Rui Han

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

INFOCOM

IEEE Trans. Serv. Comput.

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. IEEE Trans. Computers 73 (6) (2024)
Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoyin Wang, Lydia Y. Chen
FedViT: Federated continual learning of vision transformer at edge. Future Gener. Comput. Syst. 154 (2024)
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)
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)
Junyan Ouyang, Rui Han, Chi Harold Liu
Evaluating Differential Privacy in Federated Continual Learning. VTC Fall (2023)
Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22 (4) (2023)
Xiangwei Wang, Rui Han, Chi Harold Liu
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method. CoRR (2023)
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) (2023)
Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. CoRR (2022)
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)
Xiaojiang Zuo, Qinglong Zhang, Rui Han
An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning. MLMI (2022)
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)
Qinglong Zhang, Rui Han, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
Lightweight and Accurate DNN-Based Anomaly Detection at Edge. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15 (5) (2022)
Jianxin R. Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Trans. Serv. Comput. 15 (2) (2022)
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)
Rui Han, Dong Li, Junyan Ouyang, Chi Harold Liu, Guoren Wang, Dapeng Wu, Lydia Y. Chen
Accurate Differentially Private Deep Learning on the Edge. IEEE Trans. Parallel Distributed Syst. 32 (9) (2021)
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 (2021)
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. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Rui Han, Shilin Li, Xiangwei Wang, Chi Harold Liu, Gaofeng Xin, Lydia Y. Chen
Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
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)
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)
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 (2021)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
LABELNET: Recovering Noisy Labels. IJCNN (2021)
Rui Han, Chi Harold Liu, Shilin Li, Shilin Wen, Xue Liu
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression. IEEE Trans. Computers 69 (7) (2020)
Kuan Li, Yi Jin, Muhammad Waqar Akram, Rui Han, Jiongwei Chen
Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy. Vis. Comput. 36 (2) (2020)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR (2020)
Rui Han, Chi Harold Liu, Zan Zong, Lydia Y. Chen, Wending Liu, Siyi Wang, Jianfeng Zhan
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers. IEEE Trans. Parallel Distributed Syst. 30 (12) (2019)
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 (2019)
Rui Han, Lizy Kurian John, Jianfeng Zhan
Benchmarking Big Data Systems: A Review. IEEE Trans. Serv. Comput. 11 (3) (2018)
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)
Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan
Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. RTSS (2017)
Rui Han, Fan Zhang, Zhentao Wang
AccurateML: Information-aggregation-based Approximate Processing for Fast and Accurate Machine Learning on MapReduce. CoRR (2017)
Rui Han, Fan Zhang, Zhentao Wang
AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce. INFOCOM (2017)
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 (2017)
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) (2017)
Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, Lixin Zhang
Understanding Big Data Analytics Workloads on Modern Processors. IEEE Trans. Parallel Distributed Syst. 28 (6) (2017)
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)
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)
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 (2016)
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) (2016)
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 (2015)
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 (2015)
Rui Han, Zhen Jia, Wanling Gao, Xinhui Tian, Lei Wang
Benchmarking Big Data Systems: State-of-the-Art and Future Directions. CoRR (2015)
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)
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)
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)
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)
Lei Wang, Jianfeng Zhan, Zhen Jia, Rui Han
Characterization and Architectural Implications of Big Data Workloads. CoRR (2015)
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)
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 (2014)
Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li
Characterizing and Subsetting Big Data Workloads. CoRR (2014)
Rui Han, Xiaoyi Lu, Jiangtao Xu
On Big Data Benchmarking. BPOE@ASPLOS/VLDB (2014)
Rui Han, Moustafa Ghanem, Li Guo, Yike Guo, Michelle Osmond
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. Future Gener. Comput. Syst. 32 (2014)
Rui Han, Xiaoyi Lu
On Big Data Benchmarking. CoRR (2014)
Rui Han, Lei Nie, Moustafa Ghanem, Yike Guo
Elastic algorithms for guaranteeing quality monotonicity in big data mining. IEEE BigData (2013)
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)
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)
Xian Yang, Rui Han, Yike Guo, Jeremy T. Bradley, Benita Cox, Robert Dickinson, Richard Kitney
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA. BMC Bioinform. 13 (S-14) (2012)
Schahram Dustdar, Yike Guo, Rui Han, Benjamin Satzger, Hong Linh Truong
Programming Directives for Elastic Computing. IEEE Internet Comput. 16 (6) (2012)
Rui Han, Li Guo, Moustafa Ghanem, Yike Guo
Lightweight Resource Scaling for Cloud Applications. CCGRID (2012)
Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA (2012)
Yike Guo, Moustafa Ghanem, Rui Han
Does the Cloud need new algorithms? An introduction to elastic algorithms. CloudCom (2012)
Rui Han, Li Guo, Yike Guo, Sijin He
A Deployment Platform for Dynamically Scaling Applications in the Cloud. CloudCom (2011)
Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang
Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. APWeb (2010)
Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang
Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems. CSIE (7) (2009)
Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang
A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems. OTM Conferences (1) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rui Han