Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems. - Rui Han 001; Yingbo Liu; Lijie Wen 001; Jianmin Wang 001 (CSIE (7), 2009)

A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems. - Rui Han 001; Yingbo Liu; Lijie Wen 001; Jianmin Wang 001 (OTM Conferences (1), 2009)

Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. - Rui Han 001; Yingbo Liu; Lijie Wen 001; Jianmin Wang 001 (APWeb, 2010)

A Deployment Platform for Dynamically Scaling Applications in the Cloud. - Rui Han 001; Li Guo 002; Yike Guo; Sijin He (CloudCom, 2011)

Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. - Sijin He; Li Guo 002; Yike Guo; Chao Wu 001; Moustafa Ghanem; Rui Han 001 (AINA, 2012)

Lightweight Resource Scaling for Cloud Applications. - Rui Han 001; Li Guo 002; Moustafa Ghanem; Yike Guo (CCGRID, 2012)

Does the Cloud need new algorithms? An introduction to elastic algorithms. - Yike Guo; Moustafa Ghanem; Rui Han 001 (CloudCom, 2012)

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA. - Xian Yang 001; Rui Han 001; Yike Guo; Jeremy T. Bradley; Benita Cox; Robert Dickinson; Richard Kitney (BMC Bioinform., 2012)

Programming Directives for Elastic Computing. - Schahram Dustdar; Yike Guo; Rui Han 001; Benjamin Satzger; Hong Linh Truong 001 (IEEE Internet Comput., 2012)

Elastic algorithms for guaranteeing quality monotonicity in big data mining. - Rui Han 001; Lei Nie; Moustafa Ghanem; Yike Guo (IEEE BigData, 2013)

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. - Zijian Ming; Chunjie Luo; Wanling Gao; Rui Han 001; Qiang Yang 012; Lei Wang 004; Jianfeng Zhan (WBDB, 2013)

Towards Elastic Algorithms as a New Model of Computation for the Cloud. - Rui Han 001; Moustafa Ghanem; Yike Guo (Int. J. Next Gener. Comput., 2013)

Investigations into elasticity in cloud computing. - Rui Han 001 (2013)

Characterizing and subsetting big data workloads. - Zhen Jia 001; Jianfeng Zhan; Lei Wang 004; Rui Han 001; Sally A. McKee; Qiang Yang 012; Chunjie Luo; Jingwei Li (IISWC, 2014)

On Big Data Benchmarking. - Rui Han 001; Xiaoyi Lu; Jiangtao Xu (BPOE@ASPLOS/VLDB, 2014)

On Big Data Benchmarking. - Rui Han 001; Xiaoyi Lu (CoRR, 2014)

Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. - Rui Han 001; Moustafa Ghanem; Li Guo 002; Yike Guo; Michelle Osmond (Future Gener. Comput. Syst., 2014)

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. - Rui Han 001; Shulin Zhan; Chenrong Shao; Junwei Wang; Lizy K. John; Jiangtao Xu; Gang Lu; Lei Wang 004 (BPOE, 2015)

SARP: producing approximate results with small correctness losses for cloud interactive services. - Rui Han 001; Junwei Wang; Fengming Ge; José Luis Vázquez-Poletti; Jianfeng Zhan (Conf. Computing Frontiers, 2015)

Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services. - Rui Han 001; Junwei Wang; Siguang Huang; Chenrong Shao; Shulin Zhan; Jianfeng Zhan; José Luis Vázquez-Poletti (ICDCS, 2015)

PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services. - Rui Han 001; Junwei Wang; Siguang Huang; Chenrong Shao; Shulin Zhan; Jianfeng Zhan; José Luis Vázquez-Poletti (ICPP, 2015)

Benchmarking Big Data Systems: State-of-the-Art and Future Directions. - Rui Han 001; Zhen Jia 001; Wanling Gao; Xinhui Tian; Lei Wang 004 (CoRR, 2015)

BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. - Rui Han 001; Shulin Zhan; Chenrong Shao; Junwei Wang; Jiangtao Xu; Lizy K. John; Lei Wang 004; Jianfeng Zhan (CoRR, 2015)

Characterization and Architectural Implications of Big Data Workloads. - Lei Wang 004; Jianfeng Zhan; Zhen Jia 001; Rui Han 001 (CoRR, 2015)

AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. - Rui Han 001; Siguang Huang; Fei Tang; Fu-Gui Chang; Jianfeng Zhan (ICPP, 2016)

SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services. - Rui Han 001; Jianfeng Zhan; José Luis Vázquez-Poletti (Int. J. Parallel Program., 2016)

CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems. - Rui Han 001; Zan Zong; Fan Zhang 047; José Luis Vázquez-Poletti; Zhen Jia 001; Lei Wang 004 (CLOUD, 2017)

AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce. - Rui Han 001; Fan Zhang 047; Zhentao Wang (INFOCOM, 2017)

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. - Rui Han 001; Fan Zhang 047; Lydia Y. Chen; Jianfeng Zhan (RTSS, 2017)

SaaS enabled admission control for MCMC simulation in cloud computing infrastructures. - José Luis Vázquez-Poletti; Rafael Moreno-Vozmediano; Rui Han 001; W. Wang; Ignacio Martín Llorente (Comput. Phys. Commun., 2017)

CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. - Rui Han 001; Siguang Huang; Zhentao Wang; Jianfeng Zhan (IEEE Trans. Parallel Distributed Syst., 2017)

Understanding Big Data Analytics Workloads on Modern Processors. - Zhen Jia 001; Jianfeng Zhan; Lei Wang 004; Chunjie Luo; Wanling Gao; Yi Jin; Rui Han 001; Lixin Zhang 002 (IEEE Trans. Parallel Distributed Syst., 2017)

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs. - Rui Han 001; Zan Zong; Lydia Y. Chen; Siyi Wang; Jianfeng Zhan (ICDCS, 2018)

Benchmarking Big Data Systems: A Review. - Rui Han 001; Lizy Kurian John; Jianfeng Zhan (IEEE Trans. Serv. Comput., 2018)

SparkAIBench: A Benchmark to Generate AI Workloads on Spark. - Zifeng Liu; Xiaojiang Zuo; Zeqing Li; Rui Han 001 (Bench, 2019)

RAD: On-line Anomaly Detection for Highly Unreliable Data. - Zilong Zhao 001; Robert Birke; Rui Han 001; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (CoRR, 2019)

Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers. - Rui Han 001; Chi Harold Liu; Zan Zong; Lydia Y. Chen; Wending Liu; Siyi Wang; Jianfeng Zhan (IEEE Trans. Parallel Distributed Syst., 2019)

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. - Amirmasoud Ghiassi; Robert Birke; Rui Han 001; Lydia Y. Chen (CoRR, 2020)

Accelerating Deep Learning Systems via Critical Set Identification and Model Compression. - Rui Han 001; Chi Harold Liu; Shilin Li; Shilin Wen; Xue Liu 001 (IEEE Trans. Computers, 2020)

Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy. - Kuan Li; Yi Jin 002; Muhammad Waqar Akram; Rui Han 001; Jiongwei Chen (Vis. Comput., 2020)

LABELNET: Recovering Noisy Labels. - Amirmasoud Ghiassi; Robert Birke; Rui Han 001; Lydia Y. Chen (IJCNN, 2021)

Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. - Zipeng Dai; Hao Wang 193; Chi Harold Liu; Rui Han 001; Jian Tang 008; Guoren Wang (INFOCOM, 2021)

LegoDNN: block-grained scaling of deep neural networks for mobile vision. - Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoren Wang; Jian Tang 008; Lydia Y. Chen (MobiCom, 2021)

Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. - Zilong Zhao 001; Robert Birke; Rui Han 001; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (IEEE Trans. Dependable Secur. Comput., 2021)

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. - Rui Han 001; Chi Harold Liu; Shilin Li; Lydia Y. Chen; Guoren Wang; Jian Tang 008; Jieping Ye (IEEE Trans. Knowl. Data Eng., 2021)

Accurate Differentially Private Deep Learning on the Edge. - Rui Han 001; Dong Li; Junyan Ouyang; Chi Harold Liu; Guoren Wang; Dapeng Wu 001; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. - Rui Han 001; Shilin Li; Xiangwei Wang; Chi Harold Liu; Gaofeng Xin; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. - Yu Wang 115; Chi Harold Liu; Chengzhe Piao; Ye Yuan 001; Rui Han 001; Guoren Wang; Jian Tang 008 (ICDE, 2022)

AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. - Zipeng Dai; Chi Harold Liu; Yuxiao Ye; Rui Han 001; Ye Yuan 001; Guoren Wang; Jian Tang 008 (INFOCOM, 2022)

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. - Rui Han 001; Shilin Wen; Chi Harold Liu; Ye Yuan 001; Guoren Wang; Lydia Y. Chen (INFOCOM, 2022)

An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services. - Xiaojiang Zuo; Xiao Wang; Rui Han 001 (INFOCOM Workshops, 2022)

An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning. - Xiaojiang Zuo; Qinglong Zhang; Rui Han 001 (MLMI, 2022)

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. - Yaxin Luopan; Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoren Wang (CoRR, 2022)

Lightweight and Accurate DNN-Based Anomaly Detection at Edge. - Qinglong Zhang; Rui Han 001; Gaofeng Xin; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2022)

Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. - Jianxin Zhao 001; Rui Han 001; Yongkai Yang; Benjamin Catterall; Chi Harold Liu; Lydia Y. Chen; Richard Mortier; Jon Crowcroft; Liang Wang 009 (IEEE Trans. Serv. Comput., 2022)

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. - Zan Zong; Lijie Wen 001; Xuming Hu; Rui Han 001; Chen Qian 003; Li Lin 011 (IEEE Trans. Serv. Comput., 2022)

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. - Yaxin Luopan; Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (ICDE, 2023)

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (ICDE, 2023)

Evaluating Differential Privacy in Federated Continual Learning. - Junyan Ouyang; Rui Han 001; Chi Harold Liu (VTC Fall, 2023)

Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method. - Xiangwei Wang; Rui Han 001; Chi Harold Liu (CoRR, 2023)

Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. - Zipeng Dai; Chi Harold Liu; Rui Han 001; Guoren Wang; Kin K. Leung; Jian Tang 008 (IEEE Trans. Mob. Comput., 2023)

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. - Shilin Wen; Rui Han 001; Chi Harold Liu; Lydia Y. Chen (J. Cloud Comput., 2023)

APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning. - Xu Gong; Qun Liu 005; Rui Han 001; Li Liu 030; Yike Guo; Guoyin Wang 001 (BIBM, 2024)

CMIF: A Cross-Modal Information Fusion Approach for Molecular Property Prediction. - Maoyuan Zang; Xu Gong; Rui Han 001; Qun Liu 005 (IJCRS (3), 2024)

FedViT: Federated continual learning of vision transformer at edge. - Xiaojiang Zuo; Yaxin Luopan; Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoyin Wang 001; Lydia Y. Chen (Future Gener. Comput. Syst., 2024)

ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (IEEE Trans. Computers, 2024)

RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge. - Xinyu Guo; Xiaojiang Zuo; Rui Han 001; Junyan Ouyang; Jing Xie; Chi Harold Liu; Qinglong Zhang; Ying Guo; Jing Chen 030; Lydia Y. Chen (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

ElasticFed: Collaborative Large-Small Transformer Training for Federated Continual Learning at Edge. - Yunlai Cheng; Rui Han 001; Qinglong Zhang; Chi Harold Liu (INFOCOM, 2025)

MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction. - Rui Han 001; Qun Liu 005; Xu Gong; Guoyin Wang 001; Li Liu 030; Xingping Xian (Appl. Soft Comput., 2025)

Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge. - Yidong Xu; Rui Han 001; Xiaojiang Zuo; Junyan Ouyang; Chi Harold Liu; Lydia Y. Chen (Future Gener. Comput. Syst., 2025)

Accuracy-aware differential privacy in federated learning of large transformer models. - Junyan Ouyang; Rui Han 001; Xiaojiang Zuo; Yunlai Cheng; Chi Harold Liu (J. Inf. Secur. Appl., 2025)

MIFS: An adaptive multipath information fused self-supervised framework for drug discovery. - Xu Gong; Qun Liu 005; Rui Han 001; Yike Guo; Guoyin Wang 001 (Neural Networks, 2025)

EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Song Guo 001; Lydia Y. Chen (IEEE Trans. Mob. Comput., 2025)