Zengmao Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Image Classification

Representative Samples

Manifold Embedding

Domain Adaptation

Top Venues

Publications

Boxuan Zhang, Zengmao Wang, Bo Du
Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo
Cycle Self-Refinement for Multi-Source Domain Adaptation. AAAI (2024)
Long Lan, Fengxiang Wang, Shuyan Li, Xiangtao Zheng, Zengmao Wang, Xinwang Liu
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. CoRR (2024)
Yangyang Xu, Zengmao Wang, Xiaoping Zhang
Leveraging spatial residual attention and temporal Markov networks for video action understanding. Neural Networks 169 (2024)
Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
Temporal Uplift Modeling for Online Marketing. KDD (2024)
Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation. CoRR (2024)
Yapeng Li, Yong Luo, Lefei Zhang, Zengmao Wang, Bo Du
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Chaoyang Zhou, Zengmao Wang, Xiaoping Zhang, Bo Du
Domain Complementary Adaptation by Leveraging Diversity and Discriminability From Multiple Sources. IEEE Trans. Multim. 26 (2024)
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
GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping. CoRR (2024)
Boxuan Zhang, Zengmao Wang, Bo Du
Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching. CoRR (2024)
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
GaussianGrasper: 3D Language Gaussian Splatting for Open-Vocabulary Robotic Grasping. IEEE Robotics Autom. Lett. 9 (9) (2024)
Zengmao Wang, Bo Du
Unified active and semi-supervised learning for hyperspectral image classification. GeoInformatica 27 (1) (2023)
Zengmao Wang, Zixi Chen, Bo Du
Active Learning With Co-Auxiliary Learning and Multi-Level Diversity for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Xin Zhang, Zengmao Wang, Bo Du
Graph-aware collaborative reasoning for click-through rate prediction. World Wide Web (WWW) 26 (3) (2023)
Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. Knowl. Based Syst. 278 (2023)
Yangyang Xu, Zengmao Wang, Jedi S. Shang
PAENL: personalized attraction enhanced network learning for recommendation. Neural Comput. Appl. 35 (5) (2023)
Meng Lan, Jing Zhang, Zengmao Wang
Coherence-aware context aggregator for fast video object segmentation. Pattern Recognit. 136 (2023)
Ziyi Liu, Zengmao Wang, Bo Du
Multi-marginal Contrastive Learning for Multilabel Subcellular Protein Localization. CVPR (2022)
Xiangyu Qu, Zengmao Wang
Self-Guided Network for Fine-Grained Object Localization Using Weakly Supervised Learning. ICME (2022)
Xin Zhang, Zengmao Wang, Bo Du
Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions. IEEE Trans. Ind. Informatics 18 (5) (2022)
Xinyu Liu, Zengmao Wang
CFDA: Collaborative Filtering with Dual Autoencoder for Recommender System. IJCNN (2022)
Wanyu Xu, Zengmao Wang, Wei Bian
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. IJCNN (2022)
Wanyu Xu, Zengmao Wang, Wei Bian
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. CoRR (2022)
Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He
Self-paced Supervision for Multi-source Domain Adaptation. IJCAI (2022)
Zengmao Wang, Bo Du, Weiping Tu, Lefei Zhang, Dacheng Tao
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Panfeng An, Zhiyong Yuan, Jianhui Zhao, Xue Jiang, Zengmao Wang, Bo Du
Multi-subband and Multi-subepoch Time Series Feature Learning for EEG-based Sleep Stage Classification. IJCB (2021)
Zengmao Wang, Haifeng Xia, Shuai Chen, Gang Chun
Joint representation learning with ratings and reviews for recommendation. Neurocomputing 425 (2021)
Xiaofeng Pu, Zengmao Wang
Multistage reaction-diffusion equation network for image super-resolution. IET Image Process. 15 (12) (2021)
Zengmao Wang, Bo Du, Yuhong Guo
Domain Adaptation With Neural Embedding Matching. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Zengmao Wang, Pan Xiao, Weiping Tu, Bo Du, Yanxiang Cheng
Bi-adapting kernel learning for unsupervised domain adaptation. Neurocomputing 398 (2020)
Zengmao Wang, Bo Du, Qian Shi, Weiping Tu
Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16 (7) (2019)
Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Wei Liu, Jialie Shen, Dacheng Tao
Exploring Representativeness and Informativeness for Active Learning. CoRR (2019)
Bo Du, Xinyao Tang, Zengmao Wang, Lefei Zhang, Dacheng Tao
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion. IEEE Trans. Cybern. 49 (4) (2019)
Xinyao Tang, Bo Du, Jianzhong Huang, Zengmao Wang, Lefei Zhang
On combining active and transfer learning for medical data classification. IET Comput. Vis. 13 (2) (2019)
Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun
Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. CIKM (2019)
Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Dacheng Tao
Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion. CoRR (2019)
Xi Fang, Zengmao Wang, Xinyao Tang, Chen Wu
Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach. CoRR (2018)
Zengmao Wang, Xi Fang, Xinyao Tang, Chen Wu
Multi-Class Active Learning by Integrating Uncertainty and Diversity. IEEE Access 6 (2018)
Zengmao Wang, Yuhong Guo, Bo Du
Matrix completion with Preference Ranking for Top-N Recommendation. IJCAI (2018)
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Ruimin Hu, Dacheng Tao
On Gleaning Knowledge from Multiple Domains for Active Learning. IJCAI (2017)
Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Wei Liu, Jialie Shen, Dacheng Tao
Exploring Representativeness and Informativeness for Active Learning. IEEE Trans. Cybern. 47 (1) (2017)
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Xiuping Jia
A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55 (6) (2017)
Zengmao Wang, Bo Du, Lefei Zhang
Multi-class active learning: A hybrid informative and representative criterion inspired approach. IJCNN (2017)
Bo Du, Zengmao Wang, Lefei Zhang, Liangpei Zhang, Dacheng Tao
Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion. IEEE Trans. Image Process. 26 (4) (2017)
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao
Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling. ECCV (3) (2016)
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang
A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification. Neurocomputing 179 (2016)
Zengmao Wang, Bo Du, Lefei Zhang, Wenbin Hu, Dacheng Tao, Liangpei Zhang
Batch Mode Active Learning for Geographical Image Classification. APWeb (2015)