informative and representative criterion inspired approach.

[BibT_eX]

[DOI]

Zengmao Wang

Bo Du

Lefei Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

On Gleaning Knowledge from Multiple Domains for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Batch Mode Active Learning for Geographical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Zengmao Wang

Timeline

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On csauthors.net:

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