Rong Gu
Orcid: 0000-0002-1565-9997Affiliations:
- Nanjing University, State Key Laboratory for Novel Software Technology, China (PhD 2016)
According to our database1,
Rong Gu
authored at least 87 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Parallel Wormhole Filters: High-Performance Approximate Membership Query Data Structures for Persistent Memory.
IEEE Trans. Parallel Distributed Syst., November, 2025
CoRR, September, 2025
Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding.
CoRR, August, 2025
CoRR, August, 2025
BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering.
CoRR, July, 2025
Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving.
CoRR, April, 2025
Proc. ACM Manag. Data, February, 2025
Proc. ACM Manag. Data, 2025
HotPrefix: Hotness-Aware KV Cache Scheduling for Efficient Prefix Sharing in LLM Inference Systems.
Proc. ACM Manag. Data, 2025
Big Data Min. Anal., 2025
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
2024
Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression.
IEEE/ACM Trans. Netw., December, 2024
IEEE/ACM Trans. Netw., October, 2024
IEEE Trans. Mob. Comput., October, 2024
IEEE/ACM Trans. Netw., August, 2024
IEEE Trans. Mob. Comput., June, 2024
IEEE Trans. Knowl. Data Eng., 2024
ColdPurge: Effecient Metadata Cache Cleaning via Accurate Online Data Hotness Tracking.
Proceedings of the 25th International Middleware Conference Industrial Track, 2024
ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
2023
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
IEEE/ACM Trans. Netw., October, 2023
World Wide Web (WWW), September, 2023
IEEE Trans. Mob. Comput., June, 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
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
Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud.
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
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
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
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
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
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
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
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
CoRR, 2020
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
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
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
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
IEEE Trans. Parallel Distributed Syst., 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
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
2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
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
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
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
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2012
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012