Rong Gu
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Publications

Here list most of my publication in recent years.

2023

  • Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen. Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. USENIX Annual Technical Conference (USENIX ATC, CCF-A), 2023, to appear.

  • Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen. Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. IEEE International Conference on Computer Communications (IEEE INFOCOM, CCF-A). 2023, to appear.

  • Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang. Coral: Federated Query Join Order Optimization based on Deep Reinforcement Learning. World Wide Web Journal (WWWJ, CCF-B). 2023, to appear.

  • Rong Gu, Jiajia Wei, Xu Wang, Jiahui Wang, Haipeng Dai, Jiaqi Zheng, Baolong Mao, Yihua Huang, Guihai Chen. Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach. IEEE/ACM International Symposium on Quality of Service 2023 (IEEE/ACM IWQoS 2023, CCF-B). 2023, to appear.

  • Meng Li, Haipeng Dai*, Rongbiao Xie, Rong Gu*, Tong Yang, Guihai Chen*. Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A). 2023, to appear.

  • Tongyu Wu, Rong Gu*, Yang Li, Hongbin Ma, Yi Chen, Ying Zhu, Xiaoxiang Yu, Tengting Xu, Yihua Huang. Raven: Benchmarking Monetary Expense and Query Efficiency of OLAP Engines on the Cloud. the 28th International Conference on Database Systems for Advanced Applications (DASFAA, CCF-B). 2023, to appear.

  • Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu. Distantly Supervised Entity Linking with Selection Consistency Constraint. the 28th International Conference on Database Systems for Advanced Applications (DASFAA, CCF-B). 2023, to appear.

  • Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Weijung Wang and Guihai Chen. SAFE: Service Availability via Failure Elimination Through VNF Scaling. IEEE/ACM Transactions on Networking (TNET, CCF-A). 2023, to appear.

2022

  • Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai*, Guihai Chen, Kai Zhang, Yang Che, and Yihua Huang*. Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol 33(11), 2022, pp. 2808-2820.

  • Rong Gu, Xu Huang, Haipeng Dai*, Xiaoyu Geng, Xiaofei Chen, Yihua Huang*, Fu Xiao, and Guihai Chen. Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. The 24th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2022, CCF-C, Best Paper Award, only two winners from 663 submissions，paper acceptance ratio 17.6%), pp. 337-346, December, 2022.

  • Meng Li, Rongbiao Xie, Deyi Chen, Haipeng Dai, Rong Gu, He Huang, Wanchun Dou and Guihai Chen. A Pareto Optimal Bloom Filter Family with Hash Adaptivity. accepted by (VLDB Journal 2022, CCF-A), to appear.

  • Rong Gu, Han Yin, Weichang Zhong, Chunfeng Yuan, Yihua Huang. Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. USENIX Annual Technical Conference (USENIX ATC 2022, CCF-A), pp. 539-556, July. 2022.

  • Lihao Wang, Weijun Wang, Haipeng Dai, Jiaqi Zheng, Bangbang Ren, Shuyu Shi, Rong Gu. DUET: Joint Deployment of Trucks and Drones for Object Monitoring. IEEE/ACM International Symposium on Quality of Service (IEEE IWQoS, CCF-B), pp. 1-10, June. 2022.

  • Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen and Yihua Huang. Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. the 38th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A). pp. 2183-2196, May. 2022.

  • Hancheng Wang, Haipeng Dai*, Meng Li, Jun Yu, Rong Gu*, Jiaqi Zheng, Guihai Chen*. Bamboo Filters: Make Resizing Smooth. the 38th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A). pp. 979-991, May. 2022.

  • Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang and Guihai Chen. Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. The Web Conference (WWW, CCF-A), pp. 2759-2767, April, 2022.

  • Rong Gu, Jun Shi, Xiaofei Chen, Zhaokang Wang*, Yang Che, Kai Zhang, Yihua Huang*. Octopus-DF: Unified DataFrame-based Cross-platform Data Analytic System. Parallel Computing (PARCO, CCF-B). Vol 110(2022), 2022, pp. 1-12.

  • Rong Gu, Yili Luo, Lingwei Qiu, Zhaokang Wang, Haipeng Dai and Yihua Huang. Performance Optimization of Cross Java Language FUSE Framework. accepted by (Acta Electronica Sinica, 电子学报), to appear.

  • Haipeng Dai, Xiaoyu Wang, Xuzhen Lin, Rong Gu, Yunhuai Liu, Wanchun Dou, Guihai Chen. Placing Wireless Chargers with Limited Mobility. Accepted by (IEEE TMC, CCF-A), to appear.

  • Haipeng Dai, Yue Zhao, Weijun Wang, Rong Gu, Yuben Qu, Chi Lin, Lijie Xu and Wanchun Dou. Placing Wireless Chargers with Multiple Antennas. Accepted by (IEEE SECON, CCF-B), to appear.

  • Zhe Peng, Jianliang Xu, Xiaowen Chu, Shang Gao, Yuan Yao, Rong Gu, Yuzhe Tang. VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems. IEEE Transactions on Network Science and Engineering (IEEE TNSESI). Vol.9(1), 2022, pp. 173-186.

2021

  • Rong Gu, Zhiqiang Zuo*, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, and Yihua Huang*. Towards Efficient Large-scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.32(4), 2021, pp. 867-883.

  • Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu*, Yihua Huang*. Towards Efficient Distributed SubgraphEnumeration via Backtracking-based Framework. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.32(12), 2021, pp. 2953-2969.

  • Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu*, He Huang, Haipeng Dai* and Guihai Chen. Hash Adaptive Bloom Filter. 37th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A). pp. 636-647, April. 2021.

  • Rong Gu, Yang Qi, Tongyu Wu, Zhaokang Wang*, Xiaolong Xu, Chunfeng Yuan, Yihua Huang*. SparkDQ: Efficient Generic Big Data Quality Management on Distributed Data-Parallel Computation. Journal of Parallel and Distributed Computing (JPDC, CCF-B). Vol.156(1), 2021, pp. 132-147.

  • Rong Gu, Zhixiang Zhang, Zhihao Xu, Zhaokang Wang, Kai Zhang, Chunfeng Yuan, Yihua Huang*. Alchemy: Distributed Financial Quantitative Analysis System with High-level Programming Model. Software: Practice and Experience (SPE, CCF-B). Vol.51(8), 2021, pp. 1676-1699.

  • Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang*. Improving In-Memory File System Reading Performance by Fine-Grained User-Space Cache Mechanisms. Journal of Systems Architecture (JSA, CCF-B). Vol.115(1), 2021, pp. 1-15.

  • Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu and Yihua Huang. Distributed Local Structural Vertex Similarity Calculation on Big Graphs. Journal of Parallel and Distributed Computing (JPDC, CCF-B). Vol.158(1), 2021, pp. 29-46.

  • Zhaokang Wang, Yunpan Wang, Chunfeng Yuan, Rong Gu, Yihua Huang. Empirical Analysis of Performance Bottlenecks in Graph Neural Network Training and Inference with GPUs. NeuroComputing. Vol.446(1), 2021, pp. 165-191

2020

  • Rong Gu, Han Yin, Zhaokang Wang, Yihua Huang, Chunfeng Yuan. Design and Implementation of Online Big Data Lab Training Platform and the Experiments. Experimental Technology and Management(Teaching Paper)《实验技术与管理》(实验教学领域中文核心期刊,创刊于1963年). December. 2020.

2019

  • Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang. BENU: Distributed Subgraph Enumeration With Backtracking-based Framework. 35th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A). pp. 136-147, April. 2019.

  • Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan and Yihua Huang. Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.30(2), 2019, pp. 2663-2676.

  • Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu* and Yihua Huang*. DGST: Efficient and Scalable Suffix Tree Construction on Distributed Data-Parallel Platforms. Parallel Computing. (ParComput, CCF-B). Vol.87(1), 2019, pp. 87-102.

  • Guanghui Zhu, Qiu Hu, Rong Gu, Chunfeng Yuan, and Yihua Huang. ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. Journal of Parallel and Distributed Computing (JPDC, CCF-B). Vol.132(1), 2019, pp. 113-126.

  • Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Guihai Chen. SAFE: Service Availability via Failure Elimination Through VNF Scaling. 48th International Conference on Parallel Processing (ICPP, CCF-B), pp. 1-10, Augest. 2019.

  • Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, and Xuandong Li. BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. 33th IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS, CCF-B), pp. 771 - 780, May. 2019.

  • Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang. Adaptive Cache Policy Scheduling for Big Data Applications on Distributed Tiered Storage System. Concurrency and Computation: Practice and Experience (Concurr Comp-Parct). Vol.31(15), 2019, pp. 1-25.

  • Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan and Yihua Huang. Push-based Network-efficient Hadoop YARN Scheduling Mechanism for In-memory Computing. 25th International Conference on Parallel and Distributed Systems (IEEE ICPADS), pp. 133-140, Dec. 2019.

  • Guanghui Zhu, Xiaoqi Wu, Liangliang Yin, Haogang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang HyMJ: A Hybrid Structure-Aware Approach to Distributed Multi-Way Join Query. 35th IEEE International Conference on Data Engineering (IEEE ICDE, CCF-A), pp. 1726-1729, April. 2019.

  • 《Alluxio：大数据统一存储原理与实践》（ISBN: 978-7-121-36782-3.）主编：范斌、顾荣 出版社：电子工业出版社. 出版时间：2019年8月. 字数：242千字

2018

  • Rong Gu, Yufa Zhou, Zhaokang Wang, Chunfeng Yuan, and Yihua Huang. Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.29(10), 2018, pp. 2333-2345.

  • Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan and Yihua Huang. Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. 24th International Conference on Parallel and Distributed Systems (IEEE ICPADS, CCF-C). pp. 126-133, December. 2018.

  • Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan and Yihua Huang. Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. 24th International Conference on Parallel and Distributed Systems (IEEE ICPADS, CCF-C), pp. 118-125, December. 2018.

  • 顾荣,王善永,郭晨,袁春风,黄宜华. 基于Spark的大规模语义规则后向链推理系统. 中文信息学报, 2018, 32(3): 120-134.

2017 and earlier

  • Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, and Yihua Huang. Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.28(9), 2017, pp. 2539-2552.

  • Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang. Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. 29th IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS, CCF-B), pp. 700-709, May. 2015.

  • Rong Gu, Qianhao Dong, Haoyuan Li, Joseph Gonzalez, Zhao Zhang, Shuai Wang, Yihua Huang, Scott Shenker, Ion Stoica and Patrick P. C. Lee. DFS-Perf: A Scalable and Unified Benchmarking Framework for Distributed File Systems. EECS Department, University of California, Berkeley, Technical Report No.UCB/EECS-2016-133, July 27, 2016.ICP

  • Rong Gu, Furao Shen, and Yihua Huang. A Parallel Computing Platform for Training Large Scale Neural Networks. 1st IEEE International Conference on Big Data (IEEE BigData, CCF-C), pp. 376 - 384, Oct. 2013.

  • Rong Gu, Lei Jin, Yongwei Wu, Jingying Qu, Tao Wang, Xiaojun Wang, Chunfeng Yuan and Yihua Huang. Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP, CCF-C), pp. 52-65, Nov. 2015.

  • Rong Gu, Wei Hu, and Yihua Huang. Rainbow: A Distributed and Hierarchical RDF Triple Store with Dynamic Scalability. 2nd IEEE International Conference on Big Data (IEEE BigData, CCF-C), pp. 561 - 566, Oct. 2014.

  • Rong Gu, Yun Tang, Qianhao Dong, Zhaokang Wang, Zhiqiang Liu, Shuai Wang, Chunfeng Yuan, Yihua Huang. Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics. 39th IEEE Computer Software and Applications Conference (IEEE COMPSAC, CCF-C), pp. 562-567, July. 2015.

  • Rong Gu, Hongjian Qiu, Wenjia Yang, Wei Hu, Chunfeng Yuan, Yihua Huang. Goldfish: A Large Scale Semantic Data Store and Query System Based on Boolean Matrix Factorization.(in Chinese). Chinese Jouranl of Computers.《计算机学报》. Vol.40(10), 2017, pp. 2212-2230.

  • Rong Gu, Fangfang Wang, Chunfeng Yuan, Yihua Huang. YARM: Efficient and Scalable Semantic Reasoning Engine Using MapReduce.(in Chinese). Chinese Jouranl of Computers.《计算机学报》. Vol.38(1), 2015, pp. 74-85.

  • Rong Gu, Jinshuang Yan, Xiaoliang Yang, Chunfeng Yuan, and Yihua Huang. Performance Optimization for Short Job Execution in Hadoop MapReduce.(in Chinese). Journal of Computer Research and Development. 《计算机研究与发展》. Vol.51(6), 2014, pp. 1270-1280.