Publications [
]
[By Topic]
[By Year]
Notice: The copyright of these papers is with the respective publishers. It is being reproduced here for timely dissemination of scholarly information.
* = corresponding author of the paper with students or team members supervised by me. ' = co-first authors with equal contribution by alphabetical order. # = authors in alphabetical order
2024
• J. Zhao, R. Yang, S. Qiu, Z. Wang. Unleashing the Potential of Acquisition Functions in High Dimensional Bayesian Optimization. Transactions on Machine Learning Research (TMLR) 
• X. Sun, Q. Ye, H. Hu, J. Duan, T. Wo, J. Xu and R. Yang. LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy. IEEE International Conference on Data Engineering (ICDE)
• L. He, Y. Yang, Q. Wu, H. Liu, R. Yang, X. Wang, H. Peng, Y. Liao, P. Zhou. BotDGT: Dynamicity-aware Social Network Bot Detection with Dynamic Graph Transformers. The 33rd International Joint Conference on Artificial Intelligence (IJCAI)
• S. Kumar, R. Yang, R. Singh, R. Bahsoon, J. Xu, R. Buyya. MatchCom: Stable Matching-Based Software Services Composition in Cloud Computing Environments. The 24th International Conference on Web Engineering (ICWE)
• N. V. Shakhlevich, T. Erlebach, C. Mommessin, R. Yang, X. Sun, S. Kumar, J. Xiao, J. Xu. Vector Bin Packing for Resource Management in Distributed Systems: A Case Study. The 19th International Workshop on Project Management and Scheduling (PMS). The Association of European Operational Research Societies.
• T. Erlebach#, S. Kumar, C. Mommessin, N. V. Shakhlevich, X. Sun, J. Xiao, J. Xu, R. Yang#. Affinity Aware Scheduling in Distributed Computing via Vector Bin Packing. The 33rd European Conference on Operational Research (EURO 2024 Copenhagen).
2023
• R. Yang and J. Xu. Resilient QoS-Aware Workload Co-Scheduling and User Anomaly Detection in Shared Computing Clusters, the UK Alan Turing Institute Workshop on Edge-Cloud Infrastructure for Distributed Intelligent Computing
• Z. Wen, R. Yang*, B. Qian, Z. Wang, H. Peng, J. Xu, A.Y. Zomaya, R. Ranjan. Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments. IEEE Trans. on Services Computing (TSC)
• C. Mommessin', R. Yang'*, N. Shakhlevich, X. Sun, S. Kumar, J. Xiao, J. Xu. Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters, Journal of Parallel and Distributed Computing (JPDC)
• Y. Yang, R. Yang*, H. Peng, Y. Li, T. Li, Y. Liao, P. Zhou. FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection, ACM the Web Conference (WWW)
• D. Zou, H. Peng, X. Huang, R. Yang, J. Li, J. Wu, C. Liu, P. S. Yu. SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization, ACM the Web Conference (WWW)
• J. Zhao, R. Yang, S. Qiu, Z. Wang. Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization. arXiv Preprint, arXiv:2302.08298
2022
• R. Yang', J. Zhu', X. Sun, T. Wo, C. Hu, H. Peng, J. Xiao, A. Y. Zomaya, J. Xu. QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters, IEEE Trans. on Parallel and Distributed Systems (TPDS)
• Y. Song, L. Jiao, R. Yang, T. Wo and J. Xu. Incentivizing Online Content Caching in Distributed Edge Networks via Auction-Based Subsidization. 19th IEEE International Conference on Sensing, Communication, and Networking (SECON)
• X. Sun, W. Wang, S. Qiu, R. Yang, S. Huang, J. Xu, Z. Wang. STRONGHOLD: Fast and Affordable Billion-scale Deep Learning Model Training. IEEE/ACM SC 2022
• G. Yeung, B. Borowiec, R. Yang*, A. Friday, R. Harper, P. Garraghan. Horus: Interference-aware and Prediction-based Scheduling in Deep Learning Systems. IEEE Trans. on Parallel and Distributed Systems (TPDS)
• R. Yang', Y. Yang', Y. Li, K. Cui, Z. Yang, Y. Wang, J. Xu, H. Xie. RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search. ACM Trans. on the Web (TWEB), 2022
• H. Peng, R. Yang, Z. Wang, J. Li, L. He, P. S. Yu, A. Y. Zomaya, R. Ranjan. LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. on Computers (TC)
• Q. Li, H. Peng, J. Li, C. Xia, R. Yang, L. Sun, P. S. Yu, L. He. A Survey on Text Classification: from Traditional to Deep Learning. ACM Trans. on Intelligent Systems and Technology (TIST) • Z. Wen, H. Hu, R. Yang*, B. Qian, R. Sham, R. Sun, J. Xu, P. Patel, O. Rana, S. Dustdar, R. Ranjan. Orchestrating Networked Machine Learning Applications using Autosteer, IEEE Internet Computing 2021 • T. Li, Z. Hong, Q. Cai, L. Yu, Z. Wen, and R. Yang*. BISSIAM: Bispectrum Siamese Network Based
Contrastive Learning for UAV Anomaly Detection, IEEE Trans. on Knowledge and Data Engineering (TKDE) • Y. Hei', R. Yang', H. Peng, L. Wang, X. Xu, J. Liu, H. Liu, J. Xu, L. Sun. Hawk: Reliable Android Malware Detection through Heterogeneous Graph Neural Network. IEEE Trans. on Neural Networks and Learning Systems (TNNLS) (IF=14.26) • R. Yang', J. Zhu', C. Hu, T. Wo, S. Xue, J. Ouyang, J. Xu. Perph: A Workload Co-location Agent with Online Performance Prediction and Resource Inference. IEEE/ACM CCGRID 2021 • Y. Song, T. Wo, R. Yang*, Q. Shen and J. Xu. Joint Optimization of Cache Placement and Request Routing in Unreliable Networks. Journal of Parallel and Distributed Computing (JPDC) • H. Peng, J. Li, Z. Wang, R. Yang, M. Liu, M. Zhang, P. S. Yu, L. He. Lifelong Property Price Prediction: A Case Study for The Toronto Real Estate Market. IEEE Trans. on Knowledge and Data Engineering (TKDE) • H. Peng, J. Li, Y. Song, R. Yang, R. Ranjan, P. S. Yu, L. He. Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks, ACM Trans. on Knowledge Discovery from Data (TKDD) • H. Peng, R. Zhang, Y. Dou, R. Yang, J. Zhang, and P. S. Yu. Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Trans. on Information Systems (TOIS) 2020 • R. Yang, C. Hu, X. Sun, P. Garraghan, T. Wo, Z. Wen, H. Peng, J. Xu and C. Li. Performance-aware Speculative Resource Oversubscription for Large-scale Clusters,
IEEE Trans. on Parallel and Distributed Systems (TPDS), 2020
• B. Qian, J. Su, Z. Wen, D. N. Jha, Y. Li, Y. Guan, D. Puthal, P. James, R. Yang, A. Y. Zomaya, O. Rana, L. Wang, R. Ranjan. Orchestrating Development Lifecycle of ML-Based IoT Applications: a Survey. ACM Computing Surveys (CSUR), 2020
• R. Yang, Z. Wen, D. McKee, T. Lin, J. Xu and P. Garraghan. Software-Defined Fog Orchestration for IoT Services. Book Chapter, Fog and Fogonomics Challenges and Practices, Wiley, ISBN: 978-1-119-50109-1 [link]
[googlebook]
[preprint]
• Q. Li, H. Peng, J. Li, C. Xia, R. Yang, L. Sun, P. S. Yu, L. He. A Text Classification Survey: From Shallow to Deep Learning. arXiv Preprint, arXiv:2008.00364, 2020 • H. Peng, J. Li, Z. Wang, R. Yang, M. Liu, M. Zhang, P. S. Yu, L. He. Lifelong Property Price Prediction: A Case Study for The Toronto Real Estate Market. arXiv Preprint, arXiv:2008.05880, 2020 • G. Yeung, B. Borowiec, R. Yang*, A. Friday, R. Harper, P. Garraghan. Horus: An Interference-aware Resource Manager for Deep Learning Systems. International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2020
• C. Hu, J. Zhu, R. Yang*, H. Peng, T. Wo, S. Xue, X. Yu, J. Xu, R. Ranjan. Toposch: Latency-Aware Scheduling Based on Critical Path Analysis on Shared YARN Clusters. IEEE Conference on Cloud Computing (CLOUD), 2020
2019 • Z. Wen, T.Lin, R. Yang*, S. Ji, R. Ranjan, A. Romanovsky, C. Lin, J. Xu. GA-Par: Dependable Microservice Orchestration Framework for Geo-Distributed Clouds,
IEEE Trans. on Parallel and Distributed Systems (TPDS), 2019
[full version] • R. Yang', J. Zhu', C. Hu, T. Wo, S. Xue, J. Ouyang and J. Xu. Perphon: a ML-based Agent for Workload Co-location via Performance Prediction and Resource Inference. ACM Symposium on Cloud Computing (SoCC), 2019
• P. Garraghan, X. Ouyang, R. Yang*, D. McKee, J. Xu. Straggler Root-cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters, in IEEE Trans. on Services Computing (TSC) (IF=11.02, CCF-A) • H. Peng, J. Li, S. Wang, L. Wang, Q. Gong, R. Yang, B. Li, L. He and P. S. Yu. Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. on Knowledge and Data Engineering (TKDE), 2019 • S.Xue, C. Hu, J. Zhu, R. Yang*. Shaready: A Resource-Isolated Workload Co-location System. in the 13th IEEE SOSE, 2019
• P. Liu, R. Yang*, J. Sun, X. Liu.
SysOptic: A Fine-Grained Monitoring System for Virtual Machines Based on PMU. in the 13th IEEE SOSE, 2019
• P. Townend, S. J. Clement, D. Burdett, R. Yang, J. Shaw, B. Slater, J. Xu. Improving Data Center Efficiency Through Holistic Scheduling In Kubernetes. in the 13th IEEE SOSE, 2019
2018 and Before • R. Yang. Efficient and Reliable Resource Scheduling at Internet Scale: Theory and Practice, PhD. thesis, 2017 (with Honor, Outstanding Graduate Award of Beijing Graduates)
• R. Yang, Y. Zhang, P. Garraghan, Y.Feng, J. Ouyang, J. Xu, Z. Zhang, C. Li. Reliable Cloud Service in Massive-scale Systems through Effective Low-cost Failover. in IEEE Trans. on Services Computing (TSC) (IF=11.02, CCF-A)
• X. Sun, C. Hu, R. Yang*, P. Garraghan, T. Wo, J. Xu, J. Zhu, C. Li. ROSE: Cluster Resource Scheduling via Speculative Over-subscription. in the 38th IEEE ICDCS 2018 • X. Sun, C. Hu, R. Yang*, P. Garraghan, C. Li. ROSE: Cluster Scheduling through Efficient Resource Overselling, ACM/USENIX SOSP, 2017 (poster) • Z. Wen, R. Yang*, P. Garraghan, T.Lin, J. Xu and M. Rovatsos. Fog Orchestration for IoT Services, in IEEE Internet Computing (IC), IEEE Computer Society (SCI-IF = 1.929, Q1) • P. Garraghan, R. Yang*, Z. Wen, A. Romanovsky, J. Xu, R. Buyya, R. Ranjan. Emergent Failures: Rethinking Cloud Reliability at Scale. IEEE Cloud Computing, 2018 (SCI-IF = 2.929, Q1) • Z. Zhang, C. Li, Y. Tao, R. Yang*, H. Tang, J. Xu. Fuxi: a Fault-Tolerant Resource Management and Job Scheduling System at Internet Scale, in the 40th VLDB 2014 • X. Ouyang, P. Garraghan, R. Yang, P. Townend, and J. Xu. Reducing Late-Timing Failure at Scale: Straggler Root-Cause Analysis in Cloud Datacenters, in the 46th IEEE/IFIP DSN 2016 (short) • R. Yang, X. Ouyang, Y. Chen, P. Townend, J. Xu. Intelligent Resource Scheduling: a Machine Learning Perspective. in the 12th IEEE SOSE 2018, • R. Yang and J. Xu. Computing at Massive Scale: Scalability and Dependability Challenges, in the 10th IEEE International Symposium on Service Oriented System Engineering (SOSE 2016) • R. Yang, J. Ouyang, C. Hu. Fail at Scale. Communications of CCF, 2016 (In Chinese) • T. Wo, R. Yang, Y. Wang, C. Hu and J. Xu. Software-defined Storage in Joint Cloud. Communications of CCF, 2017 (In Chinese)
• R. Yang, T. Wo, C. Hu, J. Xu and M. Zhang. D2PS : a Dependable Data Provisioning Service in Multi-tenants Cloud Environment. in the 17th IEEE HASE 2016 • R. Yang, Z. Zhao, J. Ouyang, J. Xu. Cloud Evolution: Enterprise-Wide Digitalization over Clouds. Book Chapter, World Scientific Reference on Digital Data-Centric Platforms in the Age of IoT (invited chapter and in press) • L. Cui, J. Li, T. Wo, B. Li, R. Yang, Y. Cao, J. Huai. HotRestore: A Fast Restore System for Virtual Machine Cluster, in the 28th USENIX Large Installation System Administration Conference (LISA 2014) • Y. Zhang, M. Zhang, T. Wo, X. Lin, R. Yang, J. Xu. A Scalable lnternet-of-Vehicles Service over Joint Clouds. in the 9th IEEE JCC 2018 • L. Du, T. Wo, R. Yang*, C. Hu. Cider: a Rapid Docker Container Deployment System through Sharing Network Storage. in the 19th IEEE HPCC 2017
• X. Ouyang, C. Wang, R. Yang, P. Townend, J. Xu. ML-NA: a Machine Learning based Node Performance Analyzer Utilizing Straggler Statistics. In the 23th IEEE ICPADS 2017 • C. Hu, X. Wang, R. Yang and T. Wo. ScalaRDF: a Distributed, Elastic and Scalable In-Memory RDF Triple Store. in the 22th IEEE ICPADS 2016 • H. Wang, M. Zhang, R. Yang, X. Lin, T. Wo, R. Ranjan and J. Xu. SMTP: An Optimized Storage Model For Big Vehicle Trajectory Data Exploiting Trajectory Pattern. in the18th IEEE HPCC 2016, • W. Jiang, T. Wo, M. Zhang, R. Yang, J. Xu
A Method for Private Car Transportation Dispatching Based on a Passenger Demand Model. in the 2nd International Conference on Internet of Vehicles (IoV 2015),
• Y. Huang, R. Yang, L. Cui, T. Wo, C. Hu, B. Li. VMCSnap: Taking Snapshots of Virtual Machine Cluster with Memory Deduplication. in the 8th IEEE SOSE 2014 • Y. Wang, R. Yang, T. Wo, W. Jiang, C. Hu. Improving Utilization through Dynamic VM Resource Allocation in Hybrid Cloud Environment, in the 20th IEEE ICPADS 2014 • J. Li, J. Zheng, L. Cui and R. Yang. ConSnap: Taking Continuous Snapshots for Running State Protection of Virtual Machines, in the 20th IEEE ICPADS 2014 • B. Zhang, J. Kang, T. Wo, Y. Wang, R. Yang. a Flexible and Scalable Affinity Lock for the Kernel, in the 16th IEEE HPCC 2014 • I. S. Moreno, R. Yang, J. Xu, T. Wo. Improved Energy-Efficiency in Cloud Datacenters with Interference-Aware Virtual Machine Placement. in the 11th IEEE ISADS 2013 • R. Yang, I. S. Moreno, J. Xu, T. Wo. An Analysis of Performance Interference Effects on Energy-Efficiency of Virtualized Cloud Environments, in the IEEE CloudCom 2013 • Y. Zhang, R. Yang, T. Wo, C. Hu, J. Kang , L. Cui. CloudAP: Improving the QoS of Mobile Applications with Efficient VM Migration, in the 15th IEEE HPCC 2013 • W. Wang, C. Hu, T. Wo and R. Yang*. YarnPlus: A Yarn Based Framework for Fine-Grained Resource Sharing in Heterogeneous Computing Environments, in the 11th CCF CNCC 2013
(Highly Cited Paper)
(Hot Paper in ESI)
(Highly Cited Paper)
(Highly Cited Paper)
(Highly Cited Paper)
(Best Paper Award)