Min Zeng
Orcid: 0000-0002-1726-0955
According to our database1,
Min Zeng
authored at least 98 papers
between 1998 and 2024.
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Bibliography
2024
Research on time series change point detection and influencing factors under machine learning: based on PM2.5 concentration data in Hefei city.
Earth Sci. Informatics, February, 2024
Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation.
Remote. Sens., January, 2024
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency.
CoRR, 2024
2023
Effects of collaborative filtering-based peer recommendation mechanism on in-service teachers' learning performance, knowledge construction, and social network during online training.
J. Comput. Assist. Learn., December, 2023
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.
Bioinform., December, 2023
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.
J. Biomed. Informatics, June, 2023
Land Subsidence in a Coastal City Based on SBAS-InSAR Monitoring: A Case Study of Zhuhai, China.
Remote. Sens., May, 2023
Briefings Bioinform., May, 2023
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation.
Neural Networks, March, 2023
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning.
Bioinform., January, 2023
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features.
Briefings Bioinform., January, 2023
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network.
Briefings Bioinform., January, 2023
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.
Briefings Bioinform., January, 2023
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Robust Model Predictive Control of a Lower Limb Exoskeleton Robot with Suspension Gravity-Assist Using Deep Neural Network.
Proceedings of the IEEE International Conference on Development and Learning, 2023
Motion Prediction Based on sEMG- Transformer for Lower Limb Exoskeleton Robot Control.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023
Protein function prediction using graph neural network with multi-type biological knowledge.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
A Joint Cluster Formation Scheme With Multilayer Awareness for Energy-Harvesting Supported D2D Multicast Communication.
IEEE Trans. Wirel. Commun., 2022
IEEE J. Biomed. Health Informatics, 2022
Some Upper Bounds and Exact Values on Linear Complexities Over F<sub>M</sub> of Sidelnikov Sequences for M = 2 and 3.
IEEE Trans. Inf. Theory, 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
J. Intell. Fuzzy Syst., 2022
Neurocomputing, 2022
A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks.
Neurocomputing, 2022
CoRR, 2022
Comput. Chem. Eng., 2022
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
Briefings Bioinform., 2022
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.
Briefings Bioinform., 2022
Adv. Intell. Syst., 2022
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022
A Learning-based Noise Tracking Method of Adaptive Kalman Filter for UAV Positioning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
New Insights into the Pulang Porphyry Copper Deposit in Southwest China: Indication of Alteration Minerals Detected Using ASTER and WorldView-3 Data.
Remote. Sens., 2021
Neurocomputing, 2021
CoRR, 2021
Comput. Networks, 2021
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks.
Bioinform., 2021
Utilizing VANETs as supplementary communication infrastructure for delay-tolerant bulky data transportation.
Ad Hoc Networks, 2021
Improving human essential protein prediction using only protein sequences via ensemble learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Energy-Efficient Time-Domain Equilibrium Scheduling and Optimization Scheme for Energy Harvesting-Powered D2D Communication.
J. Sensors, 2020
BMC Bioinform., 2020
Protein-protein interaction site prediction through combining local and global features with deep neural networks.
Bioinform., 2020
Briefings Bioinform., 2020
Asia Pac. J. Oper. Res., 2020
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost.
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020
Energy-Efficient Resource Allocation for WPT-Based D2D Communication Underlaying Cellular Network.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Spectrum-Efficient Resource Allocation in Multi-Radio Multi-Hop Cognitive Radio Networks.
Sensors, 2019
DIPS: Dual-Interface Dual-Pipeline Scheduling for Energy-Efficient Multihop Communications in IoT.
IEEE Internet Things J., 2019
Learning to Tradeoff Between Energy Efficiency and Delay in Energy Harvesting-Powered D2D Communication: A Distributed Experience-Sharing Algorithm.
IEEE Internet Things J., 2019
BMC Bioinform., 2019
Energy Efficient Resource Allocation for Wireless Power Transfer-Supported D2D Communication With Battery.
IEEE Access, 2019
Transmission Capacity Analysis for Underlay Relay-Assisted Energy Harvesting Cognitive Sensor Networks.
IEEE Access, 2019
The FM-linear Complexity of M-ary Sidel'nikov Sequences of Period p - 1 = f • M<sup>λ</sup>.
Proceedings of the IEEE International Symposium on Information Theory, 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Mapping Lithologic Components of Ophiolitic Mélanges Based on ASTER Spectral Analysis: A Case Study from the Bangong-Nujiang Suture Zone (Tibet, China).
ISPRS Int. J. Geo Inf., 2018
A cross-interface design for energy-efficient and delay-bounded multi-hop communications in IoT.
Ad Hoc Networks, 2018
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2015
Des. Codes Cryptogr., 2015
2014
A Construction of Long-Period Sequences Based on Lightweight Generation and High Probability.
IEEE Trans. Commun., 2014
New binary sequences with good correlation based on high-order difference and interleaving techniques.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the IIAI 3rd International Conference on Advanced Applied Informatics, 2014
2013
Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013
2012
Adaboosting-based dynamic weighted combination of software reliability growth models.
Qual. Reliab. Eng. Int., 2012
A Non-Parametric Software Reliability Modeling Approach by Using Gene Expression Programming.
J. Inf. Sci. Eng., 2012
Rotating-table game and construction of periodic sequences with lightweight calculation.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of IEEE International Conference on Communications, 2012
Proceedings of the Semantic Web and Web Science, 2012
2011
Improving Safety and Stability of Large Containerships in Automated Stowage Planning.
IEEE Syst. J., 2011
Regional carrying capacity evaluation and prediction based on GIS in the Yangtze River Delta, China.
Int. J. Geogr. Inf. Sci., 2011
Randomized Algorithm with Tabu Search for Multi-Objective Optimization of Large Containership Stowage Plans.
Proceedings of the Computational Logistics - Second International Conference, 2011
2010
Automated stowage planning for large containerships with improved safety and stability.
Proceedings of the 2010 Winter Simulation Conference, 2010
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
2009
IEICE Electron. Express, 2009
2007
Integrating High Quality Digital Science Popularization Resources in the Society to Establish the Shared Platform of National Science Popularization Resources - The Science and Technology Museum of China.
Data Sci. J., 2007
2002
A new method for fMRI data processing: Neighborhood independent component correlation algorithm and its preliminary application.
Sci. China Ser. F Inf. Sci., 2002
1998
Numer. Linear Algebra Appl., 1998