Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLydia Y. Chen
Lydia Yiyu Chen – Yiyu Chen 0001
Person information
- affiliation: IBM Research, Zurich, Switzerland
- affiliation (former): Pennsylvania State University, University Park, PA, USA
Other persons with the same name
- Yiyu Chen — disambiguation page
- Yiyu Chen 0002 — Korea University, Department of Brain and Cognitive Engineering, Seoul, South Korea
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j41]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): 90 (2023)- [c128]Zilong Zhao, Robert Birke, Lydia Y. Chen:
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD 2023: 570-576 - [c127]Zilong Zhao
, Robert Birke, Lydia Y. Chen:
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM 2023: 4450-4454 - [c126]Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Fabricated Flips: Poisoning Federated Learning without Data. DSN 2023: 274-287 - [c125]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: 341-354 - [c124]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: 3643-3646 - [c123]Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen:
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. ICML 2023: 43158-43180 - [c122]Yasmine Djebrouni, Isabelly Rocha, Sara Bouchenak, Lydia Y. Chen, Pascal Felber, Vania Marangozova, Valerio Schiavoni:
Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper). Middleware 2023: 151-164 - [c121]Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos:
Maverick Matters: Client Contribution and Selection in Federated Learning. PAKDD (2) 2023: 269-282 - [c120]Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen:
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) 2023: 20-35 - [c119]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM 2023: 568-576 - [i35]Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen:
GTV: Generating Tabular Data via Vertical Federated Learning. CoRR abs/2302.01706 (2023) - [i34]Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen:
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. CoRR abs/2309.06046 (2023) - [i33]Zilong Zhao, Robert Birke, Lydia Y. Chen:
TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR abs/2310.12746 (2023) - [i32]Jui-Yi Tsai, Ya-Wen Teng, Ho Chiok Yew, De-Nian Yang, Lydia Y. Chen:
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model. CoRR abs/2311.01729 (2023) - 2022
- [j40]Bart Cox, Robert Birke, Lydia Y. Chen:
Memory-aware and context-aware multi-DNN inference on the edge. Pervasive Mob. Comput. 83: 101594 (2022) - [j39]Jin Wang, Hui Han, Hao Li, Shiming He, Pradip Kumar Sharma, Lydia Y. Chen:
Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. IEEE Trans. Ind. Informatics 18(3): 1939-1948 (2022) - [j38]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): 2927-2942 (2022) - [j37]Jianxin 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): 614-626 (2022) - [c118]Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen:
Trusted Loss Correction for Noisy Multi-Label Learning. ACML 2022: 343-358 - [c117]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Multi Label Loss Correction against Missing and Corrupted Labels. ACML 2022: 359-374 - [c116]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. IEEE Big Data 2022: 5855-5864 - [c115]Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. CIKM 2022: 4515-4519 - [c114]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) 2022: 56-66 - [c113]Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke:
Performance Modeling for Short-Term Cache Allocation. ICPP 2022: 31:1-31:11 - [c112]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: 880-889 - [c111]Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel:
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. ISSRE 2022: 193-204 - [c110]Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Y. Chen:
EdgeTune: Inference-Aware Multi-Parameter Tuning. Middleware 2022: 1-14 - [c109]Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Aergia: leveraging heterogeneity in federated learning systems. Middleware 2022: 107-120 - [c108]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS 2022: 12-22 - [i31]Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen:
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. CoRR abs/2201.09967 (2022) - [i30]Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. CoRR abs/2202.00008 (2022) - [i29]Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. CoRR abs/2202.05877 (2022) - [i28]Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen:
CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR abs/2204.00401 (2022) - [i27]Federico Lucchetti, Jérémie Decouchant, Maria Fernandes, Lydia Y. Chen, Marcus Völp:
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. CoRR abs/2204.11017 (2022) - [i26]Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR abs/2204.13784 (2022) - [i25]Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. CoRR abs/2208.12649 (2022) - [i24]Bart Cox, Lydia Y. Chen, Jérémie Decouchant:
Aergia: Leveraging Heterogeneity in Federated Learning Systems. CoRR abs/2210.06154 (2022) - [i23]Zilong Zhao, Robert Birke, Lydia Y. Chen:
FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR abs/2210.06239 (2022) - [i22]Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel:
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. CoRR abs/2210.06856 (2022) - [i21]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. CoRR abs/2211.09286 (2022) - 2021
- [j36]Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Yiyu Chen, Keqin Li:
Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis. Trans. Data Sci. 2(4): 37:1-37:27 (2021) - [j35]Sophie Cerf, Sara Bouchenak, Bogdan Robu, Nicolas Marchand, Vincent Primault, Sonia Ben Mokhtar, Antoine Boutet, Lydia Y. Chen:
Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. IEEE Trans. Dependable Secur. Comput. 18(1): 269-282 (2021) - [j34]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): 2177-2192 (2021) - [j33]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): 2223-2236 (2021) - [j32]Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. 18(1): 775-779 (2021) - [j31]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): 1591-1602 (2021) - [j30]Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li:
SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. 32(7): 1828-1841 (2021) - [j29]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): 2231-2247 (2021) - [j28]Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen:
sPARE: Partial Replication for Multi-Tier Applications in the Cloud. IEEE Trans. Serv. Comput. 14(2): 574-588 (2021) - [c107]Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen:
CTAB-GAN: Effective Table Data Synthesizing. ACML 2021: 97-112 - [c106]Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
QActor: Active Learning on Noisy Labels. ACML 2021: 548-563 - [c105]Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT 2021: 52-62 - [c104]Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen:
On Influencing the Influential: Disparity Seeding. CIKM 2021: 1804-1813 - [c103]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
LABELNET: Recovering Noisy Labels. IJCNN 2021: 1-8 - [c102]Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan:
Practical Analysis of Replication-Based Systems. INFOCOM 2021: 1-10 - [c101]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: 406-419 - [c100]Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Masa: Responsive Multi-DNN Inference on the Edge. PerCom 2021: 1-10 - [c99]Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke:
MemA: Fast Inference of Multiple Deep Models. PerCom Workshops 2021: 281-286 - [c98]Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops 2021: 446-447 - [c97]Diego Albo Martínez, Sharwin Bobde, Tomasz Motyka, Lydia Yiyu Chen:
Courier: Real-Time Optimal Batch Size Prediction for Latency SLOs in BigDL. ICPE 2021: 133-144 - [c96]Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen:
Online Label Aggregation: A Variational Bayesian Approach. WWW 2021: 1904-1915 - [i20]Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen:
CTAB-GAN: Effective Table Data Synthesizing. CoRR abs/2102.08369 (2021) - [i19]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 abs/2103.10824 (2021) - [i18]Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos:
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. CoRR abs/2106.10734 (2021) - [i17]Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen:
DTGAN: Differential Private Training for Tabular GANs. CoRR abs/2107.02521 (2021) - [i16]Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR abs/2108.02032 (2021) - [i15]Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen:
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR abs/2108.07927 (2021) - [i14]Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen:
ComicGAN: Text-to-Comic Generative Adversarial Network. CoRR abs/2109.09120 (2021) - [i13]Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li:
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. CoRR abs/2111.11682 (2021) - [i12]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 abs/2112.09852 (2021) - 2020
- [j27]Rajiv Ranjan, Lydia Y. Chen, Prem Prakash Jayaraman, Albert Y. Zomaya:
A note on advances in scheduling algorithms for Cyber-Physical-Social workflows. Future Gener. Comput. Syst. 108: 1027-1029 (2020) - [j26]A. Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. 17(4): 1971-1974 (2020) - [j25]Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos:
Holistic Technologies for Managing Internet of Things Services. IEEE Trans. Serv. Comput. 13(4): 597-601 (2020) - [j24]Joel Vallone, Robert Birke, Lydia Y. Chen:
Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention. IEEE Trans. Serv. Comput. 13(5): 843-856 (2020) - [c95]Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI 2020: 17-26 - [c94]Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni:
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. Middleware 2020: 89-104 - [c93]Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos:
An Exploratory Analysis on Users' Contributions in Federated Learning. TPS-ISA 2020: 20-29 - [i11]Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR abs/2001.10399 (2020) - [i10]Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen:
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR abs/2007.05305 (2020) - [i9]Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen:
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR abs/2007.06324 (2020) - [i8]Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni:
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. CoRR abs/2010.00501 (2020) - [i7]Taraneh Younesian, Dick H. J. Epema, Lydia Y. Chen:
Active Learning for Noisy Data Streams Using Weak and Strong Labelers. CoRR abs/2010.14149 (2020) - [i6]Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos:
An Exploratory Analysis on Users' Contributions in Federated Learning. CoRR abs/2011.06830 (2020) - [i5]Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR abs/2011.06833 (2020) - [i4]Arwen Teng, Ting-Wei Li, Yu-chi Liao, Hsi-Wen Chen, Yvonne-Anne Pignolet, De-Nian Yang, Lydia Y. Chen:
On Influencing the Influential: Disparity Seeding. CoRR abs/2011.08946 (2020) - [i3]Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li:
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. CoRR abs/2012.03550 (2020)
2010 – 2019
- 2019
- [j23]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): 2879-2895 (2019) - [c92]Bingqian Lu, Jianyi Yang, Lydia Y. Chen, Shaolei Ren:
Automating Deep Neural Network Model Selection for Edge Inference. CogMI 2019: 184-193 - [c91]Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen:
Robust Anomaly Detection on Unreliable Data. DSN 2019: 630-637 - [c90]Robert Birke, Juan F. Pérez, Sonia Ben Mokhtar, Navaneeth Rameshan, Lydia Y. Chen:
Chisel: Reshaping Queries to Trim Latency in Key-Value Stores. ICAC 2019: 42-51 - [c89]Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen:
Differential Approximation and Sprinting for Multi-Priority Big Data Engines. Middleware 2019: 202-214 - [c88]Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen:
Robust (Deep) Learning Framework Against Dirty Labels and Beyond. TPS-ISA 2019: 236-244 - [c87]Lydia Y. Chen:
Opportunities and Challenges for Resource Management and Machine Learning Clusters. UCC Companion 2019: 165-166 - [i2]Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen:
Differential Approximation and Sprinting for Multi-Priority Big Data Engines. CoRR abs/1909.05531 (2019) - [i1]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 abs/1911.04383 (2019) - 2018
- [j22]Juan Fernando Pérez, Lydia Y. Chen, Massimo Villari, Rajiv Ranjan:
Holistic Workload Scaling: A New Approach to Compute Acceleration in the Cloud. IEEE Cloud Comput. 5(1): 20-30 (2018) - [j21]Meisong Wang, Prem Prakash Jayaraman, Ellis Solaiman, Lydia Y. Chen, Zheng Li, Jun Song, Dimitrios Georgakopoulos, Rajiv Ranjan:
A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications. Future Gener. Comput. Syst. 87: 580-590 (2018) - [j20]Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Aayush Gupta, Lydia Y. Chen, Robert Birke:
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ACM Trans. Auton. Adapt. Syst. 13(1): 2:1-2:25 (2018) - [j19]Mathias Björkqvist, Natarajan Gautam, Robert Birke, Lydia Y. Chen, Walter Binder:
Optimizing for Tail Sojourn Times of Cloud Clusters. IEEE Trans. Cloud Comput. 6(1): 156-167 (2018) - [j18]Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers. IEEE Trans. Netw. Serv. Manag. 15(1): 39-52 (2018) - [c86]Rania Talbi, Sara Bouchenak, Lydia Y. Chen:
Towards Dynamic End-to-End Privacy Preserving Data Classification. DSN Workshops 2018: 73-74 - [c85]Nathaniel Morris, Christopher Stewart, Lydia Y. Chen, Robert Birke, Jaimie Kelley:
Model-driven computational sprinting. EuroSys 2018: 38:1-38:13 - [c84]Ewnetu Bayuh Lakew, Robert Birke, Juan F. Pérez, Erik Elmroth, Lydia Y. Chen:
SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems. ICAC 2018: 31-40 - [c83]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: 1519-1526 - [c82]Xinman Zhang, Jiayu Zhang, Tingting He, Lydia Yiyu Chen, Yuanjun Shen, Xuebin Xu:
A Speech and Lip Authentication System Based On Android Smart Phone. ICIT 2018: 110-114 - [c81]Vikas Jaiman, Sonia Ben Mokhtar, Vivien Quéma, Lydia Y. Chen, Etienne Rivière:
Héron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads. SRDS 2018: 191-200 - 2017
- [j17]Massimo Villari, Maria Fazio, Schahram Dustdar, Omer F. Rana, Lydia Y. Chen, Rajiv Ranjan:
Software Defined Membrane: Policy-Driven Edge and Internet of Things Security. IEEE Cloud Comput. 4(4): 92-99 (2017) - [j16]Luca Chiaraviglio, Nicola Blefari-Melazzi, William Liu, Jairo A. Gutiérrez, Jaap van de Beek, Robert Birke, Lydia Y. Chen, Filip Idzikowski, Daniel C. Kilper, Paolo Monti, Antoine B. Bagula, Jinsong Wu:
Bringing 5G into Rural and Low-Income Areas: Is It Feasible? IEEE Commun. Stand. Mag. 1(3): 50-57 (2017) - [j15]Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma:
Reprint of "Robust partial-load experiments with Showstopper". Future Gener. Comput. Syst. 72: 81-104 (2017) - [j14]Derya Cavdar, Lydia Y. Chen, Fatih Alagöz:
Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time. IEEE Syst. J. 11(2): 684-695 (2017) - [j13]