Rui Han - RankMe

84 papers A* 9A 3B 6C 3Journal 46Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accuracy-aware differential privacy in federated learning of large transformer models. J. Inf. Secur. Appl. Junyan Ouyang, Rui Han, Xiaojiang Zuo, Yunlai Cheng, Chi Harold Liu
2025	J	`jnl`	Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge. Future Gener. Comput. Syst. Yidong Xu, Rui Han, Xiaojiang Zuo, Junyan Ouyang, Chi Harold Liu, Lydia Y. Chen
2025	J	`jnl`	EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining. IEEE Trans. Mob. Comput. Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Song Guo, Lydia Y. Chen
2025	A*	`conf`	ElasticFed: Collaborative Large-Small Transformer Training for Federated Continual Learning at Edge. INFOCOM Yunlai Cheng, Rui Han, Qinglong Zhang, Chi Harold Liu
2025	J	`jnl`	Loci: Federated Continual Learning of Heterogeneous Tasks at Edge. IEEE Trans. Parallel Distributed Syst. Yaxin Luopan, Rui Han, Qinglong Zhang, Xiaojiang Zuo, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
2025	J	`jnl`	MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction. Appl. Soft Comput. Rui Han, Qun Liu, Xu Gong, Guoyin Wang, Li Liu, Xingping Xian
2025	J	`jnl`	MIFS: An adaptive multipath information fused self-supervised framework for drug discovery. Neural Networks Xu Gong, Qun Liu, Rui Han, Yike Guo, Guoyin Wang
2025	J	`jnl`	On Scheduling Early-Exit Layers for Model Pipeline in 6G-Based Edge Inference. IEEE Netw. Yuxiao Liu, Rui Han, Qinglong Zhang, Haiting Hou, Chi Harold Liu, Lydia Y. Chen
2024	—	`conf`	APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning. BIBM Xu Gong, Qun Liu, Rui Han, Li Liu, Yike Guo, Guoyin Wang
2024	—	`conf`	CMIF: A Cross-Modal Information Fusion Approach for Molecular Property Prediction. IJCRS (3) Maoyuan Zang, Xu Gong, Rui Han, Qun Liu
2024	J	`jnl`	ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. IEEE Trans. Computers Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
2024	J	`jnl`	FedViT: Federated continual learning of vision transformer at edge. Future Gener. Comput. Syst. Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoyin Wang, Lydia Y. Chen
2024	J	`jnl`	RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge. IEEE J. Emerg. Sel. Topics Circuits Syst. Xinyu Guo, Xiaojiang Zuo, Rui Han, Junyan Ouyang, Jing Xie, Chi Harold Liu, Qinglong Zhang, Ying Guo, Jing Chen, Lydia Y. Chen
2023	J	`jnl`	Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang
2023	A*	`conf`	EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. ICDE Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
2023	—	`conf`	Evaluating Differential Privacy in Federated Continual Learning. VTC Fall Junyan Ouyang, Rui Han, Chi Harold Liu
2023	J	`jnl`	Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. J. Cloud Comput. Shilin Wen, Rui Han, Chi Harold Liu, Lydia Y. Chen
2023	A*	`conf`	FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. ICDE Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
2023	J	`jnl`	Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method. CoRR Xiangwei Wang, Rui Han, Chi Harold Liu
2022	—	`conf`	An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services. INFOCOM Workshops Xiaojiang Zuo, Xiao Wang, Rui Han
2022	—	`conf`	An Empirical Analysis of Vision Transformer and CNN in Resource-Constrained Federated Learning. MLMI Xiaojiang Zuo, Qinglong Zhang, Rui Han
2022	A*	`conf`	AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. INFOCOM Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang
2022	A*	`conf`	EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. INFOCOM Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen
2022	J	`jnl`	FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. CoRR Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang
2022	J	`jnl`	Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. IEEE Trans. Serv. Comput. Jianxin Zhao, Rui Han, Yongkai Yang, Benjamin Catterall, Chi Harold Liu, Lydia Y. Chen, Richard Mortier, Jon Crowcroft, Liang Wang
2022	A*	`conf`	Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. ICDE Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang
2022	J	`jnl`	Lightweight and Accurate DNN-Based Anomaly Detection at Edge. IEEE Trans. Parallel Distributed Syst. Qinglong Zhang, Rui Han, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen
2022	J	`jnl`	MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
2021	J	`jnl`	Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. IEEE Trans. Parallel Distributed Syst. Rui Han, Shilin Li, Xiangwei Wang, Chi Harold Liu, Gaofeng Xin, Lydia Y. Chen
2021	J	`jnl`	Accurate Differentially Private Deep Learning on the Edge. IEEE Trans. Parallel Distributed Syst. Rui Han, Dong Li, Junyan Ouyang, Chi Harold Liu, Guoren Wang, Dapeng Wu, Lydia Y. Chen
2021	J	`jnl`	Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
2021	J	`jnl`	Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
2021	B	`conf`	LABELNET: Recovering Noisy Labels. IJCNN Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2021	J	`jnl`	LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. CoRR Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen
2021	A*	`conf`	LegoDNN: block-grained scaling of deep neural networks for mobile vision. MobiCom Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen
2021	A*	`conf`	Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. INFOCOM Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang
2021	J	`jnl`	SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye
2020	J	`jnl`	Accelerating Deep Learning Systems via Critical Set Identification and Model Compression. IEEE Trans. Computers Rui Han, Chi Harold Liu, Shilin Li, Shilin Wen, Xue Liu
2020	J	`jnl`	ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2020	J	`jnl`	Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy. Vis. Comput. Kuan Li, Yi Jin, Muhammad Waqar Akram, Rui Han, Jiongwei Chen
2019	J	`jnl`	RAD: On-line Anomaly Detection for Highly Unreliable Data. CoRR Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
2019	—	`conf`	SparkAIBench: A Benchmark to Generate AI Workloads on Spark. Bench Zifeng Liu, Xiaojiang Zuo, Zeqing Li, Rui Han
2019	J	`jnl`	Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers. IEEE Trans. Parallel Distributed Syst. Rui Han, Chi Harold Liu, Zan Zong, Lydia Y. Chen, Wending Liu, Siyi Wang, Jianfeng Zhan
2018	A	`conf`	AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs. ICDCS Rui Han, Zan Zong, Lydia Y. Chen, Siyi Wang, Jianfeng Zhan
2018	J	`jnl`	Benchmarking Big Data Systems: A Review. IEEE Trans. Serv. Comput. Rui Han, Lizy Kurian John, Jianfeng Zhan
2017	J	`jnl`	AccurateML: Information-aggregation-based Approximate Processing for Fast and Accurate Machine Learning on MapReduce. CoRR Rui Han, Fan Zhang, Zhentao Wang
2017	A*	`conf`	AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce. INFOCOM Rui Han, Fan Zhang, Zhentao Wang
2017	J	`jnl`	CLAP: Component-Level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. IEEE Trans. Parallel Distributed Syst. Rui Han, Siguang Huang, Zhentao Wang, Jianfeng Zhan
2017	B	`conf`	CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems. CLOUD Rui Han, Zan Zong, Fan Zhang, José Luis Vázquez-Poletti, Zhen Jia, Lei Wang
2017	J	`jnl`	SaaS enabled admission control for MCMC simulation in cloud computing infrastructures. Comput. Phys. Commun. José Luis Vázquez-Poletti, Rafael Moreno-Vozmediano, Rui Han, W. Wang, Ignacio Martín Llorente
2017	J	`jnl`	Understanding Big Data Analytics Workloads on Modern Processors. IEEE Trans. Parallel Distributed Syst. Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, Lixin Zhang
2017	A	`conf`	Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. RTSS Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan
2016	B	`conf`	AccuracyTrader: Accuracy-Aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. ICPP Rui Han, Siguang Huang, Fei Tang, Fu-Gui Chang, Jianfeng Zhan
2016	J	`jnl`	AccuracyTrader: Accuracy-aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. CoRR Rui Han, Siguang Huang, Fei Tang, Fu-Gui Chang, Jianfeng Zhan
2016	—	`ed.`	Big Data Benchmarks, Performance Optimization, and Emerging Hardware - 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers BPOE Jianfeng Zhan, Rui Han, Roberto V. Zicari
2016	J	`jnl`	SARP: Synopsis-Based Approximate Request Processing for Low Latency and Small Correctness Loss in Cloud Online Services. Int. J. Parallel Program. Rui Han, Jianfeng Zhan, José Luis Vázquez-Poletti
2015	J	`jnl`	Benchmarking Big Data Systems: State-of-the-Art and Future Directions. CoRR Rui Han, Zhen Jia, Wanling Gao, Xinhui Tian, Lei Wang
2015	—	`conf`	BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. BPOE Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Lizy K. John, Jiangtao Xu, Gang Lu, Lei Wang
2015	J	`jnl`	BigDataBench-MT: A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. CoRR Rui Han, Shulin Zhan, Chenrong Shao, Junwei Wang, Jiangtao Xu, Lizy K. John, Lei Wang, Jianfeng Zhan
2015	J	`jnl`	Characterization and Architectural Implications of Big Data Workloads. CoRR Lei Wang, Jianfeng Zhan, Zhen Jia, Rui Han
2015	A	`conf`	Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services. ICDCS Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti
2015	B	`conf`	PCS: Predictive Component-Level Scheduling for Reducing Tail Latency in Cloud Online Services. ICPP Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti
2015	J	`jnl`	PCS: Predictive Component-level Scheduling for Reducing Tail Latency in Cloud Online Services. CoRR Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, José Luis Vázquez-Poletti
2015	—	`conf`	SARP: producing approximate results with small correctness losses for cloud interactive services. Conf. Computing Frontiers Rui Han, Junwei Wang, Fengming Ge, José Luis Vázquez-Poletti, Jianfeng Zhan
2014	J	`jnl`	BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. CoRR Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan
2014	—	`ed.`	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 BPOE@ASPLOS/VLDB Jianfeng Zhan, Rui Han, Chuliang Weng
2014	J	`jnl`	Characterizing and Subsetting Big Data Workloads. CoRR Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li
2014	—	`conf`	Characterizing and subsetting big data workloads. IISWC Zhen Jia, Jianfeng Zhan, Lei Wang, Rui Han, Sally A. McKee, Qiang Yang, Chunjie Luo, Jingwei Li
2014	J	`jnl`	Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. Future Gener. Comput. Syst. Rui Han, Moustafa Ghanem, Li Guo, Yike Guo, Michelle Osmond
2014	—	`conf`	On Big Data Benchmarking. BPOE@ASPLOS/VLDB Rui Han, Xiaoyi Lu, Jiangtao Xu
2014	J	`jnl`	On Big Data Benchmarking. CoRR Rui Han, Xiaoyi Lu
2013	—	`conf`	BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. WBDB Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan
2013	—	`conf`	Elastic algorithms for guaranteeing quality monotonicity in big data mining. IEEE BigData Rui Han, Lei Nie, Moustafa Ghanem, Yike Guo
2013	—	`—`	Investigations into elasticity in cloud computing. Rui Han
2013	J	`jnl`	Towards Elastic Algorithms as a New Model of Computation for the Cloud. Int. J. Next Gener. Comput. Rui Han, Moustafa Ghanem, Yike Guo
2012	C	`conf`	Does the Cloud need new algorithms? An introduction to elastic algorithms. CloudCom Yike Guo, Moustafa Ghanem, Rui Han
2012	B	`conf`	Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han
2012	B	`conf`	Lightweight Resource Scaling for Cloud Applications. CCGRID Rui Han, Li Guo, Moustafa Ghanem, Yike Guo
2012	J	`jnl`	Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA. BMC Bioinform. Xian Yang, Rui Han, Yike Guo, Jeremy T. Bradley, Benita Cox, Robert Dickinson, Richard Kitney
2012	J	`jnl`	Programming Directives for Elastic Computing. IEEE Internet Comput. Schahram Dustdar, Yike Guo, Rui Han, Benjamin Satzger, Hong Linh Truong
2011	C	`conf`	A Deployment Platform for Dynamically Scaling Applications in the Cloud. CloudCom Rui Han, Li Guo, Yike Guo, Sijin He
2010	C	`conf`	Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint. APWeb Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang
2009	—	`conf`	A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems. OTM Conferences (1) Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang
2009	—	`conf`	Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems. CSIE (7) Rui Han, Yingbo Liu, Lijie Wen, Jianmin Wang