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.
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.
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.
Zihan Ye, Fuyuan Hu, Fan Lyu, Linyan Li, Kaizhu Huang, Disentangling Semantic-to-visual Confusion for Zero-shot Learning, IEEE Transactions on Multimedia 2022.
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.
Shufei Zhang, Kaizhu Huang, Zenglin Xu, Re-thinking Model Robustness from Stability: A New Insight to Defend Adversarial Examples, Machine Learning, 2022
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.
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.
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.
Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu, Manifold Adversarial Training for Supervised and Semi-supervised Learning, Neural Networks, 2020.
Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain, Pattern Field Classification Using Deep Neural Networks, Neural Networks, 127: 82-95, 2020.
Summrina Kanwal Wajid, Amir Hussain, Kaizhu Huang, Novel Artificial Immune Networks-based Optimization of Shallow Machine Learning (ML) Classifiers, Expert Systems with Applications, 2020.
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.
Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen, Knowledge Base Enrichment by Relation Learning from Social Tagging Data, Information Sciences, 526: 203-220, 2020.
Guoqiang Zhong, Yang Chen, Kaizhu Huang, Generative Adversarial Networks with Decoder-Encoder Output Noises, Neural Networks,127: 19-28, 2020.
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.
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
Ye Ma, Zixun Lan, Lu Zong, Kaizhu Huang, Global-aware Beam Search for Neural Abstractive Summarization, Neural Information Processing Systems (NeurIPS), 2021.
Liuqing Zhao, Fan Lyu, Fuyuan Hu, Fenglei Xu, Kaizhu Huang, Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing, British Machine Vision Conference (BMVC), 2021.
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong, Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation, International Conference on Computer Vision (ICCV), 2021.
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi, Towards Better Robust Generalization with Shift Consistency Regularization, International Conference on Machine Learning (ICML), 2021.
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Henry Wang and Jimin Xiao, Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pretraining, ACM Multimedia (ACM MM), 2020.
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Goulermas and Amir Hussain, Inductive Generalized Zero-shot Learning with Adversarial Relation Network, European Conference on Machine Learning (ECML), 2020.
Yanchun Xie, Jimin XIAO, Mingjie Sun, Chao Yao, Kaizhu Huang, Matching Representations Matters: End-to-End Learning for Neural Texture Transfer, European Conference on Computer Vision (ECCV), 2020.
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng, Towards Better Forecasting by Fusing Near and Distant Future Visions, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang, Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
Qiufeng Wang, 2022.3 – 2023.4, Research and Development of Pre-training Algorithm for Information Extraction from Image and Text, Ricoh Software Research Center (Beijing). 300K
Jia Wang, Qiufeng Wang, 2021.10 – 2026.5, Semiconductor defect detection based on complex system big data and machine vision: methods and research, AI Empowerment Tech. Inc, 500K
Huang, Kaizhu, Qiufeng Wang,2020-2024, Intelligent Object Detection and Segmentation with High-Density 3D Point Cloud Data, Natural Science Foundation of Jiangsu Province – Key Research and Development Programme, 1.8M
Huang, Kaizhu, 2019-2022, Principal Investigator, Investigation of Classifier Design Based on Adversarial Learning, NSFC General Program， 620K
Qiufeng Wang, 2019 – 2022, PI, Investigation on integrating internet texts in document recognition, NSFC-general programme，620K.
Huang, Kaizhu 2015-2018, Principal Investigator, 1125K, Cross-domain and Collective Pattern Classification Theory and Applications, NSFC General Program
Huang, Kaizhu 2013-2016, Co-PI, 740K, Theory and Key techniques for perturbation based character recognition, NSFC General Program
Huang, Kaizhu 2011-2013, Principal Investigator, 340K, Sparse Metric Learning for complicated data, NSFC General Program
Huang, Kaizhu 2012-2016, Principal Investigator, 940K, Large-scale metric learning for public security, National 973 Sub-task
Qiufeng Wang, Study on linguistic context in document recognition, CCF- Tencent Fund, 2018.09–2019.08, 150K
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
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)