Zhibo Xuan

Orcid: 0009-0003-6811-0548

According to our database1, Zhibo Xuan authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DLR-CLIP: dual-level refinement for few-shot vision-language adaptation.
Multim. Syst., August, 2026

2025
Identifying Performance Inefficiencies of Parallel Program With Spatial and Temporal Trace Analysis.
IEEE Trans. Parallel Distributed Syst., July, 2025

SimTrace: Exploiting Spatial and Temporal Sampling for Large-Scale Performance Analysis.
ACM Trans. Archit. Code Optim., June, 2025

Hotspy: identifying performance hotspot with graph neural network based static analysis.
CCF Trans. High Perform. Comput., June, 2025

Exploiting Transformer-Based Static Binary Analysis for Identifying Inefficient Locks.
Proceedings of the Network and Parallel Computing, 2025

GNNPerf: Towards Effective Performance Profiling and Analysis Across GNN Frameworks.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Identifying Potential Anomalous Operations in Graph Neural Network Training.
Proceedings of the Advanced Parallel Processing Technologies, 2025

2024
GVARP: Detecting Performance Variance on Large-Scale Heterogeneous Systems.
Proceedings of the International Conference for High Performance Computing, 2024

Retrospection on the Performance Analysis Tools for Large-Scale HPC Programs.
Proceedings of the 31st IEEE International Conference on High Performance Computing, 2024

2023
Accelerating Big Data Application by Eliminating Redundancy on Hadoop Cluster.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

gGMED: Towards GPU Accelerated Geometric Modeling Evaluation and Derivative Processes.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022
PowerSpector: Towards Energy Efficiency with Calling-Context-Aware Profiling.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022


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