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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
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Journal Articles
- 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)- 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) - 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) - 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]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) - 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) - 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) - 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]Zhan Qiu, Juan F. Pérez, Robert Birke, Lydia Y. Chen, Peter G. Harrison:
Cutting Latency Tail: Analyzing and Validating Replication without Canceling. IEEE Trans. Parallel Distributed Syst. 28(11): 3128-3141 (2017) - [j12]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Failure Analysis and Prediction for Big-Data Systems. IEEE Trans. Serv. Comput. 10(6): 984-998 (2017) - 2016
- [j11]Maria Fazio, Antonio Celesti, Rajiv Ranjan, Chang Liu, Lydia Y. Chen, Massimo Villari:
Open Issues in Scheduling Microservices in the Cloud. IEEE Cloud Comput. 3(5): 81-88 (2016) - [j10]Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma:
Robust partial-load experiments with Showstopper. Future Gener. Comput. Syst. 64: 15-38 (2016) - [j9]Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni:
Virtualization in the Private Cloud: State of the Practice. IEEE Trans. Netw. Serv. Manag. 13(3): 608-621 (2016) - [j8]Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke:
On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(1): 3:1-3:28 (2016) - [j7]Nikolaos Chrysos, Lydia Y. Chen, Christoforos Kachris, Manolis Katevenis:
Discharging the Network From Its Flow Control Headaches: Packet Drops and HOL Blocking. IEEE/ACM Trans. Netw. 24(1): 15-28 (2016) - 2015
- [j6]Derya Çavdar, Robert Birke, Lydia Y. Chen, Fatih Alagöz:
A simulation framework for priority scheduling on heterogeneous clusters. Future Gener. Comput. Syst. 52: 37-48 (2015) - [j5]Andrea Rosà, Lydia Y. Chen, Robert Birke, Walter Binder:
Demystifying Casualties of Evictions in Big Data Priority Scheduling. SIGMETRICS Perform. Evaluation Rev. 42(4): 12-21 (2015) - [j4]Yijun Ying, Robert Birke, Cheng Wang, Lydia Y. Chen, Natarajan Gautam:
On Energyaware Allocation and Execution for Batch and Interactive MapReduce. SIGMETRICS Perform. Evaluation Rev. 42(4): 22-30 (2015) - 2014
- [j3]Lydia Y. Chen, Giuseppe Serazzi, Danilo Ansaloni, Evgenia Smirni, Walter Binder:
What to expect when you are consolidating: effective prediction models of application performance on multicores. Clust. Comput. 17(1): 19-37 (2014) - [j2]Derya Çavdar, Andrea Rosà, Lydia Y. Chen, Walter Binder, Fatih Alagöz:
Quantifying the Brown Side of Priority Schedulers: Lessons from Big Clusters. SIGMETRICS Perform. Evaluation Rev. 42(3): 76-81 (2014) - 2004
- [j1]Yiyu Chen, Amitayu Das, Natarajan Gautam, Qian Wang, Anand Sivasubramaniam:
Pricing-based strategies for autonomic control of web servers for time-varying request arrivals. Eng. Appl. Artif. Intell. 17(7): 841-854 (2004)
Conference and Workshop Papers
- 2024
- [c131]Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen:
On Dark Knowledge for Distilling Generators. PAKDD (2) 2024: 235-247 - [c130]Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen:
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) 2024: 277-289 - 2023
- [c129]Zilong Zhao, Robert Birke, Lydia Y. Chen:
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD 2023: 570-576 - [c128]Zilong Zhao, Robert Birke, Lydia Y. Chen:
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM 2023: 4450-4454 - [c127]Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos:
Fabricated Flips: Poisoning Federated Learning without Data. DSN 2023: 274-287 - [c126]Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos:
Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. FC 2023: 200-217 - [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 - 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 - 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 - 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 - 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 - 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
- [c80]Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Y. Chen, Jaimie Kelley:
Early work on modeling computational sprinting. SoCC 2017: 661 - [c79]Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen:
Meeting Latency Target in Transient Burst: A Case on Spark Streaming. IC2E 2017: 149-158 - [c78]Haiyang Sun, Robert Birke, Walter Binder, Mathias Björkqvist, Lydia Y. Chen:
AccStream: Accuracy-Aware Overload Management for Stream Processing Systems. ICAC 2017: 39-48 - [c77]Juan F. Pérez, Robert Birke, Mathias Björkqvist, Lydia Y. Chen:
Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment. ICDCS 2017: 988-998 - [c76]Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen:
Power of redundancy: Designing partial replication for multi-tier applications. INFOCOM 2017: 1-9 - [c75]Juan F. Pérez, Robert Birke, Lydia Y. Chen:
On the latency-accuracy tradeoff in approximate MapReduce jobs. INFOCOM 2017: 1-9 - [c74]Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan:
Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. RTSS 2017: 351-353 - [c73]Sophie Cerf, Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Robert Birke, Sara Bouchenak, Lydia Y. Chen, Nicolas Marchand, Bogdan Robu:
PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data. SRDS 2017: 164-173 - 2016
- [c72]Andrea Rosà, Lydia Y. Chen, Walter Binder:
AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications. APLAS 2016: 139-147 - [c71]J. Ignacio Torrens, Deepak Mehta, Vojtech Zavrel, Diarmuid Grimes, Thomas Scherer, Robert Birke, Lydia Y. Chen, Susan Rea, Lara Lopez, Enric Pages, Dirk Pesch:
Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience. CLOSER (2) 2016: 375-386 - [c70]Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen:
Profiling Memory Vulnerability of Big-Data Applications. DSN Workshops 2016: 258-261 - [c69]Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Managing Data Center Tickets: Prediction and Active Sizing. DSN 2016: 335-346 - [c68]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Efficient profiling of actor-based applications in parallel and distributed systems. ICOOOLPS@ECOOP 2016: 9:1-9:3 - [c67]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Profiling actor utilization and communication in Akka. Erlang Workshop 2016: 24-32 - [c66]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Actor profiling in virtual execution environments. GPCE 2016: 36-46 - [c65]Robert Birke, Evangelia Kalyvianaki, Walter Binder, Martin L. Schmatz, Lydia Y. Chen:
Dynamic Block Sizing for Data Stream Processing Systems. IC2E Workshops 2016: 216-222 - [c64]Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta, Lydia Y. Chen, Robert Birke, George Kesidis:
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ICAC 2016: 95-104 - [c63]Nathaniel Morris, Siva Meenakshi Renganathan, Christopher Stewart, Robert Birke, Lydia Y. Chen:
Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity? ICAC 2016: 173-178 - [c62]Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen:
Dslash: Managing Data in Overloaded Batch Streaming Systems. ICDCS 2016: 745-746 - [c61]Andrea Rosà, Lydia Y. Chen, Walter Binder:
An Endpoint Communication Profiling Tool for Distributed Computing Frameworks. ICDCS 2016: 765-766 - [c60]Robert Birke, Zhan Qiu, Juan F. Pérez, Lydia Y. Chen:
Defeating variability in cloud applications by multi-tier workload redundancy. INFOCOM Workshops 2016: 496-497 - [c59]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, Jinsong Wu:
5G in rural and low-income areas: Are we ready? Kaleidoscope 2016: 1-8 - [c58]Diarmuid Grimes, Deepak Mehta, Barry O'Sullivan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Ignacio Castiñeiras:
Robust Server Consolidation: Coping with Peak Demand Underestimation. MASCOTS 2016: 271-276 - [c57]Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Tale of Tails: Anomaly Avoidance in Data Centers. SRDS 2016: 91-100 - [c56]Yudi Zheng, Andrea Rosà, Luca Salucci, Yao Li, Haiyang Sun, Omar Javed, Lubomír Bulej, Lydia Y. Chen, Zhengwei Qi, Walter Binder:
AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses. SANER 2016: 639-643 - [c55]Ji Xue, Evgenia Smirni, Thomas Scherer, Robert Birke, Lydia Y. Chen:
PROST: Predicting Resource Usages with Spatial and Temporal Dependencies. ICPE 2016: 125-126 - 2015
- [c54]Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma:
Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency. CCGRID 2015: 1-10 - [c53]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Predicting and Mitigating Jobs Failures in Big Data Clusters. CCGRID 2015: 221-230 - [c52]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Understanding Unsuccessful Executions in Big-Data Systems. CCGRID 2015: 741-744 - [c51]Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni:
PRACTISE: Robust prediction of data center time series. CNSM 2015: 126-134 - [c50]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures. DSN 2015: 207-218 - [c49]Cheng Wang, Neda Nasiriani, George Kesidis, Bhuvan Urgaonkar, Qian Wang, Lydia Y. Chen, Aayush Gupta, Robert Birke:
Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design. e-Energy 2015: 141-150 - [c48]Yijun Ying, Robert Birke, Cheng Wang, Lydia Y. Chen, Natarajan Gautam:
Optimizing Energy, Locality and Priority in a MapReduce Cluster. ICAC 2015: 21-30 - [c47]Sebastiano Spicuglia, Lydia Y. Chen, Robert Birke, Walter Binder:
Optimizing capacity allocation for big data applications in cloud datacenters. IM 2015: 511-517 - [c46]Sebastiano Spicuglia, Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Catching the response time tail in the cloud. IM 2015: 572-577 - [c45]Andrea Rosà, Lydia Y. Chen, Walter Binder:
Catching failures of failures at big-data clusters: A two-level neural network approach. IWQoS 2015: 231-236 - [c44]Joel Vallone, Robert Birke, Lydia Y. Chen, Babak Falsafi:
Contention detection by throttling: A black-box on-line approach. IWQoS 2015: 237-242 - [c43]Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke:
On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants. MASCOTS 2015: 51-60 - [c42]Robert Birke, Mathias Björkqvist, Cyriel Minkenberg, Martin L. Schmatz, Lydia Y. Chen:
When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic. SIGMETRICS 2015: 403-415 - [c41]Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni:
PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. UCC 2015: 402-403 - [c40]Dirk Pesch, Alan McGibney, Piotr Sobonski, Susan Rea, Thomas Scherer, Lydia Yiyu Chen, Ton Engbersen, Deepak Mehta, Barry O'Sullivan, Enric Pages, Jacinta Townley, Dhanaraja Kasinathan, J. Ignacio Torrens, Vojtech Zavrel, J. L. M. Hensen:
The GENiC Architecture for Integrated Data Centre Energy Management. UCC 2015: 540-546 - 2014
- [c39]Robert Birke, Ioana Giurgiu, Lydia Y. Chen, Dorothea Wiesmann, Ton Engbersen:
Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. DSN 2014: 1-12 - [c38]Robert Birke, Mathias Björkqvist, Lydia Y. Chen, Evgenia Smirni, Ton Engbersen:
(Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters. FAST 2014: 177-189 - [c37]Derya Cavdar, Lydia Y. Chen, Fatih Alagöz:
Green MapReduce for heterogeneous data centers. GLOBECOM 2014: 1120-1126 - [c36]Andrea Rosà, Walter Binder, Lydia Y. Chen, Marco Gribaudo, Giuseppe Serazzi:
ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications. MASCOTS 2014: 494-497 - [c35]Andrej Podzimek, Lydia Y. Chen, Lubomír Bulej, Walter Binder, Petr Tuma:
Showstopper: The Partial CPU Load Tool. MASCOTS 2014: 510-513 - [c34]Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Multi-resource characterization and their (in)dependencies in production datacenters. NOMS 2014: 1-6 - 2013
- [c33]Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder:
Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems. IEEE CLOUD 2013: 139-146 - [c32]Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni:
State-of-the-practice in data center virtualization: Toward a better understanding of VM usage. DSN 2013: 1-12 - [c31]Mathias Björkqvist, Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder:
QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis. ICSOC 2013: 69-83 - [c30]Robert Birke, Lydia Y. Chen, Cyriel Minkenberg:
A datacenter network tale from a server's perspective. IWQoS 2013: 99-108 - [c29]Andrej Podzimek, Lydia Y. Chen:
Transforming System Load to Throughput for Consolidated Applications. MASCOTS 2013: 288-292 - [c28]Robert Birke, Lydia Y. Chen, Marco Gribaudo, Pietro Piazzolla:
Characterization Analysis of Resource Utilization Distribution. MASCOTS 2013: 370-374 - [c27]Sebastiano Spicuglia, Mathias Björkqvist, Lydia Y. Chen, Giuseppe Serazzi, Walter Binder, Evgenia Smirni:
On load balancing: a mix-aware algorithm for heterogeneous systems. ICPE 2013: 71-76 - [c26]Achille Peternier, Walter Binder, Akira Yokokawa, Lydia Y. Chen:
Parallelism profiling and wall-time prediction for multi-threaded applications. ICPE 2013: 211-216 - 2012
- [c25]Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Opportunistic Service Provisioning in the Cloud. IEEE CLOUD 2012: 237-244 - [c24]Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Data Centers in the Cloud: A Large Scale Performance Study. IEEE CLOUD 2012: 336-343 - [c23]Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Dynamic Replication in Service-Oriented Systems. CCGRID 2012: 531-538 - [c22]Danilo Ansaloni, Walter Binder, Abbas Heydarnoori, Lydia Y. Chen:
Deferred methods: accelerating dynamic program analysis on multicores. CGO 2012: 242-251 - [c21]Danilo Ansaloni, Lydia Y. Chen, Evgenia Smirni, Walter Binder:
Model-driven consolidation of Java workloads on multicores. DSN 2012: 1-12 - [c20]Lydia Y. Chen, Danilo Ansaloni, Evgenia Smirni, Akira Yokokawa, Walter Binder:
Achieving application-centric performance targets via consolidation on multicores: myth or reality? HPDC 2012: 37-48 - [c19]Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Usage patterns in multi-tenant data centers: a temporal perspective. ICAC 2012: 161-166 - [c18]Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Cost-driven service provisioning in hybrid clouds. SOCA 2012: 1-8 - [c17]Danilo Ansaloni, Lydia Y. Chen, Evgenia Smirni, Akira Yokokawa, Walter Binder:
Find your best match: predicting performance of consolidated workloads. ICPE 2012: 243-244 - 2011
- [c16]Mathias Björkqvist, Lydia Y. Chen, Xi Zhang:
Minimizing Retrieval Cost of Multi-Layer Content Distribution Systems. ICC 2011: 1-6 - [c15]Mathias Björkqvist, Lydia Y. Chen, Marko Vukolic, Xi Zhang:
Minimizing retrieval latency for content cloud. INFOCOM 2011: 1080-1088 - [c14]Florin Ciucu, Oliver Hohlfeld, Lydia Y. Chen:
On the convergence to fairness in overloaded FIFO systems. INFOCOM 2011: 1988-1996 - [c13]Sriram Govindan, Di Wang, Lydia Y. Chen, Anand Sivasubramaniam, Bhuvan Urgaonkar:
Towards realizing a low cost and highly available datacenter power infrastructure. HotPower@SOSP 2011: 7:1-7:5 - [c12]Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Optimizing service replication in clouds. WSC 2011: 3312-3322 - 2010
- [c11]Nikolaos Chrysos, Lydia Y. Chen, Cyriel Minkenberg, Christoforos Kachris, Manolis Katevenis:
End-to-end congestion management for non-blocking multi-stage switching fabrics. ANCS 2010: 6 - [c10]Lydia Y. Chen, Nikos Chrysos:
Throughput of random arbitration for approximate matchings. ANCS 2010: 16 - [c9]Mathias Björkqvist, Lydia Y. Chen, Walter Binder:
Load-Balancing Dynamic Service Binding in Composition Execution Engines. APSCC 2010: 67-74 - [c8]Mathias Björkqvist, Lydia Y. Chen:
Content Retrieval Delay Driven by Caching Policy and Source Selection. MASCOTS 2010: 397-399 - 2009
- [c7]Lydia Yiyu Chen, Michela Meo, Alessandra Scicchitano:
Caching Video Contents in IPTV Systems with Hierarchical Architecture. ICC 2009: 1-6 - [c6]Lydia Yiyu Chen, Natarajan Gautam:
Server Frequency Control Using Markov Decision Processes. INFOCOM 2009: 2951-2955 - [c5]Lydia Y. Chen, Wolfgang E. Denzel, Ronald P. Luijten:
Optimization of link bandwidth for parallel communication performance. IPCCC 2009: 137-144 - 2006
- [c4]Wubi Qin, Qian Wang, Yiyu Chen, Natarajan Gautam:
A first-principles based LPV modeling and design for performance management of Internet Web servers. ACC 2006: 1-6 - [c3]Yiyu Chen, Amitayu Das, Anand Sivasubramaniam, Qian Wang, Rick Harper, M. Bland:
Consolidating clients on back-end servers with co-location and frequency control. SIGMETRICS/Performance 2006: 383-384 - 2005
- [c2]Yiyu Chen, Amitayu Das, Wubi Qin, Anand Sivasubramaniam, Qian Wang, Natarajan Gautam:
Managing server energy and operational costs in hosting centers. SIGMETRICS 2005: 303-314 - 2004
- [c1]Yiyu Chen, Amitayu Das, Natarajan Gautam, Qian Wang, Anand Sivasubramaniam:
Pricing and Autonomic Control of Web Servers with Time-Varying Request Patterns. ICAC 2004: 290-291
Parts in Books or Collections
- 2017
- [p2]Lydia Y. Chen, Robert Birke, Evgenia Smirni:
State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers. Self-Aware Computing Systems 2017: 555-574 - [p1]Robert Birke, Javier Cámara, Lydia Y. Chen, Lukas Esterle, Kurt Geihs, Erol Gelenbe, Holger Giese, Anders Robertsson, Xiaoyun Zhu:
Self-aware Computing Systems: Open Challenges and Future Research Directions. Self-Aware Computing Systems 2017: 709-722
Editorship
- 2017
- [e1]Lydia Y. Chen, Hans P. Reiser:
Distributed Applications and Interoperable Systems - 17th IFIP WG 6.1 International Conference, DAIS 2017, Held as Part of the 12th International Federated Conference on Distributed Computing Techniques, DisCoTec 2017, Neuchâtel, Switzerland, June 19-22, 2017, Proceedings. Lecture Notes in Computer Science 10320, Springer 2017, ISBN 978-3-319-59664-8 [contents]
Reference Works
- 2015
- [r1]Robert Birke, Lydia Y. Chen, Evgenia Smirni:
Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study. Handbook on Data Centers 2015: 1257-1266
Informal and Other Publications
- 2024
- [i38]Caspar Meijer, Lydia Y. Chen:
The Rise of Diffusion Models in Time-Series Forecasting. CoRR abs/2401.03006 (2024) - [i37]Chaoyi Zhu, Jiayi Tang, Hans Brouwer, Juan F. Pérez, Marten van Dijk, Lydia Y. Chen:
Quantifying and Mitigating Privacy Risks for Tabular Generative Models. CoRR abs/2403.07842 (2024) - [i36]Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen:
Duwak: Dual Watermarks in Large Language Models. CoRR abs/2403.13000 (2024) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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)
Coauthor Index
[j40] [j34] [j28] [j24] [j20] [j19] [j18] [j16] [j13] [j9] [j8] [j6] [j5] [j4] [c131] [c130] [c129] [c128] [c120] [c119] [c118] [c117] [c116] [c114] [c113] [c107] [c106] [c105] [c103] [c100] [c99] [c98] [c96] [c95] [c94] [c91] [c90] [c89] [c88] [c85] [c84] [c80] [c79] [c78] [c77] [c76] [c75] [c73] [c71] [c70] [c69] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [c57] [c55] [c51] [c49] [c48] [c47] [c44] [c43] [c42] [c41] [c39] [c38] [c34] [c32] [c30] [c28] [c24] [c19] [p2] [p1] [r1] [i34] [i33] [i28] [i23] [i21] [i20] [i19] [i17] [i16] [i15] [i11] [i10] [i9] [i8] [i5] [i2] [i1]
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aka: Juan Fernando Pérez
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