Rui Han

According to our database, Rui Han authored at least 65 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge.

Yidong Xu, Rui Han, Xiaojiang Zuo, Junyan Ouyang, Chi Harold Liu, Lydia Y. Chen

Future Gener. Comput. Syst., 2025

2024

ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen

IEEE Trans. Computers, June, 2024

FedViT: Federated continual learning of vision transformer at edge.

Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoyin Wang, Lydia Y. Chen

Future Gener. Comput. Syst., 2024

2023

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs.

Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen

J. Cloud Comput., December, 2023

Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning.

Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang

IEEE Trans. Mob. Comput., April, 2023

Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method.

Xiangwei Wang, Rui Han, Chi Harold Liu

CoRR, 2023

Evaluating Differential Privacy in Federated Continual Learning.

Junyan Ouyang, Rui Han, Chi Harold Liu

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge.

Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge.

Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.

Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin

IEEE Trans. Serv. Comput., 2022

Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge.

Jianxin Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang

IEEE Trans. Serv. Comput., 2022

Lightweight and Accurate DNN-Based Anomaly Detection at Edge.

Qinglong Zhang, Rui Han, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen

IEEE Trans. Parallel Distributed Syst., 2022

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge.

Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang

CoRR, 2022

An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning.

Xiaojiang Zuo, Qinglong Zhang, Rui Han

Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, 2022

An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services.

Xiaojiang Zuo, Xiao Wang, Rui Han

Proceedings of the IEEE INFOCOM 2022, 2022

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources.

Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen

Proceedings of the IEEE INFOCOM 2022, 2022

AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning.

Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang

Proceedings of the IEEE INFOCOM 2022, 2022

Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning.

Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms.

Rui Han, Shilin Li, Xiangwei Wang, Chi Harold Liu, Gaofeng Xin, Lydia Y. Chen

IEEE Trans. Parallel Distributed Syst., 2021

Accurate Differentially Private Deep Learning on the Edge.

Rui Han, Dong Li, Junyan Ouyang, Chi Harold Liu, Guoren Wang, Dapeng Wu, Lydia Y. Chen

IEEE Trans. Parallel Distributed Syst., 2021

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.

Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye

IEEE Trans. Knowl. Data Eng., 2021

Enhancing Robustness of On-Line Learning Models on Highly Noisy Data.

Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen

IEEE Trans. Dependable Secur. Comput., 2021

LegoDNN: block-grained scaling of deep neural networks for mobile vision.

Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach.

Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

LABELNET: Recovering Noisy Labels.

Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy.

Kuan Li, Yi Jin, Muhammad Waqar Akram, Rui Han, Jiongwei Chen

Vis. Comput., 2020

Accelerating Deep Learning Systems via Critical Set Identification and Model Compression.

Rui Han, Chi Harold Liu, Shilin Li, Shilin Wen, Xue Liu

IEEE Trans. Computers, 2020

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels.

Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen

CoRR, 2020

2019

Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers.

Rui Han, Chi Harold Liu, Zan Zong, Lydia Y. Chen, Wending Liu, Siyi Wang, Jianfeng Zhan

IEEE Trans. Parallel Distributed Syst., 2019

RAD: On-line Anomaly Detection for Highly Unreliable Data.

Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen

CoRR, 2019

SparkAIBench: A Benchmark to Generate AI Workloads on Spark.

Zifeng Liu, Xiaojiang Zuo, Zeqing Li, Rui Han

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2018

Benchmarking Big Data Systems: A Review.

Rui Han, Lizy Kurian John, Jianfeng Zhan

IEEE Trans. Serv. Comput., 2018

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs.

Rui Han, Zan Zong, Lydia Y. Chen, Siyi Wang, Jianfeng Zhan

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Understanding Big Data Analytics Workloads on Modern Processors.

Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, Lixin Zhang

IEEE Trans. Parallel Distributed Syst., 2017

CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services.

Rui Han, Siguang Huang, Zhentao Wang, Jianfeng Zhan

IEEE Trans. Parallel Distributed Syst., 2017

SaaS enabled admission control for MCMC simulation in cloud computing infrastructures.

José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Rui Han, W. Wang, Ignacio Martín Llorente

Comput. Phys. Commun., 2017

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning.

Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan

Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017

AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce.

Rui Han, Fan Zhang, Zhentao Wang

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems.

Rui Han, Zan Zong, Fan Zhang, José Luis Vázquez-Poletti, Zhen Jia, Lei Wang

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services.

Rui Han, Jianfeng Zhan, José Luis Vázquez-Poletti

Int. J. Parallel Program., 2016

AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services.

Rui Han, Siguang Huang, Fei Tang, Fu-Gui Chang, Jianfeng Zhan

Proceedings of the 45th International Conference on Parallel Processing, 2016

2015

Characterization and Architectural Implications of Big Data Workloads.

Lei Wang, Jianfeng Zhan, Zhen Jia, Rui Han

CoRR, 2015

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads.

Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Jiangtao Xu, Lizy K. John, Lei Wang, Jianfeng Zhan

CoRR, 2015

Benchmarking Big Data Systems: State-of-the-Art and Future Directions.

Rui Han, Zhen Jia, Wanling Gao, Xinhui Tian, Lei Wang

CoRR, 2015

PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services.

Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti

Proceedings of the 44th International Conference on Parallel Processing, 2015

Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services.

Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

SARP: producing approximate results with small correctness losses for cloud interactive services.

Rui Han, Junwei Wang, Fengming Ge, José Luis Vázquez-Poletti, Jianfeng Zhan

Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads.

Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Lizy K. John, Jiangtao Xu, Gang Lu, Lei Wang

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015

2014

Enabling cost-aware and adaptive elasticity of multi-tier cloud applications.

Rui Han, Moustafa Ghanem, Li Guo, Yike Guo, Michelle Osmond

Future Gener. Comput. Syst., 2014

On Big Data Benchmarking.

Rui Han, Xiaoyi Lu

CoRR, 2014

On Big Data Benchmarking.

Rui Han, Xiaoyi Lu, Jiangtao Xu

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014

Characterizing and subsetting big data workloads.

Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li

Proceedings of the 2014 IEEE International Symposium on Workload Characterization, 2014

2013

Investigations into elasticity in cloud computing.

Rui Han

PhD thesis, 2013

Towards Elastic Algorithms as a New Model of Computation for the Cloud.

Rui Han, Moustafa Ghanem, Yike Guo

Int. J. Next Gener. Comput., 2013

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking.

Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan

Proceedings of the Advancing Big Data Benchmarks, 2013

Elastic algorithms for guaranteeing quality monotonicity in big data mining.

Rui Han, Lei Nie, Moustafa Ghanem, Yike Guo

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Programming Directives for Elastic Computing.

Schahram Dustdar, Yike Guo, Rui Han, Benjamin Satzger, Hong Linh Truong

IEEE Internet Comput., 2012

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.

Xian Yang, Rui Han, Yike Guo, Jeremy T. Bradley, Benita Cox, Robert Dickinson, Richard Kitney

BMC Bioinform., 2012

Does the Cloud need new algorithms? An introduction to elastic algorithms.

Yike Guo, Moustafa Ghanem, Rui Han

Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

Lightweight Resource Scaling for Cloud Applications.

Rui Han, Li Guo, Moustafa Ghanem, Yike Guo

Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning.

Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han

Proceedings of the IEEE 26th International Conference on Advanced Information Networking and Applications, 2012

2011

A Deployment Platform for Dynamically Scaling Applications in the Cloud.

Rui Han, Li Guo, Yike Guo, Sijin He

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010

Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint.

Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang

Proceedings of the Advances in Web Technologies and Applications, 2010

2009

A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems.

Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems.

Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009