Man Wu

Orcid: 0000-0002-8459-2028

According to our database1, Man Wu authored at least 55 papers between 2015 and 2024.

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Bibliography

2024
Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks.
Appl. Intell., August, 2024

Quantitative evaluation of molecular generation performance of graph-based GANs.
Softw. Qual. J., June, 2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR, 2024

2023
Exploring the Effects of Interruptions in Different Phases of Complex Decision-Making Tasks.
Hum. Factors, May, 2023

Multi-branch selection fusion fine-grained classification algorithm based on coordinate attention localization.
AI Commun., 2023

Training Low-Latency Spiking Neural Network with Orthogonal Spiking Neurons.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

Beibu Gulf Marine Ranch: Utilizing BeiDou Grid Code and Multi-system Integration for Modernized Management and Monitoring.
Proceedings of the Applied Intelligence - First International Conference, 2023

UUV Fault Diagnosis Model Based on Support Vector Machine.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug Design.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

MuGRA: A Scalable Multi-Grained Reconfigurable Accelerator Powered by Elastic Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals.
Entropy, 2022

Rationalizing Denominators Using Gröbner Bases.
Complex., 2022

GAND-Nets: Training Deep Spiking Neural Networks with Ternary Weights.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Insulator Fault Diagnosis Based on Improved Transfer Learning from UAV Images.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

ONLAD-IDS: ONLAD-Based Intrusion Detection System Using SmartNIC.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Learning Local Representation by Gradient-Isolated Memorizing of Spiking Neural Network.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Exploring the Feasibility of Transformer Based Models on Question Relatedness.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Online Communication for Team Creativity in Tech Companies: Barriers and Tool Design.
Proceedings of the Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness, 2022

SS-LRU: a smart segmented LRU caching.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Temporal Adaptive Aggregation Network for Dynamic Graph Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes.
ACM Trans. Knowl. Discov. Data, 2021

An Attribute-Based Access Control Policy Retrieval Method Based on Binary Sequence.
Secur. Commun. Networks, 2021

Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data.
New Gener. Comput., 2021

OpenWGL: open-world graph learning for unseen class node classification.
Knowl. Inf. Syst., 2021

DiaNet: An elastic neural network for effectively re-configurable implementation.
Neurocomputing, 2021

Progressive low-rank subspace alignment based on semi-supervised joint domain adaption for personalized emotion recognition.
Neurocomputing, 2021

A Survey of Routing Protocols for Underwater Wireless Sensor Networks.
IEEE Commun. Surv. Tutorials, 2021

Some Further Results on the Reduction of Two-Dimensional Systems.
Complex., 2021

Dynamic Hand Gesture Recognition via Electromyographic Signal Based on Convolutional Neural Network.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

An Intelligent Fault Location Algorithm of High Voltage Lines Using Cascading Deep Network.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

Automatic Defect Recognition Method of Aluminium Profile Surface Defects.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

Understanding the Acceptance of Robo-Advisors: Towards a Hierarchical Model Integrated Product Features and User Perceptions.
Proceedings of the Human Aspects of IT for the Aged Population. Technology Design and Acceptance, 2021

2020
A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs.
Sensors, 2020

An Improved Unscented Particle Filter Approach for Multi-Sensor Fusion Target Tracking.
Sensors, 2020

Influence of Native Video Advertisement Duration and Key Elements on Advertising Effectiveness in Mobile Feeds.
Mob. Inf. Syst., 2020

Using Live Video Streaming in Online Tutoring: Exploring Factors Affecting Social Interaction.
Int. J. Hum. Comput. Interact., 2020

Unsupervised Domain Adaptive Graph Convolutional Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

An Elastic Neural Network Toward Multi-Grained Re-configurable Accelerator.
Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

A Multi-grained Reconfigurable Accelerator for Approximate Computing.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

OpenWGL: Open-World Graph Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Improved Cubature Kalman Filter for Target Tracking in Underwater Wireless Sensor Networks.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Domain-Adversarial Graph Neural Networks for Text Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Using Psychophysiological Techniques to Evaluate User Experience of Touchscreen Protectors.
Proceedings of the Cross-Cultural Design. Methods, Tools and User Experience, 2019

An Optimal Bit Allocation Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks.
Proceedings of the 22th International Conference on Information Fusion, 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning.
Soft Comput., 2018

Revisting the Impact of Regression Models for Predicting the Number of Defects.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

The Influence of Culture on Vigilance Performance and Subjective Experience.
Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2018

2017
Combing Data Filter and Data Sampling for Cross-Company Defect Prediction: An Empricial Study.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

A Reinforced Hungarian Algorithm for Task Allocation in Global Software Development.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016
Exploration of Smart Phone Knowledge Management Application Design for Nomadic Maintenance Workers.
Proceedings of the Cross-Cultural Design, 2016

2015
ACO-OFDM-Specified Recoverable Upper Clipping With Efficient Detection for Optical Wireless Communications.
CoRR, 2015


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