Jianfeng Zhan

Orcid: 0000-0002-3728-6837

According to our database1, Jianfeng Zhan authored at least 174 papers between 2005 and 2025.

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Bibliography

2025
OpenClinicalAI: An open and dynamic model for Alzheimer's Disease diagnosis.
Expert Syst. Appl., 2025

2024
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions.
ACM Trans. Web, May, 2024

Could Bibliometrics Reveal Top Science and Technology Achievements and Researchers? The Case for Evaluatology-based Science and Technology Evaluation.
CoRR, 2024

Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models.
CoRR, 2024

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture.
CoRR, 2024

AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database.
CoRR, 2024

Bridging the Gap Between Domain-specific Frameworks and Multiple Hardware Devices.
CoRR, 2024

Evaluatology: The Science and Engineering of Evaluation.
CoRR, 2024

AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI.
CoRR, 2024

2023
Scenario-Based AI Benchmark Evaluation of Distributed Cloud/Edge Computing Systems.
IEEE Trans. Computers, March, 2023

SAIBench: A Structural Interpretation of AI for Science Through Benchmarks.
CoRR, 2023

IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database.
CoRR, 2023

OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis.
CoRR, 2023

OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis.
CoRR, 2023

WPC: Whole-picture Workload Characterization.
CoRR, 2023

DCNetBench: Scaleable Data Center Network Benchmarking.
CoRR, 2023

NHtapDB: Native HTAP Databases.
CoRR, 2023

Hierarchical Masked 3D Diffusion Model for Video Outpainting.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CMLCompiler: A Unified Compiler for Classical Machine Learning.
Proceedings of the 37th International Conference on Supercomputing, 2023

A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data.
Neurocomputing, 2022

Quality at the Tail.
CoRR, 2022

ToL: A Tensor of List-Based Unified Computation Model.
CoRR, 2022

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer.
CoRR, 2022

SAIBench: Benchmarking AI for Science.
CoRR, 2022

A BenchCouncil View on Benchmarking Emerging and Future Computing.
CoRR, 2022

Three Laws of Technology Rise or Fall.
CoRR, 2022

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

EAIBench: An Energy Efficiency Benchmark for AI Training.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

2021
Call for establishing benchmark science and engineering.
CoRR, 2021

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings.
CoRR, 2021

Shift-and-Balance Attention.
CoRR, 2021

HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking.
CoRR, 2021

WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture.
IEEE Comput. Archit. Lett., 2021

AIBench Training: Balanced Industry-Standard AI Training Benchmarking.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

AI-oriented Workload Allocation for Cloud-Edge Computing.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Ensemble Clustering-based Cervical Spondylosis Fine-classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

AIBench Scenario: Scenario-Distilling AI Benchmarking.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020
An Isolated Data Island Benchmark Suite for Federated Learning.
CoRR, 2020

HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems.
CoRR, 2020

Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices.
CoRR, 2020

AIBench: Scenario-distilling AI Benchmarking.
CoRR, 2020

AIBench: An Industry Standard AI Benchmark Suite from Internet Services.
CoRR, 2020

Extended Batch Normalization.
CoRR, 2020

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite.
CoRR, 2020

AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing.
CoRR, 2020

Workshop 7: HPBDC High-Performance Big Data and Cloud Computing.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

OStoreBench: Benchmarking Distributed Object Storage Systems Using Real-World Application Scenarios.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2019
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers.
IEEE Trans. Parallel Distributed Syst., 2019

Understanding Processors Design Decisions for Data Analytics in Homogeneous Data Centers.
IEEE Trans. Big Data, 2019

HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems.
J. Comput. Sci. Technol., 2019

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads.
CoRR, 2019

AIBench: An Industry Standard Internet Service AI Benchmark Suite.
CoRR, 2019

HPC AI500: A Benchmark Suite for HPC AI Systems.
CoRR, 2019

LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting.
CoRR, 2019

A Semantic-based Medical Image Fusion Approach.
CoRR, 2019

A new direction to promote the implementation of artificial intelligence in natural clinical settings.
CoRR, 2019

XOS: An Application-Defined Operating System for Data Center Servers.
CoRR, 2019

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks.
IEEE Access, 2019

Introduction to HPBDC 2019.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2018
Benchmarking Big Data Systems: A Review.
IEEE Trans. Serv. Comput., 2018

Clustering Residential Electricity Load Curves via Community Detection in Network.
CoRR, 2018

Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster.
CoRR, 2018

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.
CoRR, 2018

A veracity preserving model for synthesizing scalable electricity load profiles.
CoRR, 2018

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads.
CoRR, 2018

BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing.
CoRR, 2018

GraphDuo: A Dual-Model Graph Processing Framework.
IEEE Access, 2018

Cymbalo: An Efficient Graph Processing Framework for Machine Learning.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Introduction to HPBDC 2018.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

CVR: efficient vectorization of SpMV on x86 processors.
Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

XOS: An Application-Defined Operating System for Datacenter Computing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Deep Convolutional Neural Networks for Log Event Classification on Distributed Cluster Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

HPC AI500: A Benchmark Suite for HPC AI Systems.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Data motifs: a lens towards fully understanding big data and AI workloads.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Understanding Big Data Analytics Workloads on Modern Processors.
IEEE Trans. Parallel Distributed Syst., 2017

CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services.
IEEE Trans. Parallel Distributed Syst., 2017

HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems.
CoRR, 2017

A Dwarf-based Scalable Big Data Benchmarking Methodology.
CoRR, 2017

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks.
CoRR, 2017

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning.
Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017

BigDataBench-S: An Open-Source Scientific Big Data Benchmark Suite.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Introduction to HPBDC Workshop.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Towards memory and computation efficient graph processing on spark.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Pipelining image compositing in heterogeneous networking environments.
Comput. Animat. Virtual Worlds, 2016

SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services.
Int. J. Parallel Program., 2016

On Horizontal Decomposition of the Operating System.
CoRR, 2016

10-millisecond Computing.
CoRR, 2016

Characterization and architectural implications of big data workloads.
Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

HPBDC Introduction and Committees.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Characterizing OS Behaviors of Datacenter and Big Data Workloads.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Understanding Data Analytics Workloads on Intel(R) Xeon Phi(R).
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

BDTUne: Hierarchical correlation-based performance analysis and rule-based diagnosis for big data systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Auto-tuning Spark Big Data Workloads on POWER8: Prediction-Based Dynamic SMT Threading.
Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015
TSAC: Enforcing Isolation ofVirtual Machines in Clouds.
IEEE Trans. Computers, 2015

PowerTracer: Tracing Requests in Multi-Tier Services to Reduce Energy Inefficiency.
IEEE Trans. Computers, 2015

Characterization and Architectural Implications of Big Data Workloads.
CoRR, 2015

Understanding Big Data Analytic Workloads on Modern Processors.
CoRR, 2015

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads.
CoRR, 2015

Identifying Dwarfs Workloads in Big Data Analytics.
CoRR, 2015

Characterizing Data Analytics Workloads on Intel Xeon Phi.
Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

SARP: producing approximate results with small correctness losses for cloud interactive services.
Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015

2014
An Automatic Framework for Detecting and Characterizing Performance Degradation of Software Systems.
IEEE Trans. Reliab., 2014

Characterizing and subsetting big data workloads.
Proceedings of the 2014 IEEE International Symposium on Workload Characterization, 2014

BigDataBench: A big data benchmark suite from internet services.
Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework.
Proceedings of the Database Systems for Advanced Applications, 2014

Digging deeper into cluster system logs for failure prediction and root cause diagnosis.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Parallel Streamline Placement for 2D Flow Fields.
IEEE Trans. Vis. Comput. Graph., 2013

Cost-Aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers.
IEEE Trans. Computers, 2013

BigDataBench: a Big Data Benchmark Suite from Web Search Engines.
CoRR, 2013

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking.
Proceedings of the Advancing Big Data Benchmarks, 2013

Multi-scale Entropy: One Metric of Software Aging.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Characterizing data analysis workloads in data centers.
Proceedings of the IEEE International Symposium on Workload Characterization, 2013

A Relationship-Based VM Placement Framework of Cloud Environment.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2012
In Cloud, Can Scientific Communities Benefit from the Economies of Scale?
IEEE Trans. Parallel Distributed Syst., 2012

Precise, Scalable, and Online Request Tracing for Multitier Services of Black Boxes.
IEEE Trans. Parallel Distributed Syst., 2012

Performance analysis and optimization of MPI collective operations on multi-core clusters.
J. Supercomput., 2012

CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications.
Frontiers Comput. Sci., 2012

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems.
Proceedings of the Specifying Big Data Benchmarks, 2012

LogMaster: Mining Event Correlations in Logs of Large-Scale Cluster Systems.
Proceedings of the IEEE 31st Symposium on Reliable Distributed Systems, 2012

High Volume Throughput Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

PowerTracer: tracing requests in multi-tier services to diagnose energy inefficiency.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

2011
Automatic performance debugging of SPMD-style parallel programs.
J. Parallel Distributed Comput., 2011

A Runtime Fault Detection Method for HPC Cluster.
Proceedings of the 12th International Conference on Parallel and Distributed Computing, 2011

Characterization of real workloads of web search engines.
Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

2010
Transformer: A New Paradigm for Building Data-Parallel Programming Models.
IEEE Micro, 2010

PowerTracer: Tracing requests in multi-tier services to save cluster power consumption
CoRR, 2010

Precise, Scalable and Online Request Tracing for Multi-tier Services of Black Boxes
CoRR, 2010

PhoenixCloud: Provisioning Resources for Heterogeneous Workloads in Cloud Computing
CoRR, 2010

Scalable Group Management in Large-Scale Virtualized Clusters
CoRR, 2010

Decreasing log data of multi-tier services for effective request tracing
CoRR, 2010

PhoenixCloud: Provisioning Resources for Heterogeneous Cloud Workloads
CoRR, 2010

LogMaster: Mining Event Correlations in Logs of Large scale Cluster Systems
CoRR, 2010

Automatic Performance Debugging of SPMD Parallel Programs
CoRR, 2010

A Case Study for SOA System Rejuvenation.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

Online Event Correlations Analysis in System Logs of Large-Scale Cluster Systems.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2010

2009
Phoenix Cloud : Consolidating Heterogeneous Workloads of Large Organizations on Cloud Computing Platforms
CoRR, 2009

Multidimensional Analysis of System Logs in Large-scale Cluster Systems
CoRR, 2009

Similarity Analysis in Automatic Performance Debugging of SPMD Parallel Programs
CoRR, 2009

In cloud, do MTC or HTC service providers benefit from the economies of scale?
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, 2009

Accurate Analytical Models for Message Passing on Multi-core Clusters.
Proceedings of the 17th Euromicro International Conference on Parallel, 2009

Precise request tracing and performance debugging for multi-tier services of black boxes.
Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, 2009

2008
A Fast-Start, Fault-Tolerant MPI Launcher on Dawning Supercomputers.
Proceedings of the Ninth International Conference on Parallel and Distributed Computing, 2008

A Dynamic Provisioning Framework for Multi-tier Internet Applications in Virtualized Data Center.
Proceedings of the Ninth International Conference on Parallel and Distributed Computing, 2008

Design Techniques for the Scalability of Cluster Management Software on Dawning Supercomputers.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

A Performance Model for Domino Mail Server.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Multi-core aware optimization for MPI collectives.
Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008

2007
The design methodology of Phoenix cluster system software stack.
Proceedings of the CHINA HPC 2007, 2007

Theory of commercial application management system and its implementation - AMPS.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2007

Grid Unit: A Self-Managing Building Block for Grid System.
Proceedings of the Eighth International Conference on Parallel and Distributed Computing, 2007

A layered design methodology of cluster system stack.
Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007

2006
The Failure-rate Aware Scheduling Policies for Large-scale Cluster Systems.
Proceedings of the Seventh International Conference on Parallel and Distributed Computing, 2006

Design Patterns of Scalable Cluster System Software.
Proceedings of the Seventh International Conference on Parallel and Distributed Computing, 2006

Easy and reliable cluster management: the self-management experience of Fire Phoenix.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

A proactive fault-detection mechanism in large-scale cluster systems.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

An Integrated Adaptive Management System for Cluster-based Web Services.
Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006

PhoenixG: A Unified Management Framework for Industrial Information Grid.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

A Failure-Aware Scheduling Strategy in Large-Scale Cluster System.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005
A Formal Method for Modeling and Managing Large-Scale Distributed Applications.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2005

Fire Phoenix Cluster Operating System Kernel and its Evaluation.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

Adaptive Management of a Utility Computing.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005


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