Jianqiang Huang
Orcid: 0000-0002-4454-7919Affiliations:
- Qinghai University, Intelligent Computing and Application Laboratory, Xining, China
- Tsinghua University, Department of Computer Science and Technology, Beijing, China
According to our database1,
Jianqiang Huang authored at least 53 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Frontiers Comput. Sci., October, 2026
PHFedDA: Personalized Hierarchical Federated Learning Framework Based on Heterogeneous Data Aggregation in Vehicular Networks.
IEEE Trans. Veh. Technol., June, 2026
BEAVER: A Training-Free Hierarchical Prompt Compression Method via Structure-Aware Page Selection.
CoRR, March, 2026
CCF Trans. High Perform. Comput., February, 2026
IEEE Trans. Parallel Distributed Syst., January, 2026
Neurocomputing, 2026
Hierarchical fusion of local and global visual features with mixture-of-experts for remote sensing image scene classification.
Neurocomputing, 2026
PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs.
Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026
Proceedings of the 40th ACM International Conference on Supercomputing, 2026
2025
CCF Trans. High Perform. Comput., December, 2025
Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks.
Knowl. Inf. Syst., October, 2025
AFM-Net: Advanced Fusing Hierarchical CNN Visual Priors with Global Sequence Modeling for Remote Sensing Image Scene Classification.
CoRR, October, 2025
Research on GPU transplantation optimization of PRM scalar advection scheme in GRAPES global forecast system.
CCF Trans. High Perform. Comput., June, 2025
An Efficient Parallel Ordered Depth-First Search Strategy for Directed Acyclic Graphs.
Concurr. Comput. Pract. Exp., February, 2025
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Federated Distillation and Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2025
GDSR: Global-Detail Integration Through Dual-Branch Network With Wavelet Losses for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2025
Mach. Learn., 2025
Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network.
Big Data Min. Anal., 2025
Plastic Distillation and Local Class Augment for Federated Class Incremental Learning.
Appl. Soft Comput., 2025
Imputing Missing Temperature Data of Meteorological Stations Based on Global Spatiotemporal Attention Neural Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025
Octree-STCM: Octree-Based Spatio-Temporal Context Model for Lossless Geometry Compression of Dynamic Point Cloud.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
2024
IEEE Trans. Comput. Soc. Syst., December, 2024
ConvMambaSR: Leveraging State-Space Models and CNNs in a Dual-Branch Architecture for Remote Sensing Imagery Super-Resolution.
Remote. Sens., September, 2024
DisRot: boosting the generalization capability of few-shot learning via knowledge distillation and self-supervised learning.
Mach. Vis. Appl., May, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems, 2024
2023
CoRR, 2023
STA-Net: Reconstruct Missing Temperature Data of Meteorological Stations Using a Spatiotemporal Attention Neural Network.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
Proceedings of the 7th International Conference on High Performance Compilation, 2023
2022
$TC-Stream$TC-Stream: Large-Scale Graph Triangle Counting on a Single Machine Using GPUs.
IEEE Trans. Parallel Distributed Syst., 2022
J. Supercomput., 2022
Hypernetwork Representation Learning with Common Constraints of the Set and Translation.
Symmetry, 2022
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022
2021
Future Gener. Comput. Syst., 2021
Clust. Comput., 2021
2020
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020
Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day.
IEEE Access, 2019
Single Image Super-Resolution Reconstruction of Enhanced Loss Function with Multi-GPU Training.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019