Wanling Gao

Orcid: 0000-0002-3911-9389

According to our database1, Wanling Gao authored at least 66 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation.
Nat. Mac. Intell., 2024

Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides.
J. Chem. Inf. Model., 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
IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database.
CoRR, 2023

WPC: Whole-picture Workload Characterization.
CoRR, 2023

DCNetBench: Scaleable Data Center Network Benchmarking.
CoRR, 2023

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

A systematic study on benchmarking AI inference accelerators.
CCF Trans. High Perform. Comput., 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

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

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

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

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

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

BOPS, A New Computation-Centric Metric for Datacenter Computing.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

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

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

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

DCMIX: Generating Mixed Workloads for the Cloud Data Center.
Proceedings of the Benchmarking, Measuring, and Optimizing, 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

基于观察者模式的实时系统验证方法 (Real-time System Verification Approach Based on Observer Patterns).
计算机科学, 2017

统计算法选择对统计模型检测效率的影响分析 (Efficiency Analysis of Different Statistical Algorithms on Statistical Model Checking).
计算机科学, 2017

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

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

2015
Benchmarking Big Data Systems: State-of-the-Art and Future Directions.
CoRR, 2015

Identifying Dwarfs Workloads in Big Data Analytics.
CoRR, 2015

Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015

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

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

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


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