Michael Adjeisah's Homepage

About Me

I am currently a Postdoctoral Research Fellow at Zhejiang Normal University (ZJNU). My research interest is broadly in Natural Language Processing (NLP), machine learning, and deep learning. Currently, I am working on machine learning for Graphs representation learning. Methodologies of interest include but are not limited to multi-modal learning, transfer learning, graph neural networks, transformers, feature engineering, self-supervised learning and contrastive learning. I also have an exemplary passion and motivation in multidisciplinary research at the intersection of computer vision and NLP.

Prior to that, I received my Ph.D degree form the School of Computer Science and Technology, Donghua University, under the supervision of Prof. Guohua Liu . In 2016, I obtained my MSC. from the School of Computer Science and Engineering, Lanzhou University.

News

2023-03: Our manuscript, "Localized Simple Multiple Kernel K-means Clustering with matrix induced regularization", has been accepted for publication in the journal, Computational Intelligence and Neuroscience.

2023-02: 1 paper "SCMvL: A Search-based Contrastive Multi-View Learning" is submitted to Proceedings of the Very Large Data Bases (PVLDB).

2022-11: Our paper on Data Augmentation in Graph Neural Network has been accepted by Computer Science Review.

2022-10: 1 paper on Graph Contrastive Multiview Learning: A Pre-Training Framework is submitted to Knowledge-Based Systems.

Publications

	Towards Data Augmentation in Graph Neural Network: An Overview and Evaluation. Michael Adjeisah, Xinzhong Zhu, Huiying Xu, and Tewodros Alemu Ayall Computer Science Review (COSREV)*, 2023 [Paper] [Resources]
	ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis. M. Kamyab, G. Liu, A. Rasool, and Michael Adjeisah* PeerJ Computer Science (PeerJ), 2022 [Paper] [Code]
	Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word Embedding for Sentiment Analysis. Marjan Kamyab,Guohua Liu, and Michael Adjeisah Journals of Applied Sciences, 2021. [Paper] [Code]
	A 3D-2D Convolutional Neural Network and Transfer Learning for Hyperspectral Image Classification Douglas Omwenga Nyabuga, Jinling Song, Guohua Liu,and Michael Adjeisah* Computational Intelligence and Neuroscience, 2022 [Paper]
	Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation. Michael Adjeisah, Guohua Liu, Douglas Omwenga Nyabuga, Richard Nuetey Nortey, and Jinling Song* Computational Intelligence and Neuroscience, 2021 [Paper] [Code]
	Twi Corpus: A Massively Twi-to-Handful Languages Parallel Bible Corpus. Michael Adjeisah, Guohua Liu, Richard Nuetey Nortey, Jinling Song, Khalid Odartey Lamptey, and Felix Nana Frimpong 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (IISPA/BDCloud/SocialCom/SustainCom*), 2020 [Paper] [Code]
	A novel respiration pattern biometric prediction system based on artificial neural network. Rafiu King Raji, Michael Adjeisah, Xuhong Miao, Ailan Wan Sensor Review, 2020 [Paper] [Code]
	Multi-Sensor Information Fusion and Machine Learning for High Accuracy Rate of Mechanical Pedometer in Human Activity Recognition. Michael Adjeisah, Guohua Liu, Douglas Omwenga Nyabuga, and Richard Nuetey Nortey 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (IISPA/BDCloud/SocialCom/SustainCom), 2019 [Paper]
	Consonant Phoneme based Extreme Learning Machine (ELM) Recognition model for Foreign Accent Identification. Kaleem Kashif, Yizhi Wu, Junjie Zhang, and Michael Adjeisah Proceedings of the World Symposium on Software Engineering (WSSE), 2021 [Paper]
	Privacy Module for Distributed Electronic Health Records (EHRs) using the Blockchain. Richard Nuetey Nortey, Li Yue, Promise Ricardo Agdedanu, and Michael Adjeisah 2019 IEEE 4th International Conference on Big Data Analysis(ICBDA), 2019 [Paper]
	Blockchain-Enabled Privacy Security Module for Sharing Electronic Health Records (EHRs). Li Yue, Richard Nuetey Nortey, Michael Adjeisah, Promise Ricardo Agbedanu, Xinyi Lui International Journal of Computer and Communication Engineering (IJCCE), 2019 [Paper]
	A New Approach for Tracking Human Body Movements by the Kinect Sensor Michael Adjeisah, Zhao Chen, Guohua Liu, and Yang Yi IEEE 4th International Conference on Smart and Sustainable City (ICSSC), 2017 [Paper]