A Feature-Selection Method Based on Graph Symmetry Structure in Complex Networks.
Symmetry, May, 2024
An efficient cloud-based elastic RDMA protocol for HPC applications.
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CCF Trans. High Perform. Comput., February, 2024
Few-Shot Image Classification Method Based on Self-Supervised Task Pre-training.
Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, 2024
An Innovative Approach to PMI Analysis and Enhancing Information Flow Efficiency.
IEEE Access, 2023
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory.
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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Group multi-scale attention pyramid network for traffic sign detection.
Neurocomputing, 2021
Detecting TensorFlow Program Bugs in Real-World Industrial Environment.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
CrashTuner: detecting crash-recovery bugs in cloud systems via meta-info analysis.
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019
HaaS: Cloud-Based Real-Time Data Analytics with Heterogeneity-Aware Scheduling.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
A genetic algorithm for the time-aware regression testing reduction problem.
Proceedings of the Eighth International Conference on Natural Computation, 2012