Rong Gu

Orcid: 0000-0003-0570-6005

According to our database1, Rong Gu authored at least 91 papers between 2004 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.
IEEE Trans. Knowl. Data Eng., December, 2023

High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms.
IEEE Trans. Parallel Distributed Syst., November, 2023

SAFE: Service Availability via Failure Elimination Through VNF Scaling.
IEEE/ACM Trans. Netw., October, 2023

Coral: federated query join order optimization based on deep reinforcement learning.
World Wide Web (WWW), September, 2023

Placing Wireless Chargers With Limited Mobility.
IEEE Trans. Mob. Comput., June, 2023

A Pareto optimal Bloom filter family with hash adaptivity.
VLDB J., May, 2023

ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation.
Proc. VLDB Endow., 2023

Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression.
Proceedings of the IEEE INFOCOM 2023, 2023

Model-Based Policy Synthesis and Test-Case Generation for Autonomous Systems.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores.
Proceedings of the IEEE International Conference on Data Mining, 2023

Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries.
Proceedings of the IEEE International Conference on Data Mining, 2023

Pattern-Based Verification of ROS 2 Nodes Using UPPAAL.
Proceedings of the Formal Methods for Industrial Critical Systems, 2023

Experimental Evaluation of Callback Behavior in ROS 2 Executors.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Learning in Uppaal for Test Case Generation for Cyber-Physical Systems.
Proceedings of the Engineering of Computer-Based Systems - 8th International Conference, 2023

Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud.
Proceedings of the Database Systems for Advanced Applications, 2023

Distantly Supervised Entity Linking with Selection Consistency Constraint.
Proceedings of the Database Systems for Advanced Applications, 2023

Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
Formal Methods for Scalable Synthesis and Verification of Autonomous Systems : Mission Planning and Collision Avoidance.
PhD thesis, 2022

Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters.
IEEE Trans. Parallel Distributed Syst., 2022

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Verifiable strategy synthesis for multiple autonomous agents: a scalable approach.
Int. J. Softw. Tools Technol. Transf., 2022

Correctness-guaranteed strategy synthesis and compression for multi-agent autonomous systems.
Sci. Comput. Program., 2022

Octopus-DF: Unified DataFrame-based cross-platform data analytic system.
Parallel Comput., 2022

Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Placing Wireless Chargers with Multiple Antennas.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

DUET: Joint Deployment of Trucks and Drones for Object Monitoring.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Bamboo Filters: Make Resizing Smooth.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization.
Proceedings of the 25th IEEE International Conference on Computational Science and Engineering, 2022

2021
Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework.
IEEE Trans. Parallel Distributed Syst., 2021

Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation.
IEEE Trans. Parallel Distributed Syst., 2021

Alchemy: Distributed financial quantitative analysis system with high-level programming model.
Softw. Pract. Exp., 2021

Improving in-memory file system reading performance by fine-grained user-space cache mechanisms.
J. Syst. Archit., 2021

VSIM: Distributed local structural vertex similarity calculation on big graphs.
J. Parallel Distributed Comput., 2021

SparkDQ: Efficient generic big data quality management on distributed data-parallel computation.
J. Parallel Distributed Comput., 2021

Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs.
Neurocomputing, 2021

Hash Adaptive Bloom Filter.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Model Checking Collision Avoidance of Nonlinear Autonomous Vehicles.
Proceedings of the Formal Methods - 24th International Symposium, 2021

2020
Distributed Subgraph Enumeration via Backtracking-based Framework.
CoRR, 2020

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization.
CoRR, 2020

TAMAA: UPPAAL-based mission planning for autonomous agents.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Probabilistic Mission Planning and Analysis for Multi-agent Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles, 2020

Verifiable and Scalable Mission-Plan Synthesis for Autonomous Agents.
Proceedings of the Formal Methods for Industrial Critical Systems, 2020

2019
Export of BGP Community Information in IP Flow Information Export (IPFIX).
RFC, April, 2019

A YANG Data Model for Fabric Topology in Data-Center Networks.
RFC, March, 2019

Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms.
IEEE Trans. Parallel Distributed Syst., 2019

DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms.
Parallel Comput., 2019

ForestLayer: Efficient training of deep forests on distributed task-parallel platforms.
J. Parallel Distributed Comput., 2019

Adaptive cache policy scheduling for big data applications on distributed tiered storage system.
Concurr. Comput. Pract. Exp., 2019

Towards a Two-Layer Framework for Verifying Autonomous Vehicles.
Proceedings of the NASA Formal Methods - 11th International Symposium, 2019

BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

SAFE: Service Availability via Failure Elimination Through VNF Scaling.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-way Join Query.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data.
IEEE Trans. Parallel Distributed Syst., 2018

Formal verification of an autonomous wheel loader by model checking.
Proceedings of the 6th Conference on Formal Methods in Software Engineering, 2018

Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2017
Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms.
IEEE Trans. Parallel Distributed Syst., 2017

AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016
Consumers' Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms.
Comput. Intell. Neurosci., 2016

EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme.
Comput. Intell. Neurosci., 2016

Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Efficient large scale distributed matrix computation with spark.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters.
J. Parallel Distributed Comput., 2014

Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom.
Int. J. Neural Syst., 2014

YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Wheelchair Control Based on Multimodal Brain-Computer Interfaces.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Large Scale Nearest Neighbors Search Based on Neighborhood Graph.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

A parallel computing platform for training large scale neural networks.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface (BCI): A Low-Delayed Asynchronous Wheelchair Control System.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Performance Optimization for Short MapReduce Job Execution in Hadoop.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011
Measuring and enhancing the social connectivity of UGC video systems: A case study of YouKu.
Proceedings of the 19th International Workshop on Quality of Service, 2011

2009
The Application of Improved Immunogenetic Algorithm in Signal Timing.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A Personalized Educational System Based on the Fabric of Knowledge.
Proceedings of the ETT 2009, 2009

2008
Interest mining in virtual learning environments.
Online Inf. Rev., 2008

2004
Web-Based Adaptive Collaborative Learning Environment Designing.
Proceedings of the Advances in Web-Based Learning, 2004


  Loading...