502 results on '"Kesheng Wu"'
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52. An empirical study of I/O separation for burst buffers in HPC systems.
53. Network traffic performance analysis from passive measurements using gradient boosting machine learning.
54. Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow.
55. Feature Engineering and Classification Models for Partial Discharge in Power Transformers.
56. Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study.
57. DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems.
58. Performance Prediction for Data Transfers in LCLS Workflow.
59. Understanding Parallel I/O Performance Trends Under Various HPC Configurations.
60. Automatic Detection of Network Traffic Anomalies and Changes.
61. Similarity-based Compression with Multidimensional Pattern Matching.
62. Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters.
63. HDF5 as a vehicle for in transit data movement.
64. Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads.
65. Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
66. Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
67. Understanding Data Similarity in Large-Scale Scientific Datasets.
68. A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers.
69. Enabling SQL-Query Processing for Ethereum-based Blockchain Systems.
70. SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis.
71. Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
72. Querying Large Scientific Data Sets with Adaptable IO System ADIOS.
73. Distributed caching for processing raw arrays.
74. Efficient Online Hyperparameter Learning for Traffic Flow Prediction.
75. ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs.
76. Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.
77. Identifying Anomalous File Transfer Events in LCLS Workflow.
78. Detecting Anomalies in the LCLS Workflow.
79. ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage.
80. Modeling Data Transfers: Change Point and Anomaly Detection.
81. Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation.
82. Federated Wireless Network Intrusion Detection.
83. Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data.
84. Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers.
85. Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization.
86. Improving Botnet Detection with Recurrent Neural Network and Transfer Learning.
87. Incremental nonnegative matrix factorization based on correlation and graph regularization for matrix completion.
88. Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization.
89. Real-time and post-hoc compression for data from Distributed Acoustic Sensing.
90. Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data.
91. Improving Statistical Similarity Based Data Reduction for Non-Stationary Data.
92. Parallel Variable Selection for Effective Performance Prediction.
93. Apply Block Index Technique to Scientific Data Analysis and I/O Systems.
94. ArrayUDF: User-Defined Scientific Data Analysis on Arrays.
95. Data quality challenges with missing values and mixed types in joint sequence analysis.
96. Incremental View Maintenance over Array Data.
97. UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data.
98. Predicting Network Traffic Using TCP Anomalies.
99. Consensus Ensemble System for Traffic Flow Prediction.
100. Predicting baseline for analysis of electricity pricing.
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