Jidong Zhai
Jidong Zhai
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Xiaoyong Du
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Compressed Data Direct Computing for Databases
F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS
G-Learned Index: Enabling Efficient Learned Index on GPU
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms
CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases
Exploring Data Analytics Without Decompression on Embedded GPU Systems
Exploring Query Processing on CPU-GPU Integrated Edge Device
Payment behavior prediction on shared parking lots with TR-GCN
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression
An Efficient Parallel Secure Machine Learning Framework on GPUs
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
TADOC: Text analytics directly on compression
Enabling Efficient Random Access to Hierarchically-Compressed Data
ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs
Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
TADOC: Text Analytics Directly on Compression
Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors
Statistical Analysis and Prediction of Parking Behavior
An adaptive breadth-first search algorithm on integrated architectures
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