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Books and Theses

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2022
[b1]
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Rong Gu:
Formal Methods for Scalable Synthesis and Verification of Autonomous Systems : Mission Planning and Collision Avoidance. Mälardalen University, Sweden, 2022

Journal Articles

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2024
[j34]
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Haipeng Dai, Yikang Zhang, Weijun Wang, Rong Gu, Yuben Qu, Chi Lin, Lijie Xu, Jiaqi Zheng, Wanchun Dou, Guihai Chen:
Placing Wireless Chargers With Multiple Antennas. IEEE Trans. Mob. Comput. 23(6): 7517-7536 (2024)
[j33]
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Lihao Wang, Weijun Wang, Haipeng Dai, Yuben Qu, Jiaqi Zheng, Rong Gu, Guihai Chen, Xiaoming Fu:
Joint Deployment of Truck-Drone Systems for Camera-Based Object Monitoring. IEEE Trans. Mob. Comput. 23(10): 9645-9662 (2024)
[j32]
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Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li, Rong Gu, Jiaqi Zheng, Guihai Chen:
A Generic Framework for Finding Special Quadratic Elements in Data Streams. IEEE/ACM Trans. Netw. 32(4): 3269-3284 (2024)
[j31]
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Hancheng Wang, Haipeng Dai, Shusen Chen, Meng Li, Rong Gu, Huayi Chai, Jiaqi Zheng, Zhiyuan Chen, Shuaituan Li, Xianjun Deng, Guihai Chen:
Bamboo Filters: Make Resizing Smooth and Adaptive. IEEE/ACM Trans. Netw. 32(5): 3776-3791 (2024)
2023
[j30]
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Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang, Guihai Chen:
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. Proc. VLDB Endow. 16(13): 4216-4229 (2023)
[j29]
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Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen:
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. IEEE Trans. Knowl. Data Eng. 35(12): 12987-13001 (2023)
[j28]
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Haipeng Dai, Xiaoyu Wang, Xuzhen Lin, Rong Gu, Shuyu Shi, Yunhuai Liu, Wanchun Dou, Guihai Chen:
Placing Wireless Chargers With Limited Mobility. IEEE Trans. Mob. Comput. 22(6): 3589-3603 (2023)
[j27]
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Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Weijun Wang, Guihai Chen:
SAFE: Service Availability via Failure Elimination Through VNF Scaling. IEEE/ACM Trans. Netw. 31(5): 2042-2057 (2023)
[j26]
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Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen:
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. IEEE Trans. Parallel Distributed Syst. 34(11): 2946-2964 (2023)
[j25]
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Meng Li, Rongbiao Xie, Deyi Chen, Haipeng Dai, Rong Gu, He Huang, Wanchun Dou, Guihai Chen:
A Pareto optimal Bloom filter family with hash adaptivity. VLDB J. 32(3): 525-548 (2023)
[j24]
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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 (WWW) 26(5): 3093-3118 (2023)
2022
[j23]
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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 Comput. 110: 102879 (2022)
[j22]
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Rong Gu, Peter Gjøl Jensen, Cristina Seceleanu, Eduard Enoiu, Kristina Lundqvist:
Correctness-guaranteed strategy synthesis and compression for multi-agent autonomous systems. Sci. Comput. Program. 224: 102894 (2022)
[j21]
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Rong Gu, Peter Gjøl Jensen, Danny Bøgsted Poulsen, Cristina Seceleanu, Eduard Enoiu, Kristina Lundqvist:
Verifiable strategy synthesis for multiple autonomous agents: a scalable approach. Int. J. Softw. Tools Technol. Transf. 24(3): 395-414 (2022)
[j20]
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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 Trans. Netw. Sci. Eng. 9(1): 173-186 (2022)
[j19]
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Rong Gu, Yuquan Chen, Shuai Liu, Haipeng Dai, Guihai Chen, Kai Zhang, Yang Che, Yihua Huang:
Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. IEEE Trans. Parallel Distributed Syst. 33(11): 2808-2820 (2022)
2021
[j18]
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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 446: 165-191 (2021)
[j17]
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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. J. Parallel Distributed Comput. 156: 132-147 (2021)
[j16]
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Zhaokang Wang, Shen Wang, Junhong Li, Chunfeng Yuan, Rong Gu, Yihua Huang:
VSIM: Distributed local structural vertex similarity calculation on big graphs. J. Parallel Distributed Comput. 158: 29-46 (2021)
[j15]
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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. J. Syst. Archit. 115: 101994 (2021)
[j14]
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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. Softw. Pract. Exp. 51(8): 1676-1699 (2021)
[j13]
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Rong Gu, Zhiqiang Zuo, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, Yihua Huang:
Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Trans. Parallel Distributed Syst. 32(4): 867-883 (2021)
[j12]
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Zhaokang Wang, Weiwei Hu, Guowang Chen, Chunfeng Yuan, Rong Gu, Yihua Huang:
Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework. IEEE Trans. Parallel Distributed Syst. 32(12): 2953-2969 (2021)
2019
[j11]
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Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang:
Adaptive cache policy scheduling for big data applications on distributed tiered storage system. Concurr. Comput. Pract. Exp. 31(15) (2019)
[j10]
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Guanghui Zhu, Qiu Hu, Rong Gu, Chunfeng Yuan, Yihua Huang:
ForestLayer: Efficient training of deep forests on distributed task-parallel platforms. J. Parallel Distributed Comput. 132: 113-126 (2019)
[j9]
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Guanghui Zhu, Chen Guo, Le Lu, Zhi Huang, Chunfeng Yuan, Rong Gu, Yihua Huang:
DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms. Parallel Comput. 87: 87-102 (2019)
[j8]
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Guanghui Zhu, Qian Wang, Qiwei Tang, Rong Gu, Chunfeng Yuan, Yihua Huang:
Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. 30(12): 2663-2676 (2019)
2018
[j7]
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Rong Gu, Yu-Fa Zhou, Zhaokang Wang, Chunfeng Yuan, Yihua Huang:
Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data. IEEE Trans. Parallel Distributed Syst. 29(10): 2333-2345 (2018)
2017
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Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, Yihua Huang:
Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Trans. Parallel Distributed Syst. 28(9): 2539-2552 (2017)
2016
[j5]
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Hongfei Ji, Jie Li, Rongrong Lu, Rong Gu, Lei Cao, Xiaoliang Gong:
EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme. Comput. Intell. Neurosci. 2016: 1732836:1-1732836:15 (2016)
[j4]
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Yanpu Yang, Dengkai Chen, Rong Gu, Yu-feng Gu, Suihuai Yu:
Consumers' Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms. Comput. Intell. Neurosci. 2016: 5083213:1-5083213:11 (2016)
2014
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Jie Li, Hongfei Ji, Lei Cao, Di Zang, Rong Gu, Bin Xia, Qiang Wu:
Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom. Int. J. Neural Syst. 24(4) (2014)
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Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, Yihua Huang:
SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters. J. Parallel Distributed Comput. 74(3): 2166-2179 (2014)
2008
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Rong Gu, Miaoliang Zhu, Liying Zhao, Ningning Zhang:
Interest mining in virtual learning environments. Online Inf. Rev. 32(2): 133-146 (2008)

Conference and Workshop Papers

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2024
[c65]
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Rong Gu, Tiberiu Seceleanu, Ning Xiong, Muhammad Naeem:
A Service-Oriented Digital Twin Framework for Dynamic and Robust Distributed Systems. SSE 2024: 66-73
[c64]
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Rong Gu, Teodor Barbuceanu, Ning Xiong, Tiberiu Seceleanu:
Experiences in Building a Digital Twin Framework: Challenges and Possible Solutions. COMPSAC 2024: 531-536
[c63]
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Hancheng Wang, Haipeng Dai, Rong Gu, Youyou Lu, Jiaqi Zheng, Jingsong Dai, Shusen Chen, Zhiyuan Chen, Shuaituan Li, Guihai Chen:
Wormhole Filters: Caching Your Hash on Persistent Memory. EuroSys 2024: 456-471
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Lukas Johannes Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen:
UPPAAL-Based Modeling and Verification of ROS 2 Multi-threaded Execution and Operating System Reservations. FMICS 2024: 40-59
[c61]
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Rong Gu, Zahra Moezkarimi, Marjan Sirjani:
Guess and Then Check: Controller Synthesis for Safe and Secure Cyber-Physical Systems. FORTE 2024: 230-238
[c60]
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Meng Li, Wenqi Luo, Haipeng Dai, Huayi Chai, Rong Gu, Xiaoyu Wang, Guihai Chen:
The Reinforcement Cuckoo Filter. INFOCOM 2024: 1940-1949
[c59]
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Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu, Guihai Chen:
ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes. KDD 2024: 1933-1943
[c58]
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Lukas Johannes Dust, Mikael Ekström, Rong Gu, Saad Mubeen, Cristina Seceleanu:
A Model-Based Methodology for Automated Verification of ROS 2 Systems. RoSE 2024: 35-42
[c57]
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Muhammad Naeem, Rong Gu, Cristina Seceleanu, Kim Guldstrand Larsen, Brian Nielsen, Michele Albano:
Energy-Efficient Motion Planning for Autonomous Vehicles Using Uppaal Stratego. TASE 2024: 356-373
2023
[c56]
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Suhui Wangzhang, Ruizhang Yang, Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang:
Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs. ISPA/BDCloud/SocialCom/SustainCom 2023: 620-627
[c55]
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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. DASFAA (4) 2023: 593-605
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Haipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu:
Distantly Supervised Entity Linking with Selection Consistency Constraint. DASFAA (2) 2023: 784-799
[c53]
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Rong Gu:
Learning in Uppaal for Test Case Generation for Cyber-Physical Systems. ECBS 2023: 70-74
[c52]
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Lukas Johannes Dust, Emil Persson, Mikael Ekström, Saad Mubeen, Cristina Seceleanu, Rong Gu:
Experimental Evaluation of Callback Behavior in ROS 2 Executors. ETFA 2023: 1-8
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Lukas Johannes Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen:
Pattern-Based Verification of ROS 2 Nodes Using UPPAAL. FMICS 2023: 57-75
[c50]
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Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian, Wanchun Dou:
Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries. ICDM 2023: 61-70
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Zhenghong Luo, Qian Wang, Haomai Wang, Tianshan Qu, Meng Li, Rong Gu, Haipeng Dai:
MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores. ICDM 2023: 478-487
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Rong Gu, Eduard Enoiu:
Model-Based Policy Synthesis and Test-Case Generation for Autonomous Systems. ICSTW 2023: 18-27
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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. INFOCOM 2023: 1-10
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Rong Gu, Jiajia Wei, Xu Wang, Jiahui Wang, Haipeng Dai, Jiaqi Zheng, Baolong Mao, Yihua Huang:
Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach. IWQoS 2023: 1-4
[c45]
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Rong Gu, Simian Li, Haipeng Dai, Hancheng Wang, Yili Luo, Bin Fan, Ran Ben Basat, Ke Wang, Zhenyu Song, Shouwei Chen, Beinan Wang, Yihua Huang, Guihai Chen:
Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. USENIX ATC 2023: 467-484
2022
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Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang:
Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization. CSE 2022: 90-97
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Rong Gu, Xu Huang, Haipeng Dai, Xiaoyu Geng, Xiaofei Chen, Yihua Huang, Fu Xiao, Guihai Chen:
Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. HPCC/DSS/SmartCity/DependSys 2022: 337-346
[c42]
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Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen:
Bamboo Filters: Make Resizing Smooth. ICDE 2022: 979-991
[c41]
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Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang:
Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. ICDE 2022: 2182-2195
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Lihao Wang, Weijun Wang, Haipeng Dai, Jiaqi Zheng, Bangbang Ren, Shuyu Shi, Rong Gu:
DUET: Joint Deployment of Trucks and Drones for Object Monitoring. IWQoS 2022: 1-10
[c39]
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Haipeng Dai, Yue Zhao, Weijun Wang, Rong Gu, Yuben Qu, Chi Lin, Lijie Xu, Wanchun Dou:
Placing Wireless Chargers with Multiple Antennas. SECON 2022: 479-487
[c38]
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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 ATC 2022: 539-556
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Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen:
Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. WWW 2022: 2759-2767
2021
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Rong Gu, Cristina Seceleanu, Eduard Enoiu, Kristina Lundqvist:
Model Checking Collision Avoidance of Nonlinear Autonomous Vehicles. FM 2021: 676-694
[c35]
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Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai, Guihai Chen:
Hash Adaptive Bloom Filter. ICDE 2021: 636-647
2020
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Rong Gu, Eduard Enoiu, Cristina Seceleanu, Kristina Lundqvist:
Verifiable and Scalable Mission-Plan Synthesis for Autonomous Agents. FMICS 2020: 73-92
[c33]
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Rong Gu, Eduard Enoiu, Cristina Seceleanu, Kristina Lundqvist:
Probabilistic Mission Planning and Analysis for Multi-agent Systems. ISoLA (1) 2020: 350-367
[c32]
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Rong Gu, Eduard Enoiu, Cristina Seceleanu:
TAMAA: UPPAAL-based mission planning for autonomous agents. SAC 2020: 1624-1633
2019
[c31]
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Zhaokang Wang, Rong Gu, Weiwei Hu, Chunfeng Yuan, Yihua Huang:
BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework. ICDE 2019: 136-147
[c30]
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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. ICDE 2019: 1726-1729
[c29]
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Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang:
Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS 2019: 133-140
[c28]
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Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Guihai Chen:
SAFE: Service Availability via Failure Elimination Through VNF Scaling. ICPP 2019: 54:1-54:10
[c27]
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Zhiqiang Zuo, Rong Gu, Xi Jiang, Zhaokang Wang, Yihua Huang, Linzhang Wang, Xuandong Li:
BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud. IPDPS 2019: 771-780
[c26]
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Rong Gu, Raluca Marinescu, Cristina Seceleanu, Kristina Lundqvist:
Towards a Two-Layer Framework for Verifying Autonomous Vehicles. NFM 2019: 186-203
2018
[c25]
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Rong Gu, Min Chen, Wenjia Yang, Chunfeng Yuan, Yihua Huang:
Seal: Efficient Training Large Scale Statistical Machine Translation Models on Spark. ICPADS 2018: 118-125
[c24]
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Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan, Yihua Huang:
Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. ICPADS 2018: 126-133
[c23]
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Rong Gu, Raluca Marinescu, Cristina Seceleanu, Kristina Lundqvist:
Formal verification of an autonomous wheel loader by model checking. FormaliSE@ICSE 2018: 74-83
2017
[c22]
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Guanghui Zhu, Xiaoqi Wu, Rong Gu, Chunfeng Yuan, Yihua Huang:
AutoMJ: Towards Efficient Multi-way Join Query on Distributed Data-Parallel Platform. ICPADS 2017: 161-169
2016
[c21]
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Jie Li, Hongfei Ji, Rong Gu, Lusong Hou, Zhicheng Zhang, Qiang Wu, Rongrong Lu, Maozhen Li:
Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics. ICIC (1) 2016: 294-305
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Rong Gu, Zhiqiang Liu, Chunfeng Yuan, Yihua Huang:
A Time-Cost Based Automatic Scheduling Framework for Matrix Computation on Various Distributed Computing Platforms. IPDPS Workshops 2016: 1527-1534
[c19]
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Peng Shu, Rong Gu, Qianhao Dong, Chunfeng Yuan, Yihua Huang:
Accelerating Big Data Applications on Tiered Storage System with Various Eviction Policies. Trustcom/BigDataSE/ISPA 2016: 1350-1357
2015
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Rong Gu, Yun Tang, Zhaokang Wang, Shuai Wang, Xusen Yin, Chunfeng Yuan, Yihua Huang:
Efficient large scale distributed matrix computation with spark. IEEE BigData 2015: 2327-2336
[c17]
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  - conf/compsac/GuTDWLWYH15
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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. COMPSAC Workshops 2015: 562-567
[c16]
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Rong Gu, Lei Jin, Yongwei Wu, Jingying Qu, Tao Wang, Xiaojun Wang, Chunfeng Yuan, Yihua Huang:
Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data. ICA3PP (2) 2015: 52-65
[c15]
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Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang:
iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) 2015: 104-117
[c14]
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Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang:
Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. IPDPS 2015: 700-709
2014
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Rong Gu, Wei Hu, Yihua Huang:
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. IEEE BigData 2014: 561-566
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Lei Jin, Zhaokang Wang, Rong Gu, Chunfeng Yuan, Yihua Huang:
Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor. IPDPS Workshops 2014: 1622-1630
[c11]
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Hongjian Qiu, Rong Gu, Chunfeng Yuan, Yihua Huang:
YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark. IPDPS Workshops 2014: 1664-1671
2013
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Rong Gu, Furao Shen, Yihua Huang:
A parallel computing platform for training large scale neural networks. IEEE BigData 2013: 376-384
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Yiyuan Wang, Jie Li, Rongjun Jian, Rong Gu:
Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface. BMEI 2013: 202-207
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Wenhui Zhou, Chunfeng Yuan, Rong Gu, Yihua Huang:
Large Scale Nearest Neighbors Search Based on Neighborhood Graph. CBD 2013: 181-186
[c7]
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Jie Li, Hongfei Ji, Lei Cao, Rong Gu, Bin Xia, Yanbing Huang:
Wheelchair Control Based on Multimodal Brain-Computer Interfaces. ICONIP (1) 2013: 434-441
2012
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Jinshuang Yan, Xiaoliang Yang, Rong Gu, Chunfeng Yuan, Yihua Huang:
Performance Optimization for Short MapReduce Job Execution in Hadoop. CGC 2012: 688-694
[c5]
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  - conf/iconip/XuLGX12
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Zhuo Xu, Jie Li, Rong Gu, Bin Xia:
Steady-State Visually Evoked Potential (SSVEP)-Based Brain-Computer Interface (BCI): A Low-Delayed Asynchronous Wheelchair Control System. ICONIP (1) 2012: 305-314
2011
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Zhenyu Li, Rong Gu, Gaogang Xie:
Measuring and enhancing the social connectivity of UGC video systems: A case study of YouKu. IWQoS 2011: 1-9
2009
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Meng Xu, Rong Gu, Xiaoxuan Zheng, Manlin Zhang:
A Personalized Educational System Based on the Fabric of Knowledge. ETT 2009: 264-266
[c2]
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Rong Gu, Hongyun Zhang:
The Application of Improved Immunogenetic Algorithm in Signal Timing. IJCBS 2009: 612-615
2004
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Yonggu Wang, Xiaojuan Li, Rong Gu:
Web-Based Adaptive Collaborative Learning Environment Designing. ICWL 2004: 163-168

Informal and Other Publications

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2024
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Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen:
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles. CoRR abs/2408.01093 (2024)
2021
[i5]
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Rongbiao Xie, Meng Li, Zheyu Miao, Rong Gu, He Huang, Haipeng Dai, Guihai Chen:
Hash Adaptive Bloom Filter. CoRR abs/2106.07037 (2021)
2020
[i4]
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  - journals/corr/abs-2005-14601
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Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang:
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. CoRR abs/2005.14601 (2020)
[i3]
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  - journals/corr/abs-2006-12819
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Zhaokang Wang, Weiwei Hu, Chunfeng Yuan, Rong Gu, Yihua Huang:
Distributed Subgraph Enumeration via Backtracking-based Framework. CoRR abs/2006.12819 (2020)
2019
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Yan Zhuang, Danian Shi, Rong Gu, Hariharan Ananthakrishnan:
A YANG Data Model for Fabric Topology in Data-Center Networks. RFC 8542: 1-32 (2019)
[i1]
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Zhenqiang Li, Rong Gu, Jie Dong:
Export of BGP Community Information in IP Flow Information Export (IPFIX). RFC 8549: 1-18 (2019)

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