Zhibin Yu

According to our database1, Zhibin Yu
  • authored at least 70 papers between 2008 and 2018.
  • has a "Dijkstra number"2 of four.



In proceedings 
PhD thesis 


On csauthors.net:


MIA: Metric Importance Analysis for Big Data Workload Characterization.
IEEE Trans. Parallel Distrib. Syst., 2018

QIG: Quantifying the Importance and Interaction of GPGPU Architecture Parameters.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2018

Doppler Radar Vital Signs Detection Method Based on Higher Order Cyclostationary.
Sensors, 2018

Configuring in-memory cluster computing using random forest.
Future Generation Comp. Syst., 2018

Instance Map based Image Synthesis with a Denoising Generative Adversarial Network.
CoRR, 2018

Instance Map Based Image Synthesis With a Denoising Generative Adversarial Network.
IEEE Access, 2018

Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing.
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

Understanding human intention by connecting perception and action learning in artificial agents.
Neural Networks, 2017

Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species.
IET Image Processing, 2017

Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding.
Front. Neurorobot., 2017

Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes.
CoRR, 2017

Photo-to-Caricature Translation on Faces in the Wild.
CoRR, 2017

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation.
CoRR, 2017

Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network.
Comp. Int. and Neurosc., 2017

Automatic plankton image classification combining multiple view features via multiple kernel learning.
BMC Bioinformatics, 2017

ATH: Auto-Tuning HBase's Configuration via Ensemble Learning.
IEEE Access, 2017

MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning.
IEEE Access, 2017

CGAN-plankton: Towards large-scale imbalanced class generation and fine-grained classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

Combing spatial and temporal features for crowd counting with point supervision.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

An Experimental Comparison Between Genetic Algorithm and Particle Swarm Optimization in Spark Performance Tuning.
Proceedings of the first Workshop on Emerging Technologies for software-defined and reconfigurable hardware-accelerated Cloud Datacenters, 2017

POSTER: BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration.
IEEE Trans. Parallel Distrib. Syst., 2016

ShenZhen transportation system (SZTS): a novel big data benchmark suite.
The Journal of Supercomputing, 2016

Two-Level Hybrid Sampled Simulation of Multithreaded Applications.
TACO, 2016

A novel generalized demodulation approach for multi-component signals.
Signal Processing, 2016

QIM: Quantifying Hyperparameter Importance for Deep Learning.
Proceedings of the Network and Parallel Computing, 2016

The Design and Implementation of a NoC System Based on SoCKit.
Proceedings of the International Conference on Networking and Network Applications, 2016

Barrier-Aware Warp Scheduling for Throughput Processors.
Proceedings of the 2016 International Conference on Supercomputing, 2016

Thread Similarity Matrix: Visualizing Branch Divergence in GPGPU Programs.
Proceedings of the 45th International Conference on Parallel Processing, 2016

A Fault Tolerance NoC Topology and Adaptive Routing Algorithm.
Proceedings of the 13th International Conference on Embedded Software and Systems, 2016

Performance Modeling for Spark Using SVM.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

A Hybrid Convolutional Neural Network for Plankton Classification.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation.
IEEE Trans. Computers, 2015

Human motion based intent recognition using a deep dynamic neural model.
Robotics and Autonomous Systems, 2015

Real-time human action classification using a dynamic neural model.
Neural Networks, 2015

Deep learning of support vector machines with class probability output networks.
Neural Networks, 2015

Human intention understanding based on object affordance and action classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

SZTS: A Novel Big Data Transportation System Benchmark Suite.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Shorter On-Line Warmup for Sampled Simulation of Multi-threaded Applications.
Proceedings of the 44th International Conference on Parallel Processing, 2015

A Fast Training Algorithm of Multiple-Timescale Recurrent Neural Network for Agent Motion Generation.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

Human-Robot Interaction using Intention Recognition.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

A Case Study on Job Scheduling Policy for Workload Characterization and Power Efficiency.
CoRR, 2014

A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems.
Cluster Computing, 2014

PCantorSim: Accelerating parallel architecture simulation through fractal-based sampling.
TACO, 2013

Accelerating GPGPU architecture simulation.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Multiple Timescale Recurrent Neural Network with Slow Feature Analysis for Efficient Motion Recognition.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A characterization of big data benchmarks.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

The Distribution Characteristics Analysis of Advanced RES Feature.
Proceedings of the AsiaSim 2013, 2013

Simulating the future kilo-x86-64 core processors and their infrastructure.
Proceedings of the 2012 Spring Simulation Multiconference, 2012

FractalMRC: Online Cache Miss Rate Curve Prediction on Commodity Systems.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

A complexity adaptive channel estimator for low power.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

TERAFLUX: Exploiting Tera-device Computing Challenges.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

MT-BTRIMER: A master-slave multi-threaded dynamic binary translator.
Comput. Syst. Sci. Eng., 2011

Traffic classification based on visualization.
Proceedings of the 2nd IEEE International Conference on Networked Embedded Systems for Enterprise Applications, 2011

Hierarchically characterizing CUDA program behavior.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

MT-Profiler: A Parallel Dynamic Analysis Framework Based on Two-Stage Sampling.
Proceedings of the Advanced Parallel Processing Technologies - 9th International Symposium, 2011

CantorSim: Simplifying Acceleration of Micro-architecture Simulations.
Proceedings of the MASCOTS 2010, 2010

MT-BTRIMER: A Master-Slave Multi-threaded Dynamic Binary Translator.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

An Intra-ONU Scheduling Method in 10G EPON Supporting IEEE 802.1 AVB.
Proceedings of the CISIS 2010, 2010

Solid Convex-Hull Sequential Support Vector Machine.
Proceedings of the Fifth International Conference on Broadband and Wireless Computing, 2010

Inter-ONU Scheduling Scheme for QoS Guarantee in 10G EPON.
Proceedings of the Fifth International Conference on Broadband and Wireless Computing, 2010

System-level max power (SYMPO): a systematic approach for escalating system-level power consumption using synthetic benchmarks.
Proceedings of the 19th International Conference on Parallel Architecture and Compilation Techniques, 2010

Simple and fast micro-architecture simulation: a trisection cantor fractal approach.
SIGMETRICS Performance Evaluation Review, 2009

TSS: Applying two-stage sampling in micro-architecture simulations.
Proceedings of the 17th Annual Meeting of the IEEE/ACM International Symposium on Modelling, 2009

Identifying Classes via Cognitive Approach in Object-Oriented System.
Proceedings of the PACIIA 2008, 2008

An Evaluation of Two-Stage Systematic Sampling in Micro-Architecture Simulation.
Proceedings of the Third ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, 2008