Haotian Wang
Orcid: 0000-0002-0086-6301Affiliations:
- Hunan University, China
According to our database1,
Haotian Wang authored at least 20 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Polarity-Aware and Adaptive Sparse Aggregation for Implicit Heterophilic Graph Classification.
IEEE Trans. Knowl. Data Eng., June, 2026
Adaptive Block-Wise Mapping With Intra-Block Resource Allocation for Multi-DNN Workloads on Heterogeneous Accelerator Systems.
IEEE Trans. Parallel Distributed Syst., April, 2026
IEEE Trans. Serv. Comput., 2026
2025
HiFA: A High-Performance and Flexible Acceleration Framework for Large-Size Number Theoretic Transform.
ACM Trans. Reconfigurable Technol. Syst., December, 2025
IEEE Trans. Parallel Distributed Syst., September, 2025
A Context-Awareness and Hardware-Friendly Sparse Matrix Multiplication Kernel for CNN Inference Acceleration.
IEEE Trans. Computers, April, 2025
A Privacy-Preserving Scheme With High Utility Over Data Streams in Mobile Crowdsensing.
IEEE Trans. Inf. Forensics Secur., 2025
IEEE Intell. Transp. Syst. Mag., 2025
IEEE Internet Things J., 2025
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025
2024
BCB-SpTC: An Efficient Sparse High-Dimensional Tensor Contraction Employing Tensor Core Acceleration.
IEEE Trans. Parallel Distributed Syst., December, 2024
HPS Cholesky: Hierarchical Parallelized Supernodal Cholesky with Adaptive Parameters.
ACM Trans. Parallel Comput., March, 2024
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
J. Parallel Distributed Comput., November, 2023
A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration.
IEEE Trans. Parallel Distributed Syst., August, 2023
ACM Trans. Parallel Comput., June, 2023
2021
STM-multifrontal QR: streaming task mapping multifrontal QR factorization empowered by GCN.
Proceedings of the International Conference for High Performance Computing, 2021
Parallel Sparse LU Factorization With Machine-Learning Method on Multi-core Processors.
Proceedings of the 7th International Conference on Systems and Informatics, 2021
2020
Good or Mediocre? A Deep Reinforcement Learning Approach for Taxi Revenue Efficiency Optimization.
IEEE Trans. Netw. Sci. Eng., 2020