Tao Zhu
Orcid: 0000-0002-5879-5980Affiliations:
- University of South China, School of Computer Science, Hengyang, China
According to our database1,
Tao Zhu
authored at least 63 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
IEEE Internet Things J., September, 2024
PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition.
Clust. Comput., August, 2024
IEEE J. Biomed. Health Informatics, May, 2024
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs.
CoRR, 2024
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations.
CoRR, 2024
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU.
CoRR, 2024
HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM.
CoRR, 2024
P2LHAP: Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer.
CoRR, 2024
CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors.
Proceedings of the Intelligent Information Processing XII, 2024
Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial.
Proceedings of the Intelligent Information Processing XII, 2024
Proceedings of the Intelligent Information Processing XII, 2024
Proceedings of the Intelligent Information Processing XII, 2024
2023
More Reliable Neighborhood Contrastive Learning for Novel Class Discovery in Sensor-Based Human Activity Recognition.
Sensors, December, 2023
A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark.
Entropy, February, 2023
A Multitask Deep Learning Approach for Sensor-Based Human Activity Recognition and Segmentation.
IEEE Trans. Instrum. Meas., 2023
NURBS Interpolator with Minimum Feedrate Fluctuation Based on Two-Level Parameter Compensation.
Sensors, 2023
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition.
IEEE Internet Things J., 2023
An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition.
CoRR, 2023
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation.
CoRR, 2023
IEEE Access, 2023
Brain Storm Optimization Integrated with Cooperative Coevolution for Large-Scale Constrained Optimization.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
EvoDCMMO: Benchmarking and solving dynamic constrained multimodal optimization problems.
Swarm Evol. Comput., 2022
Federated Markov Logic Network for indoor activity recognition in Internet of Things.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022
DE with A new population initialization method for the dynamic multidimensional knapsack problems.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
A Multiscale Windows Deep Learning Aproach For Sensor-Based Human Activity Recogniton.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
2021
Parallel Particle Swarm Optimization Based on Spark for Academic Paper Co-Authorship Prediction.
Inf., 2021
EURASIP J. Wirel. Commun. Netw., 2021
Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition.
CoRR, 2021
Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties.
IEEE Trans. Sustain. Comput., 2020
Sustain. Comput. Informatics Syst., 2020
Inf. Sci., 2020
Future Gener. Comput. Syst., 2020
2019
Swarm Evol. Comput., 2019
A hybrid approach to inferring the Internet of Things for complex activity recognition.
EURASIP J. Wirel. Commun. Netw., 2019
Comput. Networks, 2019
Comput. Networks, 2019
Empirical Study of Population-Based Dynamic Constrained Multimodal Optimization Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
J. Ambient Intell. Humaniz. Comput., 2018
Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems.
Appl. Soft Comput., 2018
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018
2017
IEEE Internet Things J., 2017
An architecture for aggregating information from distributed data nodes for industrial internet of things.
Comput. Electr. Eng., 2017
Appl. Soft Comput., 2017
2016
STLF: Spatial-temporal-logical knowledge representation and object mapping framework.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
2015
2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Combining multipopulation evolutionary algorithms with memory for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Differential evolution with a species-based repair strategy for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2011
An adaptive strategy for updating the memory in Evolutionary Algorithms for dynamic optimization.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011