165 results on '"Kesheng Wu"'
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2. A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory.
3. The Art of Sparsity: Mastering High-Dimensional Tensor Storage.
4. A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis.
5. Serving Deep Learning Models from Relational Databases.
6. Data Driven Dimensionality Reduction to Improve Modeling Performance✱.
7. Analyzing Transatlantic Network Traffic over Scientific Data Caches.
8. Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption.
9. Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.
10. Effectiveness and predictability of in-network storage cache for Scientific Workflows.
11. Adaptive Optimization for Sparse Data on Heterogeneous GPUs.
12. Exploring Large All-Flash Storage System with Scientific Simulation.
13. Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications.
14. Predicting Slow Network Transfers in Scientific Computing.
15. Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches.
16. Access Trends of In-network Cache for Scientific Data.
17. Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures.
18. GPU-based Classification for Wireless Intrusion Detection.
19. Analyzing Scientific Data Sharing Patterns for In-network Data Caching.
20. Access Patterns to Disk Cache for Large Scientific Archive.
21. Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.
22. Asynchronous I/O Strategy for Large-Scale Deep Learning Applications.
23. An In-Depth I/O Pattern Analysis in HPC Systems.
24. DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection.
25. Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow.
26. Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection.
27. Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder.
28. Towards HPC I/O Performance Prediction through Large-scale Log Analysis.
29. HPC Workload Characterization Using Feature Selection and Clustering.
30. Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data.
31. Effective Missing Value Imputation Methods for Building Monitoring Data.
32. Botnet Detection Using Recurrent Variational Autoencoder.
33. A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers.
34. Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study.
35. DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems.
36. Performance Prediction for Data Transfers in LCLS Workflow.
37. Understanding Parallel I/O Performance Trends Under Various HPC Configurations.
38. Automatic Detection of Network Traffic Anomalies and Changes.
39. Similarity-based Compression with Multidimensional Pattern Matching.
40. Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters.
41. HDF5 as a vehicle for in transit data movement.
42. Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads.
43. Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
44. Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
45. Understanding Data Similarity in Large-Scale Scientific Datasets.
46. A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers.
47. Enabling SQL-Query Processing for Ethereum-based Blockchain Systems.
48. SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis.
49. Querying Large Scientific Data Sets with Adaptable IO System ADIOS.
50. Distributed caching for processing raw arrays.
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