Google Scholar Homepage: https://scholar.google.com/citations?user=qTQj_I4AAAAJ&hl=zh-CN

Publications:

1. Zequn Zeng, Hao Zhang, Zhengjue Wang, Ruiying Lu, Dongsheng Wang, Bo Chen, "ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
2. Ziheng Cheng, Bo Chen, Ruiying Lu, Zhengjue Wang, Hao Zhang, Ziyi Meng, and Xin Yuan, "Recurrent Neural Networks for Snapshot Compressive Imaging," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 2, pp.2264-2281, 2023.
3. Hao Zhang, Yulai Cong, Zhengjue Wang*, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, and Lawrence Carin, "Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), early access, 2022.
4. Hao Zhang, Long Tian, Zhengjue Wang*, Yishi Xu, Pengyu Cheng, Ke Bai, and Bo Chen, "Mutiscale Visual-attribute Co-attention for Zero-shot Image Recognition", IEEE Transactions on Neural Networks and Learning Systems (TNNLS)，early access, 2021.
5. Hao Zhang, Chaojie Wang, Zhengjue Wang*, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, and Lawrence Carin, "Learning Hierarchical Document Graphs From Multilevel Sentence Relations", IEEE Transactions on Neural Networks and Learning Systems (TNNLS)，early access, 2021.
6. Zhibin Duan, Hao Zhang, Chaojie Wang, Zhengjue Wang, Bo Chen, and Mingyuan Zhou, "EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering", The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL), 2021.
7. Chaojie Wang, Bo Chen, Sucheng Xiao, Zhengjue Wang, Hao Zhang, Penghui Wang, Ning Han, and Mingyuan Zhou, "Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data", IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 10, pp. 11156-11171, 2022.
8. Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, and Xin Yuan, "Metasci: Scalable and adaptive reconstruction for video compressive sensing", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
9. Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, and Xin Yuan, "Memory-efficient Network for Large-scale Video Compressive Sensing", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
10. Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, and Xin Yuan, "BIRNAT: Bidirectional Recurrent Neural Networks With Adversarial Training for Video Snapshot Compressive Imaging", European Conference on Computer Vision (ECCV), 2020.
11. Zhengjue Wang, Bo Chen, Hao Zhang, and Hongwei Liu, "Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 2, pp. 721-735, 2022.
12. Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, and Mingyuan Zhou, "Friendly Topic Assistant for Transformer Based Abstractive Summarization", The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
13. Wei Wen, Bo Chen, Xuefei Cao, Xuefeng Zhang, Zhengjue Wang, and Hongwei Liu, "Infinite Bayesian Max-Margin Discriminant Projection", IEEE Transactions on Cybernetics (TCYB), vol. 52, no. 5, pp. 3936-3946, 2022.
14. Zhengjue Wang, Bo Chen, Ruiying Lu, Hao Zhang, Hongwei Liu, and Pramod K Varshney, "FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion", IEEE Transactions on Image Processing (TIP), vol. 29, pp. 7565-7577, 2020.
15. Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, and Bo Chen, "Learning Dynamic Hierarchical Topic Graph With Graph Convolutional Network for Document Classification", International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
16. Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, and Mingyuan Zhou, "Deep relational topic modeling via graph poisson gamma belief network", Advances in Neural Information Processing Systems (NeurIPS), 2020.
17. Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, and Mingyuan Zhou, "Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling", International Conference on Learning Representations (ICLR), 2020.
18. Zhengjue Wang, Bo Chen, Hao Zhang, and Hongwei Liu, "Variational Probabilistic Generative Framework for Single Image Super-resolution", Signal Processing, vol. 156, pp.91-105, 2019.
19. Hao Zhang, Bo Chen, Zhengjue Wang, and Hongwei Liu, "Deep max-margin discriminant projection", IEEE Transactions on Cybernetics (TCYB), vol. 49, no. 7, pp.2454-2466, 2019.
20. Zhengjue Wang, Yinghua Wang, Hongwei Liu, and Hao Zhang, "Structured kernel dictionary learning with correlation constraint for object recognition", IEEE Transactions on Image Processing (TIP), vol. 26, no. 9, pp. 4578-4590, 2017.
21. Ying Zhai, Bo Chen, Hao Zhang, and Zhengjue Wang, "Robust Variational Auto-encoder for Radar HRRP Target Recognition", Intelligence Science and Big Data Engineering: 7th International Conference, IScIDE 2017, Dalian, China, 2017.