Zengmao Wang

According to our database, Zengmao Wang authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yuhang Zheng, Xiangyu Chen, Yupeng Zheng, Songen Gu, Runyi Yang, Bu Jin, Pengfei Li, Chengliang Zhong, Zengmao Wang, Lina Liu, Chao Yang, Dawei Wang, Zhen Chen, Xiaoxiao Long, Meiqing Wang

IEEE Robotics Autom. Lett., September, 2024

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

Yangyang Xu, Zengmao Wang, Xiaoping Zhang

Neural Networks, January, 2024

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

Chaoyang Zhou, Zengmao Wang, Xiaoping Zhang, Bo Du

IEEE Trans. Multim., 2024

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification.

Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du

IEEE Trans. Geosci. Remote. Sens., 2024

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

Boxuan Zhang, Zengmao Wang, Bo Du

IEEE Geosci. Remote. Sens. Lett., 2024

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

Long Lan, Fengxiang Wang, Shuyan Li, Xiangtao Zheng, Zengmao Wang, Xinwang Liu

CoRR, 2024

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

Zhijun Zhai, Zengmao Wang, Xiaoxiao Long, Kaixuan Zhou, Bo Du

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

Temporal Uplift Modeling for Online Marketing.

Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan

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.

Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du

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.

Yapeng Li, Yong Luo, Zengmao Wang, Bo Du

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

Cycle Self-Refinement for Multi-Source Domain Adaptation.

Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo

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.

Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du

Knowl. Based Syst., October, 2023

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

Zengmao Wang, Zixi Chen, Bo Du

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

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

Xin Zhang, Zengmao Wang, Bo Du

World Wide Web (WWW), May, 2023

Coherence-aware context aggregator for fast video object segmentation.

Meng Lan, Jing Zhang, Zengmao Wang

Pattern Recognit., April, 2023

PAENL: personalized attraction enhanced network learning for recommendation.

Yangyang Xu, Zengmao Wang, Jedi S. Shang

Neural Comput. Appl., February, 2023

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

Zengmao Wang, Bo Du

GeoInformatica, 2023

2022

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

Xin Zhang, Zengmao Wang, Bo Du

IEEE Trans. Ind. Informatics, 2022

Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation.

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.

Xinyu Liu, Zengmao Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Self-paced Supervision for Multi-source Domain Adaptation.

Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He

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

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

Xiangyu Qu, Zengmao Wang

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

Multi-marginal Contrastive Learning for Multilabel Subcellular Protein Localization.

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.

Zengmao Wang, Bo Du, Weiping Tu, Lefei Zhang, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2021

Joint representation learning with ratings and reviews for recommendation.

Zengmao Wang, Haifeng Xia, Shuai Chen, Gang Chun

Neurocomputing, 2021

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

Xiaofeng Pu, Zengmao Wang

IET Image Process., 2021

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

Panfeng An, Zhiyong Yuan, Jianhui Zhao, Xue Jiang, Zengmao Wang, Bo Du

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020

Domain Adaptation With Neural Embedding Matching.

Zengmao Wang, Bo Du, Yuhong Guo

IEEE Trans. Neural Networks Learn. Syst., 2020

Bi-adapting kernel learning for unsupervised domain adaptation.

Zengmao Wang, Pan Xiao, Weiping Tu, Bo Du, Yanxiang Cheng

Neurocomputing, 2020

2019

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

Bo Du, Xinyao Tang, Zengmao Wang, Lefei Zhang, Dacheng Tao

IEEE Trans. Cybern., 2019

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

Zengmao Wang, Bo Du, Qian Shi, Weiping Tu

IEEE Geosci. Remote. Sens. Lett., 2019

On combining active and transfer learning for medical data classification.

Xinyao Tang, Bo Du, Jianzhong Huang, Zengmao Wang, Lefei Zhang

IET Comput. Vis., 2019

Leveraging Ratings and Reviews with Gating Mechanism for Recommendation.

Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun

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.

Xi Fang, Zengmao Wang, Xinyao Tang, Chen Wu

CoRR, 2018

Multi-Class Active Learning by Integrating Uncertainty and Diversity.

Zengmao Wang, Xi Fang, Xinyao Tang, Chen Wu

IEEE Access, 2018

Matrix completion with Preference Ranking for Top-N Recommendation.

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.

Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Dacheng Tao

IEEE Trans. Image Process., 2017

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

Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Xiuping Jia

IEEE Trans. Geosci. Remote. Sens., 2017

Exploring Representativeness and Informativeness for Active Learning.

Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Wei Liu, Jialie Shen, Dacheng Tao

IEEE Trans. Cybern., 2017

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

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.

Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao

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.

Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang

Neurocomputing, 2016

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

Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Batch Mode Active Learning for Geographical Image Classification.

Zengmao Wang, Bo Du, Lefei Zhang, Wenbin Hu, Dacheng Tao, Liangpei Zhang

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