36 results on '"Zhaobo Zhang"'
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2. PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum.
3. Demystifying deep learning in predictive monitoring for cloud-native SLOs.
4. Exploring Word-Sememe Graph-Centric Chinese Antonym Detection.
5. Privacy-preserving Job Scheduler for GPU Sharing.
6. Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge.
7. Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters.
8. Unsupervised Root-Cause Analysis for Integrated Systems.
9. Adaptive Addresses for Next Generation IP Protocol in Hierarchical Networks.
10. Black-Box Test-Coverage Analysis and Test-Cost Reduction Based on a Bayesian Network Model.
11. Self-Learning Health-Status Analysis for a Core Router System.
12. A 5.72-μW, 1.02-MHz, -40~125°C, 1μs-Startup Time Relaxation Oscillation with Fully-on-Chip Voltage Reference and LDO Regulator.
13. Data-driven fault diagnosis with missing syndromes imputation for functional test through conditional specification.
14. Symbol-based health-status analysis in a core router system.
15. Changepoint-based anomaly detection in a core router system.
16. RetroDMR: Troubleshooting non-deterministic faults with retrospective DMR.
17. Accurate anomaly detection using correlation-based time-series analysis in a core router system.
18. On test syndrome merging for reasoning-based board-level functional fault diagnosis.
19. Self-learning and adaptive board-level functional fault diagnosis.
20. Knowledge discovery and knowledge transfer in board-level functional fault diagnosis.
21. Information-theoretic syndrome and root-cause analysis for guiding board-level fault diagnosis.
22. AgentDiag: An agent-assisted diagnostic framework for board-level functional failures.
23. Handling Missing Syndromes in Board-Level Functional-Fault Diagnosis.
24. Diagnostic system based on support-vector machines for board-level functional diagnosis.
25. Board-Level Functional Fault Diagnosis Using Learning Based on Incremental Support-Vector Machines.
26. Adaptive Board-Level Functional Fault Diagnosis Using Decision Trees.
27. Signature Analysis for Testing, Diagnosis, and Repair of Multi-mode Power Switches.
28. A BIST scheme for testing and repair of multi-mode power switches.
29. Smart diagnosis: Efficient board-level diagnosis and repair using artificial neural networks.
30. A Robust and Reconfigurable Multi-mode Power Gating Architecture.
31. Failure prediction based on anomaly detection for complex core routers.
32. Innovative practices on machine learning for emerging applications.
33. Board-level fault diagnosis using an error-flow dictionary.
34. Optimization and Selection of Diagnosis-Oriented Fault-Insertion Points for System Test.
35. Board-level fault diagnosis using Bayesian inference.
36. Physical defect modeling for fault insertion in system reliability test.
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