Research Output

Publications

This part could be a few paragraphs of description, or could be described separately in sections, such as:

1. Inter-feature Relationship Certifies Robust Generalization of Adversarial Training. Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Bin Gu, Huan Xiong, Xinping Yi; International Journal of Computer Vision, 2024
2. SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection. Jianan Ye, Yijie Hu, Xi Yang, Qiufeng Wang, Chao Huang, Kaizhu Huang; Pattern Recognition, 2024
3. Scene Text Recognition via Dual-Path Network with Shape-Driven Attention Alignment. Yijie Hu, Bin Dong, Kaizhu Huang, Lei Ding, Wei Wang, Xiaowei Huang, Qiufeng Wang; ACM Transactions on Multimedia Computing, Communications and Applications, 2024
4. Towards Better Long-Tailed Oracle Character Recognition with Adversarial Data Augmentation. Jing Li, Qiufeng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Y. Goulermas; Pattern Recognition, 2023
5. Continuous Image Outpainting with Neural ODE. Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang; ACM Transactions on Multimedia Computing, Communications and Applications, 2024
6. EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Y. Goulermas, Kaizhu Huang; IEEE Transactions on Cybernetics, 2024
7. Rebalanced Zero-Shot Learning. Zihan Ye, Guanyu Yang, Xiaobo Jin, Youfa Liu, Kaizhu Huang; IEEE Transactions on Image Processing, 2023
8. Robust Generative Adversarial Network. Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu; Machine Learning, 2023
9. Generalized image outpainting with U-transformer. Penglei Gao, Xi Yang, Rui Zhang, John Y.Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang; Neural Network, 2023
10. Revisiting 3D Point Cloud Analysis with Markov Process. Chenru Jiang, Wuwei Ma, Kaizhu Huang, Qiufeng Wang, Xi Yang, Weiguang Zhao, Junwei Wu, Xinheng Wang, Jimin Xiao, Zhenxing Niu; Pattern Recognition, 2025
11. Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. Zixian, Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang; IEEE Journal of Biomedical and Health Informatics, 2023
12. Semantic Similarity Distance: Towards Better Text-Image Consistency Metric in Text-to-Image Generation. Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang; Pattern Recognition, 2023
13. Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Yannis Goulermas, Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-step Time Series Prediction , IEEE Transactions on Knowledge and Data Engineering, 2022.
14. Yangfan Zhou, Kaizhu Huang, Cheng, Cheng; Wang, Xuguang; Hussain, Amir; Liu, Xin, FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity , IEEE Transactions on Neural Networks and Learning Systems, 2022.
15. Xiao-Bo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang, Sparse Matrix Factorization with L21 Norm for Matrix Completion, Pattern Recognition, 2022.
16. Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Kaizhu Huang,Shan Luo, Yao Zhao, End-to-End Weakly Supervised Semantic Segmentation with Reliable Region Mining, Pattern Recognition, 2022.
17. Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang, Disentangling Semantic-to-visual Confusion for Zero-shot Learning, IEEE Transactions on Multimedia 2022.
18. Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation, IEEE Journal of Biomedical and Health Informatics, 2022.
19. Shufei Zhang, Kaizhu Huang, Zenglin Xu, Re-thinking Model Robustness from Stability: A New Insight to Defend Adversarial Examples, Machine Learning, 2022
20. Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Yannis Goulermas, Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-step Time Series Prediction , IEEE Transactions on Knowledge and Data Engineering, 2022.
21. Yangfan Zhou, Kaizhu Huang, Cheng, Cheng; Wang, Xuguang; Hussain, Amir; Liu, Xin, FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity , IEEE Transactions on Neural Networks and Learning Systems, 2022.
22. Qi Chen, Wei Wang, Kaizhu Huang, Frans Coenen, Zero-shot Text Classification via Knowledge Graph Embedding for Social Media Data, IEEE Internet of Things Journal, 2021.
23. Dong, Hang; Wang, Wei; Huang, Kaizhu; Coenen, Frans Automated Social Text Annotation with Joint Multi-Label Attention Networks, IEEE Transactions on Neural Networks and Learning Systems, 32(5), 2224-2238, 2021.
24. Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, A Hussain, Improving generative adversarial networks with simple latent distributions, Neural Computing and Applications, 1-11,2021.
25. Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu, Manifold Adversarial Training for Supervised and Semi-supervised Learning, Neural Networks, 2020.
26. Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang, Generative Adversarial Classifier for Handwriting Characters Super-Resolution, Pattern Recognition, 107: 107453, 2020.
27. Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain, Pattern Field Classification Using Deep Neural Networks, Neural Networks, 127: 82-95, 2020.
28. Summrina Kanwal Wajid, Amir Hussain, Kaizhu Huang, Novel Artificial Immune Networks-based Optimization of Shallow Machine Learning (ML) Classifiers, Expert Systems with Applications, 2020.
29. Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, and Amir Hussain, Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning, Neural Networks, 129: 163-173,2020.
30. Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen, Knowledge Base Enrichment by Relation Learning from Social Tagging Data, Information Sciences, 526: 203-220, 2020.
31. Guoqiang Zhong, Yang Chen, Kaizhu Huang, Generative Adversarial Networks with Decoder-Encoder Output Noises, Neural Networks,127: 19-28, 2020.
32. Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao, Correlation Filter Selection for Visual Tracking Using Reinforcement Learning, IEEE Transactions on Circuits and Systems for Video Technology, 30(1): 192-204, 2020.
33. Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang: Generative adversarial networks with mixture of t-distributions noise for diverse image generation. Neural Networks,122: 374-381, 2020

Projects

• Qiufeng Wang, Mathematical Reasoning Based on Neural-Symbolic System, National Natural Science Foundation of China (NSFC) Key Programme, 1/01/25?¨C?31/12/29
• Kaizhu Huang, Xi Yang, Guanyu Yang, Haochuan Jiang, Generalization analysis for open domain adaptation based on vicinal risk minimization, National Natural Science Foundation of China (NSFC) Major Research Plan Programme, 1/01/24 ¨C 31/12/26
• Jimin Xiao, Research on Key Technologies for Small Sample Industrial Visual Inspection, Suzhou Science and Technology Development Planning Programme: Basic Research Programme – Leading Edge Technology Research, 1/11/23?¨C?31/12/26
• Xi Yang, VAE-based Unsupervised Representation Learning Theory and Applicarions, National Natural Science Foundation of China (NSFC) Young Scientists Fund, 1/01/23?¨C?31/12/25
• Qiufeng Wang, 2022.3 ¨C 2023.4, Research and Development of Pre-training Algorithm for Information Extraction from Image and Text, Ricoh Software Research Center (Beijing).
• Jia Wang, Qiufeng Wang, 2021.10 ¨C 2026.5, Semiconductor defect detection based on complex system big data and machine vision: methods and research, AI Empowerment Tech. Inc.
• Huang, Kaizhu, Qiufeng Wang,2020-2024, Intelligent Object Detection and Segmentation with High-Density 3D Point Cloud Data, Natural Science Foundation of Jiangsu Province ¨C Key Research and Development Programme.
• Huang, Kaizhu, 2019-2022, Principal Investigator, Investigation of Classifier Design Based on Adversarial Learning, NSFC General Program.
• Qiufeng Wang, 2019 ¨C 2022, PI, Investigation on integrating internet texts in document recognition, NSFC-general programme.
• Huang, Kaizhu 2015-2018, Principal Investigator, Cross-domain and Collective Pattern Classification Theory and Applications, NSFC General Program
• Huang, Kaizhu 2013-2016, Co-PI, Theory and Key techniques for perturbation based character recognition, NSFC General Program
• Huang, Kaizhu 2011-2013, Principal Investigator, Sparse Metric Learning for complicated data, NSFC General Program
• Huang, Kaizhu 2012-2016, Principal Investigator, Large-scale metric learning for public security, National 973 Sub-task
• Qiufeng Wang, Study on linguistic context in document recognition, CCF- Tencent Fund, 2018.09¨C2019.08.
• Xiaobo Jin, U1804326 (NSFC), Research on Learning to Rank Algorithm in Commodity Search
• Xiaobo Jin, 61103138 (NSFC), Learning to Rank on Webpages under Web Spam Situation

Patents

Research awards

• Best Student Paper Award, 2022 International Conference on Machine Vision and Information Technology
• Best Paper Runner-up Award, 2020 International Conference on Neural Information Processing (ICONIP 2020)
• Best Paper Award, 2019 International Conference on Brain Inspired Cognitive Systems (BICS 2019)
• Best Student Paper Award, 2019 International Conference on Brain Inspired Cognitive Systems (BICS 2019)
• Best Student Paper Award, 2019 International Conference on Brain Inspired Cognitive Systems (BICS 2019)Best Paper Runner-up Award, 2017 International Conference on Neural Information Processing (ICONIP 2017)