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Rui Han 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory Computer Architecture, Beijing, China
- affiliation (PhD 2013): Imperial College London, Department of Computing, UK
- affiliation (former): Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Rui Han — disambiguation page
- Rui Han 0002
— University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Rui Han 0003
- Rui Han 0004
- Rui Han 0005
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2020 – today
- 2024
- [j23]Xiaojiang Zuo
FedViT: Federated continual learning of vision transformer at edge. Future Gener. Comput. Syst. 154: 1-15 (2024) - [j22]Qinglong Zhang
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. IEEE Trans. Computers 73(6): 1616-1630 (2024) - 2023
- [j21]Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen:
Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. J. Cloud Comput. 12(1): 90 (2023) - [j20]Zipeng Dai, Chi Harold Liu
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22(4): 2038-2052 (2023) - [c32]Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. ICDE 2023: 341-354 - [c31]Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen:
EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. ICDE 2023: 3643-3646 - [c30]Junyan Ouyang, Rui Han, Chi Harold Liu:
Evaluating Differential Privacy in Federated Continual Learning. VTC Fall 2023: 1-5 - [i15]Xiangwei Wang, Rui Han, Chi Harold Liu:
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method. CoRR abs/2303.11952 (2023) - 2022
- [j19]Qinglong Zhang, Rui Han
Lightweight and Accurate DNN-Based Anomaly Detection at Edge. IEEE Trans. Parallel Distributed Syst. 33(11): 2927-2942 (2022) - [j18]Jianxin Zhao
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Trans. Serv. Comput. 15(2): 614-626 (2022) - [j17]Zan Zong
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15(5): 2883-2896 (2022) - [c29]Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang:
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. ICDE 2022: 459-471 - [c28]Xiaojiang Zuo, Xiao Wang, Rui Han:
An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services. INFOCOM Workshops 2022: 1-6 - [c27]Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen:
EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. INFOCOM 2022: 880-889 - [c26]Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang:
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. INFOCOM 2022: 1029-1038 - [c25]Xiaojiang Zuo
An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning. MLMI 2022: 8-13 - [i14]Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang:
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. CoRR abs/2212.01738 (2022) - 2021
- [j16]Zilong Zhao
Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. 18(5): 2177-2192 (2021) - [j15]Rui Han
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2223-2236 (2021) - [j14]Rui Han
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. IEEE Trans. Parallel Distributed Syst. 32(7): 1591-1602 (2021) - [j13]Rui Han
Accurate Differentially Private Deep Learning on the Edge. IEEE Trans. Parallel Distributed Syst. 32(9): 2231-2247 (2021) - [c24]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
LABELNET: Recovering Noisy Labels. IJCNN 2021: 1-8 - [c23]Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang:
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. INFOCOM 2021: 1-10 - [c22]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: block-grained scaling of deep neural networks for mobile vision. MobiCom 2021: 406-419 - [i13]Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen:
Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR abs/2103.10824 (2021) - [i12]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. CoRR abs/2112.09852 (2021) - 2020
- [j12]Rui Han
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression. IEEE Trans. Computers 69(7): 1059-1070 (2020) - [j11]Kuan Li, Yi Jin, Muhammad Waqar Akram
Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy. Vis. Comput. 36(2): 391-404 (2020) - [i11]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR abs/2007.05305 (2020)
2010 – 2019
- 2019
- [j10]Rui Han
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers. IEEE Trans. Parallel Distributed Syst. 30(12): 2879-2895 (2019) - [c21]Zifeng Liu, Xiaojiang Zuo, Zeqing Li, Rui Han:
SparkAIBench: A Benchmark to Generate AI Workloads on Spark. Bench 2019: 215-221 - [i10]Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen:
RAD: On-line Anomaly Detection for Highly Unreliable Data. CoRR abs/1911.04383 (2019) - 2018
- [j9]Rui Han
Benchmarking Big Data Systems: A Review. IEEE Trans. Serv. Comput. 11(3): 580-597 (2018) - [c20]Rui Han, Zan Zong, Lydia Y. Chen, Siyi Wang, Jianfeng Zhan:
AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs. ICDCS 2018: 1519-1526 - 2017
- [j8]José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Rui Han, W. Wang, Ignacio Martín Llorente
SaaS enabled admission control for MCMC simulation in cloud computing infrastructures. Comput. Phys. Commun. 211: 88-97 (2017) - [j7]Zhen Jia
Understanding Big Data Analytics Workloads on Modern Processors. IEEE Trans. Parallel Distributed Syst. 28(6): 1797-1810 (2017) - [j6]Rui Han, Siguang Huang, Zhentao Wang, Jianfeng Zhan:
CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. IEEE Trans. Parallel Distributed Syst. 28(8): 2190-2203 (2017) - [c19]Rui Han, Zan Zong, Fan Zhang, José Luis Vázquez-Poletti, Zhen Jia, Lei Wang:
CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems. CLOUD 2017: 496-503 - [c18]Rui Han, Fan Zhang, Zhentao Wang:
AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce. INFOCOM 2017: 1-9 - [c17]Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan:
Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. RTSS 2017: 351-353 - [i9]Rui Han, Fan Zhang, Zhentao Wang:
AccurateML: Information-aggregation-based Approximate Processing for Fast and Accurate Machine Learning on MapReduce. CoRR abs/1708.01341 (2017) - 2016
- [j5]Rui Han, Jianfeng Zhan, José Luis Vázquez-Poletti:
SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services. Int. J. Parallel Program. 44(5): 1054-1077 (2016) - [c16]Rui Han, Siguang Huang, Fei Tang, Fu-Gui Chang, Jianfeng Zhan:
AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. ICPP 2016: 278-287 - [e2]Jianfeng Zhan, Rui Han, Roberto V. Zicari:
Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9495, Springer 2016, ISBN 978-3-319-29005-8 [contents] - [i8]Rui Han, Siguang Huang, Fei Tang, Fu-Gui Chang, Jianfeng Zhan:
AccuracyTrader: Accuracy-aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. CoRR abs/1607.02734 (2016) - 2015
- [c15]Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Lizy K. John, Jiangtao Xu, Gang Lu, Lei Wang:
BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. BPOE 2015: 10-21 - [c14]Rui Han, Junwei Wang, Fengming Ge, José Luis Vázquez-Poletti, Jianfeng Zhan:
SARP: producing approximate results with small correctness losses for cloud interactive services. Conf. Computing Frontiers 2015: 22:1-22:8 - [c13]Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti:
Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services. ICDCS 2015: 744-745 - [c12]Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti:
PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services. ICPP 2015: 490-499 - [i7]Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Jiangtao Xu, Lizy K. John, Lei Wang, Jianfeng Zhan:
BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. CoRR abs/1504.02205 (2015) - [i6]Rui Han, Zhen Jia, Wanling Gao, Xinhui Tian, Lei Wang:
Benchmarking Big Data Systems: State-of-the-Art and Future Directions. CoRR abs/1506.01494 (2015) - [i5]Lei Wang, Jianfeng Zhan, Zhen Jia, Rui Han:
Characterization and Architectural Implications of Big Data Workloads. CoRR abs/1506.07943 (2015) - [i4]Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti:
PCS: Predictive Component-level Scheduling for Reducing Tail Latency in Cloud Online Services. CoRR abs/1511.02960 (2015) - 2014
- [j4]Rui Han, Moustafa Ghanem
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. Future Gener. Comput. Syst. 32: 82-98 (2014) - [c11]Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li:
Characterizing and subsetting big data workloads. IISWC 2014: 191-201 - [c10]Rui Han, Xiaoyi Lu, Jiangtao Xu:
On Big Data Benchmarking. BPOE@ASPLOS/VLDB 2014: 3-18 - [e1]Jianfeng Zhan, Rui Han, Chuliang Weng:
Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 4th and 5th Workshops, BPOE 2014, Salt Lake City, USA, March 1, 2014 and Hangzhou, China, September 5, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8807, Springer 2014, ISBN 978-3-319-13020-0 [contents] - [i3]Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan:
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. CoRR abs/1401.5465 (2014) - [i2]Rui Han, Xiaoyi Lu:
On Big Data Benchmarking. CoRR abs/1402.5194 (2014) - [i1]Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li:
Characterizing and Subsetting Big Data Workloads. CoRR abs/1409.0792 (2014) - 2013
- [b1]Rui Han:
Investigations into elasticity in cloud computing. Imperial College London, UK, 2013 - [j3]Rui Han, Moustafa Ghanem, Yike Guo:
Towards Elastic Algorithms as a New Model of Computation for the Cloud. Int. J. Next Gener. Comput. 4(2) (2013) - [c9]Rui Han, Lei Nie, Moustafa Ghanem, Yike Guo:
Elastic algorithms for guaranteeing quality monotonicity in big data mining. IEEE BigData 2013: 45-50 - [c8]Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan:
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. WBDB 2013: 138-154 - 2012
- [j2]Xian Yang
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA. BMC Bioinform. 13(S-14): S4 (2012) - [j1]Schahram Dustdar
Programming Directives for Elastic Computing. IEEE Internet Comput. 16(6): 72-77 (2012) - [c7]Sijin He
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA 2012: 15-22 - [c6]Rui Han, Li Guo, Moustafa Ghanem
Lightweight Resource Scaling for Cloud Applications. CCGRID 2012: 644-651 - [c5]Yike Guo, Moustafa Ghanem, Rui Han:
Does the Cloud need new algorithms? An introduction to elastic algorithms. CloudCom 2012: 66-73 - 2011
- [c4]Rui Han, Li Guo, Yike Guo, Sijin He
A Deployment Platform for Dynamically Scaling Applications in the Cloud. CloudCom 2011: 506-510 - 2010
- [c3]Rui Han, Yingbo Liu, Lijie Wen
Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. APWeb 2010: 99-105
2000 – 2009
- 2009
- [c2]Rui Han, Yingbo Liu, Lijie Wen
Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems. CSIE (7) 2009: 669-673 - [c1]Rui Han, Yingbo Liu, Lijie Wen
A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems. OTM Conferences (1) 2009: 24-41
Coauthor Index
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