Lydia Y. Chen - RankMe

255 papers A* 15A 32B 40C 9Misc 2Journal 106Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion. CoRR Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Y. Chen
2026	J	`jnl`	TMPDiff: Temporal Mixed-Precision for Diffusion Models. CoRR Basile Lewandowski, Simon Kurz, Aditya Shankar, Robert Birke, Jian-Jia Chen, Lydia Y. Chen
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	—	`conf`	BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise. ECML/PKDD (6) Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen
2025	—	`conf`	CCBNet : Confidential Collaborative Bayesian Networks Inference. FC (2) Abele Malan, Thiago S. Guzella, Jérémie Decouchant, Lydia Y. Chen
2025	B	`conf`	Catalyst: Asynchronous Byzantine-Robust Federated Learning. IEEE Big Data Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant
2025	—	`conf`	DP-TLDM: Differentially Private Tabular Latent Diffusion Model. ARES (1) Chaoyi Zhu, Jiayi Tang, Juan F. Pérez, Marten van Dijk, 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	—	`conf`	Federated Time Series Generation on Feature and Temporally Misaligned Data. ECML/PKDD (2) Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen
2025	—	`conf`	GIDM: Gradient Inversion of Federated Diffusion Models. ARES (1) Jiyue Huang, Chi Hong, Stefanie Roos, Lydia Y. Chen
2025	A	`conf`	GTV: Generating Tabular Data via Vertical Federated Learning. DSN Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen
2025	J	`jnl`	Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models. CoRR Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen
2025	B	`conf`	Go With the Flow: Churn-Tolerant Decentralized Training of Large Language Models. IEEE Big Data Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen
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`	Match & Choose: Model Selection Framework for Fine-tuning Text-to-Image Diffusion Models. CoRR Basile Lewandowski, Robert Birke, Lydia Y. Chen
2025	B	`conf`	Nomad: Accelerating Geo-distributed Learning with Client Transfers. NCA Bart Cox, Lydia Y. Chen, Jérémie Decouchant
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
2025	A	`conf`	On the Gap Between Diffusion and Transformer Multi-Tabular Generation. CIKM Gijs Paardekooper, Jeroen M. Galjaard, Lydia Y. Chen
2025	J	`jnl`	Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models. CoRR Chaoyi Zhu, Zaitang Li, Renyi Yang, Robert Birke, Pin-Yu Chen, Tsung-Yi Ho, Lydia Y. Chen
2025	A	`ed.`	Proceedings of the 26th International Middleware Conference, MIDDLEWARE 2025, Vanderbilt University, Nashville, TN, USA, December 15-19, 2025 Middleware Mohammad Sadoghi, Lydia Y. Chen
2025	—	`conf`	Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning. ARES (1) Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen
2025	—	`conf`	Single-Fold Distillation for Diffusion Models. ECML/PKDD (2) Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
2025	—	`conf`	TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models. SaTML Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen
2025	J	`jnl`	TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models. CoRR Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen
2025	A*	`conf`	TabWak: A Watermark for Tabular Diffusion Models. ICLR Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen
2025	—	`conf`	TabuLa: Harnessing Language Models for Tabular Data Synthesis. PAKDD (5) Zilong Zhao, Robert Birke, Lydia Y. Chen
2025	J	`jnl`	TimeWak: Temporal Chained-Hashing Watermark for Time Series Data. CoRR Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang, Lydia Y. Chen
2025	J	`jnl`	WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models. CoRR Aditya Shankar, Lydia Y. Chen, Arie van Deursen, Rihan Hai
2024	J	`jnl`	Asynchronous Byzantine Federated Learning. CoRR Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant
2024	J	`jnl`	Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. CoRR Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant
2024	J	`jnl`	CCBNet: Confidential Collaborative Bayesian Networks Inference. CoRR Abele Malan, Jérémie Decouchant, Thiago S. Guzella, Lydia Y. Chen
2024	B	`conf`	CLUES: Collusive Theft of Conditional Generative Adversarial Networks. SRDS Simon Queyrut, Valerio Schiavoni, Lydia Y. Chen, Pascal Felber, Robert Birke
2024	J	`jnl`	CTAB-GAN+: enhancing tabular data synthesis. Frontiers Big Data Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen
2024	—	`conf`	DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
2024	J	`jnl`	DALLMi: Domain Adaption for LLM-based Multi-label Classifier. CoRR Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
2024	—	`conf`	Duwak: Dual Watermarks in Large Language Models. ACL (Findings) Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
2024	J	`jnl`	Duwak: Dual Watermarks in Large Language Models. CoRR Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
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`	Federated Time Series Generation on Feature and Temporally Misaligned Data. CoRR Chenrui Fan, Zhi Wen Soi, Aditya Shankar, Abele Malan, Lydia Y. Chen
2024	J	`jnl`	Gradient Inversion of Federated Diffusion Models. CoRR Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
2024	J	`jnl`	MPQ-Diff: Mixed Precision Quantization for Diffusion Models. CoRR Rocco Manz Maruzzelli, Basile Lewandowski, Lydia Y. Chen
2024	J	`jnl`	Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations. CoRR H. Çagri Bilgi, Lydia Y. Chen, Kubilay Atasu
2024	—	`conf`	On Dark Knowledge for Distilling Generators. PAKDD (2) Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
2024	B	`conf`	On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. SRDS Jiyue Huang, Lydia Y. Chen, Stefanie Roos
2024	J	`jnl`	Parameterizing Federated Continual Learning for Reproducible Research. CoRR Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen
2024	J	`jnl`	Quantifying and Mitigating Privacy Risks for Tabular Generative Models. CoRR Chaoyi Zhu, Jiayi Tang, Hans Brouwer, Juan F. Pérez, Marten van Dijk, 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
2024	A*	`conf`	S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. ICDE Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024	J	`jnl`	SFDDM: Single-fold Distillation for Diffusion models. CoRR Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
2024	J	`jnl`	Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. CoRR Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai
2024	J	`jnl`	SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. CoRR Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024	A	`conf`	Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. Middleware Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant
2024	B	`conf`	TabVFL: Improving Latent Representation in Vertical Federated Learning. SRDS Mohamed Rashad, Zilong Zhao, Jérémie Decouchant, Lydia Y. Chen
2024	J	`jnl`	TabVFL: Improving Latent Representation in Vertical Federated Learning. CoRR Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen
2024	J	`jnl`	The Rise of Diffusion Models in Time-Series Forecasting. CoRR Caspar Meijer, Lydia Y. Chen
2024	C	`conf`	Trustworthy Federated Learning Systems. CLOSER Lydia Y. Chen
2023	J	`jnl`	BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. CoRR Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen
2023	J	`jnl`	CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model. CoRR Jui-Yi Tsai, Ya-Wen Teng, Ho Chiok Yew, De-Nian Yang, Lydia Y. Chen
2023	A	`conf`	Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper). Middleware Yasmine Djebrouni, Isabelly Rocha, Sara Bouchenak, Lydia Y. Chen, Pascal Felber, Vania Marangozova, Valerio Schiavoni
2023	A	`conf`	Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. FC Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos
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`	Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
2023	A	`conf`	FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM Zilong Zhao, Robert Birke, Lydia Y. Chen
2023	A	`conf`	Fabricated Flips: Poisoning Federated Learning without Data. DSN Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
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	B	`conf`	GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD Zilong Zhao, Robert Birke, Lydia Y. Chen
2023	J	`jnl`	GTV: Generating Tabular Data via Vertical Federated Learning. CoRR Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen
2023	A*	`conf`	LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. ICML Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen
2023	—	`conf`	Maverick Matters: Client Contribution and Selection in Federated Learning. PAKDD (2) Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos
2023	—	`conf`	Parameterizing Federated Continual Learning for Reproducible Research. PKDD/ECML Workshops (5) Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen
2023	A	`conf`	Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2023	J	`jnl`	TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR Zilong Zhao, Robert Birke, Lydia Y. Chen
2022	B	`conf`	AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
2022	J	`jnl`	AGIC: Approximate Gradient Inversion Attack on Federated Learning. CoRR Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant
2022	J	`jnl`	Aergia: Leveraging Heterogeneity in Federated Learning Systems. CoRR Bart Cox, Lydia Y. Chen, Jérémie Decouchant
2022	A	`conf`	Aergia: leveraging heterogeneity in federated learning systems. Middleware Bart Cox, Lydia Y. Chen, Jérémie Decouchant
2022	J	`jnl`	Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. CoRR Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen
2022	J	`jnl`	Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. CoRR Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos
2022	J	`jnl`	CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
2022	A	`conf`	EdgeTune: Inference-Aware Multi-Parameter Tuning. Middleware Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Y. Chen
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`	FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR Zilong Zhao, Robert Birke, Lydia Y. Chen
2022	J	`jnl`	Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. CoRR Federico Lucchetti, Jérémie Decouchant, Maria Fernandes, Lydia Y. Chen, Marcus Völp
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`	Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. ISSRE Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
2022	J	`jnl`	Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. CoRR Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel
2022	—	`conf`	LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
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`	MEGA: Model Stealing via Collaborative Generator-Substitute Networks. CoRR Chi Hong, Jiyue Huang, Lydia Y. Chen
2022	J	`jnl`	Memory-aware and context-aware multi-DNN inference on the edge. Pervasive Mob. Comput. Bart Cox, Robert Birke, Lydia Y. Chen
2022	C	`conf`	Multi Label Loss Correction against Missing and Corrupted Labels. ACML Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2022	J	`jnl`	Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. IEEE Trans. Ind. Informatics Jin Wang, Hui Han, Hao Li, Shiming He, Pradip Kumar Sharma, Lydia Y. Chen
2022	B	`conf`	Performance Modeling for Short-Term Cache Allocation. ICPP Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke
2022	B	`conf`	Permutation-Invariant Tabular Data Synthesis. IEEE Big Data Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
2022	J	`jnl`	Permutation-Invariant Tabular Data Synthesis. CoRR Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
2022	A	`conf`	Targeted Influence with Community and Gender-Aware Seeding. CIKM Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang
2022	J	`jnl`	Targeted Influence with Community and Gender-Aware Seeding. CoRR Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang
2022	C	`conf`	Trusted Loss Correction for Noisy Multi-Label Learning. ACML Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
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	—	`conf`	Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021	J	`jnl`	Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. IEEE Trans. Dependable Secur. Comput. Sophie Cerf, Sara Bouchenak, Bogdan Robu, Nicolas Marchand, Vincent Primault, Sonia Ben Mokhtar, Antoine Boutet, Lydia Y. Chen
2021	C	`conf`	CTAB-GAN: Effective Table Data Synthesizing. ACML Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
2021	J	`jnl`	CTAB-GAN: Effective Table Data Synthesizing. CoRR Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen
2021	J	`jnl`	ComicGAN: Text-to-Comic Generative Adversarial Network. CoRR Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen
2021	J	`jnl`	DTGAN: Differential Private Training for Tabular GANs. CoRR Aditya Kunar, Robert Birke, Zilong Zhao, 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	J	`jnl`	Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen
2021	J	`jnl`	Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak
2021	J	`jnl`	Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. CoRR Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie Roos
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	J	`jnl`	Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. CoRR Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Y. Chen, Keqin Li
2021	A*	`conf`	Masa: Responsive Multi-DNN Inference on the Edge. PerCom Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021	—	`conf`	MemA: Fast Inference of Multiple Deep Models. PerCom Workshops Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
2021	J	`jnl`	Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
2021	A*	`conf`	Online Label Aggregation: A Variational Bayesian Approach. WWW Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
2021	A*	`conf`	Practical Analysis of Replication-Based Systems. INFOCOM Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan
2021	C	`conf`	QActor: Active Learning on Noisy Labels. ACML Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021	J	`jnl`	SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
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
2021	C	`conf`	TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2021	J	`jnl`	sPARE: Partial Replication for Multi-Tier Applications in the Cloud. IEEE Trans. Serv. Comput. Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
2020	J	`jnl`	A note on advances in scheduling algorithms for Cyber-Physical-Social workflows. Future Gener. Comput. Syst. Rajiv Ranjan, Lydia Y. Chen, Prem Prakash Jayaraman, Albert Y. Zomaya
2020	J	`jnl`	Active Learning for Noisy Data Streams Using Weak and Strong Labelers. CoRR Taraneh Younesian, Dick H. J. Epema, Lydia Y. Chen
2020	—	`conf`	An Exploratory Analysis on Users' Contributions in Federated Learning. TPS-ISA Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos
2020	J	`jnl`	An Exploratory Analysis on Users' Contributions in Federated Learning. CoRR Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos
2020	—	`conf`	End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020	J	`jnl`	End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020	J	`jnl`	ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
2020	J	`jnl`	Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak
2020	J	`jnl`	Holistic Technologies for Managing Internet of Things Services. IEEE Trans. Serv. Comput. Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos
2020	J	`jnl`	Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention. IEEE Trans. Serv. Comput. Joel Vallone, Robert Birke, Lydia Y. Chen
2020	J	`jnl`	On Influencing the Influential: Disparity Seeding. CoRR Arwen Teng, Ting-Wei Li, Yu-chi Liao, Hsi-Wen Chen, Yvonne-Anne Pignolet, De-Nian Yang, Lydia Y. Chen
2020	A	`conf`	PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. Middleware Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
2020	J	`jnl`	PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. CoRR Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
2020	J	`jnl`	QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
2020	J	`jnl`	SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. CoRR Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
2020	J	`jnl`	TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
2019	—	`conf`	Automating Deep Neural Network Model Selection for Edge Inference. CogMI Bingqian Lu, Jianyi Yang, Lydia Y. Chen, Shaolei Ren
2019	—	`conf`	Chisel: Reshaping Queries to Trim Latency in Key-Value Stores. ICAC Robert Birke, Juan F. Pérez, Sonia Ben Mokhtar, Navaneeth Rameshan, Lydia Y. Chen
2019	A	`conf`	Differential Approximation and Sprinting for Multi-Priority Big Data Engines. Middleware Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen
2019	J	`jnl`	Differential Approximation and Sprinting for Multi-Priority Big Data Engines. CoRR Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen
2019	—	`conf`	Opportunities and Challenges for Resource Management and Machine Learning Clusters. UCC Companion Lydia Y. 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`	Robust (Deep) Learning Framework Against Dirty Labels and Beyond. TPS-ISA Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen
2019	A	`conf`	Robust Anomaly Detection on Unreliable Data. DSN Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
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	J	`jnl`	A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications. Future Gener. Comput. Syst. Meisong Wang, Prem Prakash Jayaraman, Ellis Solaiman, Lydia Y. Chen, Zheng Li, Jun Song, Dimitrios Georgakopoulos, Rajiv Ranjan
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`	Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ACM Trans. Auton. Adapt. Syst. Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Aayush Gupta, Lydia Y. Chen, Robert Birke
2018	J	`jnl`	Holistic Workload Scaling: A New Approach to Compute Acceleration in the Cloud. IEEE Cloud Comput. Juan Fernando Pérez, Lydia Y. Chen, Massimo Villari, Rajiv Ranjan
2018	B	`conf`	Héron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads. SRDS Vikas Jaiman, Sonia Ben Mokhtar, Vivien Quéma, Lydia Y. Chen, Etienne Rivière
2018	A	`conf`	Model-driven computational sprinting. EuroSys Nathaniel Morris, Christopher Stewart, Lydia Y. Chen, Robert Birke, Jaimie Kelley
2018	J	`jnl`	Optimizing for Tail Sojourn Times of Cloud Clusters. IEEE Trans. Cloud Comput. Mathias Björkqvist, Natarajan Gautam, Robert Birke, Lydia Y. Chen, Walter Binder
2018	—	`conf`	SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems. ICAC Ewnetu Bayuh Lakew, Robert Birke, Juan F. Pérez, Erik Elmroth, Lydia Y. Chen
2018	J	`jnl`	Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers. IEEE Trans. Netw. Serv. Manag. Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
2018	—	`conf`	Towards Dynamic End-to-End Privacy Preserving Data Classification. DSN Workshops Rania Talbi, Sara Bouchenak, Lydia Y. Chen
2017	—	`conf`	AccStream: Accuracy-Aware Overload Management for Stream Processing Systems. ICAC Haiyang Sun, Robert Birke, Walter Binder, Mathias Björkqvist, Lydia Y. Chen
2017	J	`jnl`	Bringing 5G into Rural and Low-Income Areas: Is It Feasible? IEEE Commun. Stand. Mag. 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
2017	J	`jnl`	Cutting Latency Tail: Analyzing and Validating Replication without Canceling. IEEE Trans. Parallel Distributed Syst. Zhan Qiu, Juan F. Pérez, Robert Birke, Lydia Y. Chen, Peter G. Harrison
2017	C	`ed.`	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 DAIS Lydia Y. Chen, Hans P. Reiser
2017	A	`conf`	Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment. ICDCS Juan F. Pérez, Robert Birke, Mathias Björkqvist, Lydia Y. Chen
2017	—	`conf`	Early work on modeling computational sprinting. SoCC Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Y. Chen, Jaimie Kelley
2017	J	`jnl`	Failure Analysis and Prediction for Big-Data Systems. IEEE Trans. Serv. Comput. Andrea Rosà, Lydia Y. Chen, Walter Binder
2017	B	`conf`	Meeting Latency Target in Transient Burst: A Case on Spark Streaming. IC2E Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen
2017	A*	`conf`	On the latency-accuracy tradeoff in approximate MapReduce jobs. INFOCOM Juan F. Pérez, Robert Birke, Lydia Y. Chen
2017	B	`conf`	PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data. SRDS Sophie Cerf, Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Robert Birke, Sara Bouchenak, Lydia Y. Chen, Nicolas Marchand, Bogdan Robu
2017	A*	`conf`	Power of redundancy: Designing partial replication for multi-tier applications. INFOCOM Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
2017	J	`jnl`	Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time. IEEE Syst. J. Derya Cavdar, Lydia Y. Chen, Fatih Alagöz
2017	J	`jnl`	Reprint of "Robust partial-load experiments with Showstopper". Future Gener. Comput. Syst. Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma
2017	—	`ch.`	Self-aware Computing Systems: Open Challenges and Future Research Directions. Self-Aware Computing Systems Robert Birke, Javier Cámara, Lydia Y. Chen, Lukas Esterle, Kurt Geihs, Erol Gelenbe, Holger Giese, Anders Robertsson, Xiaoyun Zhu
2017	J	`jnl`	Software Defined Membrane: Policy-Driven Edge and Internet of Things Security. IEEE Cloud Comput. Massimo Villari, Maria Fazio, Schahram Dustdar, Omer F. Rana, Lydia Y. Chen, Rajiv Ranjan
2017	—	`ch.`	State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers. Self-Aware Computing Systems Lydia Y. Chen, Robert Birke, Evgenia Smirni
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	—	`conf`	5G in rural and low-income areas: Are we ready? Kaleidoscope 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
2016	B	`conf`	Actor profiling in virtual execution environments. GPCE Andrea Rosà, Lydia Y. Chen, Walter Binder
2016	B	`conf`	AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications. APLAS Andrea Rosà, Lydia Y. Chen, Walter Binder
2016	A	`conf`	An Endpoint Communication Profiling Tool for Distributed Computing Frameworks. ICDCS Andrea Rosà, Lydia Y. Chen, Walter Binder
2016	A	`conf`	AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses. SANER Yudi Zheng, Andrea Rosà, Luca Salucci, Yao Li, Haiyang Sun, Omar Javed, Lubomír Bulej, Lydia Y. Chen, Zhengwei Qi, Walter Binder
2016	—	`conf`	Defeating variability in cloud applications by multi-tier workload redundancy. INFOCOM Workshops Robert Birke, Zhan Qiu, Juan F. Pérez, Lydia Y. Chen
2016	J	`jnl`	Discharging the Network From Its Flow Control Headaches: Packet Drops and HOL Blocking. IEEE/ACM Trans. Netw. Nikolaos Chrysos, Lydia Y. Chen, Christoforos Kachris, Manolis Katevenis
2016	A	`conf`	Dslash: Managing Data in Overloaded Batch Streaming Systems. ICDCS Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen
2016	—	`conf`	Dynamic Block Sizing for Data Stream Processing Systems. IC2E Workshops Robert Birke, Evangelia Kalyvianaki, Walter Binder, Martin L. Schmatz, Lydia Y. Chen
2016	—	`conf`	Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ICAC Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta, Lydia Y. Chen, Robert Birke, George Kesidis
2016	—	`conf`	Efficient profiling of actor-based applications in parallel and distributed systems. ICOOOLPS@ECOOP Andrea Rosà, Lydia Y. Chen, Walter Binder
2016	—	`conf`	Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience. CLOSER (2) J. Ignacio Torrens, Deepak Mehta, Vojtech Zavrel, Diarmuid Grimes, Thomas Scherer, Robert Birke, Lydia Y. Chen, Susan Rea, Lara Lopez, Enric Pages, Dirk Pesch
2016	A	`conf`	Managing Data Center Tickets: Prediction and Active Sizing. DSN Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
2016	J	`jnl`	On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants. ACM Trans. Model. Perform. Evaluation Comput. Syst. Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke
2016	J	`jnl`	Open Issues in Scheduling Microservices in the Cloud. IEEE Cloud Comput. Maria Fazio, Antonio Celesti, Rajiv Ranjan, Chang Liu, Lydia Y. Chen, Massimo Villari
2016	B	`conf`	PROST: Predicting Resource Usages with Spatial and Temporal Dependencies. ICPE Ji Xue, Evgenia Smirni, Thomas Scherer, Robert Birke, Lydia Y. Chen
2016	—	`conf`	Profiling Memory Vulnerability of Big-Data Applications. DSN Workshops Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen
2016	—	`conf`	Profiling actor utilization and communication in Akka. Erlang Workshop Andrea Rosà, Lydia Y. Chen, Walter Binder
2016	B	`conf`	Robust Server Consolidation: Coping with Peak Demand Underestimation. MASCOTS Diarmuid Grimes, Deepak Mehta, Barry O'Sullivan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Ignacio Castiñeiras
2016	J	`jnl`	Robust partial-load experiments with Showstopper. Future Gener. Comput. Syst. Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma
2016	—	`conf`	Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity? ICAC Nathaniel Morris, Siva Meenakshi Renganathan, Christopher Stewart, Robert Birke, Lydia Y. Chen
2016	B	`conf`	Tale of Tails: Anomaly Avoidance in Data Centers. SRDS Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
2016	J	`jnl`	Virtualization in the Private Cloud: State of the Practice. IEEE Trans. Netw. Serv. Manag. Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni
2015	J	`jnl`	A simulation framework for priority scheduling on heterogeneous clusters. Future Gener. Comput. Syst. Derya Çavdar, Robert Birke, Lydia Y. Chen, Fatih Alagöz
2015	B	`conf`	Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency. CCGRID Andrej Podzimek, Lubomír Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma
2015	B	`conf`	Catching failures of failures at big-data clusters: A two-level neural network approach. IWQoS Andrea Rosà, Lydia Y. Chen, Walter Binder
2015	B	`conf`	Catching the response time tail in the cloud. IM Sebastiano Spicuglia, Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2015	B	`conf`	Contention detection by throttling: A black-box on-line approach. IWQoS Joel Vallone, Robert Birke, Lydia Y. Chen, Babak Falsafi
2015	J	`jnl`	Demystifying Casualties of Evictions in Big Data Priority Scheduling. SIGMETRICS Perform. Evaluation Rev. Andrea Rosà, Lydia Y. Chen, Robert Birke, Walter Binder
2015	J	`jnl`	On Energyaware Allocation and Execution for Batch and Interactive MapReduce. SIGMETRICS Perform. Evaluation Rev. Yijun Ying, Robert Birke, Cheng Wang, Lydia Y. Chen, Natarajan Gautam
2015	B	`conf`	On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants. MASCOTS Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke
2015	—	`conf`	Optimizing Energy, Locality and Priority in a MapReduce Cluster. ICAC Yijun Ying, Robert Birke, Cheng Wang, Lydia Y. Chen, Natarajan Gautam
2015	B	`conf`	Optimizing capacity allocation for big data applications in cloud datacenters. IM Sebastiano Spicuglia, Lydia Y. Chen, Robert Birke, Walter Binder
2015	Misc	`conf`	PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. UCC Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni
2015	B	`conf`	PRACTISE: Robust prediction of data center time series. CNSM Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni
2015	B	`conf`	Predicting and Mitigating Jobs Failures in Big Data Clusters. CCGRID Andrea Rosà, Lydia Y. Chen, Walter Binder
2015	—	`conf`	Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design. e-Energy Cheng Wang, Neda Nasiriani, George Kesidis, Bhuvan Urgaonkar, Qian Wang, Lydia Y. Chen, Aayush Gupta, Robert Birke
2015	B	`conf`	Understanding Unsuccessful Executions in Big-Data Systems. CCGRID Andrea Rosà, Lydia Y. Chen, Walter Binder
2015	A	`conf`	Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures. DSN Andrea Rosà, Lydia Y. Chen, Walter Binder
2015	—	`ch.`	Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study. Handbook on Data Centers Robert Birke, Lydia Y. Chen, Evgenia Smirni
2015	A*	`conf`	When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic. SIGMETRICS Robert Birke, Mathias Björkqvist, Cyriel Minkenberg, Martin L. Schmatz, Lydia Y. Chen
2014	A	`conf`	(Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters. FAST Robert Birke, Mathias Björkqvist, Lydia Y. Chen, Evgenia Smirni, Ton Engbersen
2014	A	`conf`	Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. DSN Robert Birke, Ioana Giurgiu, Lydia Y. Chen, Dorothea Wiesmann, Ton Engbersen
2014	B	`conf`	Green MapReduce for heterogeneous data centers. GLOBECOM Derya Cavdar, Lydia Y. Chen, Fatih Alagöz
2014	B	`conf`	Multi-resource characterization and their (in)dependencies in production datacenters. NOMS Robert Birke, Lydia Y. Chen, Evgenia Smirni
2014	B	`conf`	ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications. MASCOTS Andrea Rosà, Walter Binder, Lydia Y. Chen, Marco Gribaudo, Giuseppe Serazzi
2014	J	`jnl`	Quantifying the Brown Side of Priority Schedulers: Lessons from Big Clusters. SIGMETRICS Perform. Evaluation Rev. Derya Çavdar, Andrea Rosà, Lydia Y. Chen, Walter Binder, Fatih Alagöz
2014	B	`conf`	Showstopper: The Partial CPU Load Tool. MASCOTS Andrej Podzimek, Lydia Y. Chen, Lubomír Bulej, Walter Binder, Petr Tuma
2014	J	`jnl`	What to expect when you are consolidating: effective prediction models of application performance on multicores. Clust. Comput. Lydia Y. Chen, Giuseppe Serazzi, Danilo Ansaloni, Evgenia Smirni, Walter Binder
2013	B	`conf`	A datacenter network tale from a server's perspective. IWQoS Robert Birke, Lydia Y. Chen, Cyriel Minkenberg
2013	B	`conf`	Characterization Analysis of Resource Utilization Distribution. MASCOTS Robert Birke, Lydia Y. Chen, Marco Gribaudo, Pietro Piazzolla
2013	—	`conf`	Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems. IEEE CLOUD Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder
2013	B	`conf`	On load balancing: a mix-aware algorithm for heterogeneous systems. ICPE Sebastiano Spicuglia, Mathias Björkqvist, Lydia Y. Chen, Giuseppe Serazzi, Walter Binder, Evgenia Smirni
2013	B	`conf`	Parallelism profiling and wall-time prediction for multi-threaded applications. ICPE Achille Peternier, Walter Binder, Akira Yokokawa, Lydia Y. Chen
2013	A	`conf`	QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis. ICSOC Mathias Björkqvist, Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder
2013	A	`conf`	State-of-the-practice in data center virtualization: Toward a better understanding of VM usage. DSN Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni
2013	B	`conf`	Transforming System Load to Throughput for Consolidated Applications. MASCOTS Andrej Podzimek, Lydia Y. Chen
2012	A	`conf`	Achieving application-centric performance targets via consolidation on multicores: myth or reality? HPDC Lydia Y. Chen, Danilo Ansaloni, Evgenia Smirni, Akira Yokokawa, Walter Binder
2012	—	`conf`	Cost-driven service provisioning in hybrid clouds. SOCA Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2012	—	`conf`	Data Centers in the Cloud: A Large Scale Performance Study. IEEE CLOUD Robert Birke, Lydia Y. Chen, Evgenia Smirni
2012	A	`conf`	Deferred methods: accelerating dynamic program analysis on multicores. CGO Danilo Ansaloni, Walter Binder, Abbas Heydarnoori, Lydia Y. Chen
2012	B	`conf`	Dynamic Replication in Service-Oriented Systems. CCGRID Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2012	B	`conf`	Find your best match: predicting performance of consolidated workloads. ICPE Danilo Ansaloni, Lydia Y. Chen, Evgenia Smirni, Akira Yokokawa, Walter Binder
2012	A	`conf`	Model-driven consolidation of Java workloads on multicores. DSN Danilo Ansaloni, Lydia Y. Chen, Evgenia Smirni, Walter Binder
2012	—	`conf`	Opportunistic Service Provisioning in the Cloud. IEEE CLOUD Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2012	—	`conf`	Usage patterns in multi-tenant data centers: a temporal perspective. ICAC Robert Birke, Lydia Y. Chen, Evgenia Smirni
2011	—	`conf`	Minimizing Retrieval Cost of Multi-Layer Content Distribution Systems. ICC Mathias Björkqvist, Lydia Y. Chen, Xi Zhang
2011	A*	`conf`	Minimizing retrieval latency for content cloud. INFOCOM Mathias Björkqvist, Lydia Y. Chen, Marko Vukolic, Xi Zhang
2011	A*	`conf`	On the convergence to fairness in overloaded FIFO systems. INFOCOM Florin Ciucu, Oliver Hohlfeld, Lydia Y. Chen
2011	Misc	`conf`	Optimizing service replication in clouds. WSC Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2011	—	`conf`	Towards realizing a low cost and highly available datacenter power infrastructure. HotPower@SOSP Sriram Govindan, Di Wang, Lydia Y. Chen, Anand Sivasubramaniam, Bhuvan Urgaonkar
2010	B	`conf`	Content Retrieval Delay Driven by Caching Policy and Source Selection. MASCOTS Mathias Björkqvist, Lydia Y. Chen
2010	—	`conf`	End-to-end congestion management for non-blocking multi-stage switching fabrics. ANCS Nikolaos Chrysos, Lydia Y. Chen, Cyriel Minkenberg, Christoforos Kachris, Manolis Katevenis
2010	C	`conf`	Load-Balancing Dynamic Service Binding in Composition Execution Engines. APSCC Mathias Björkqvist, Lydia Y. Chen, Walter Binder
2010	—	`conf`	Throughput of random arbitration for approximate matchings. ANCS Lydia Y. Chen, Nikos Chrysos
2009	C	`conf`	Optimization of link bandwidth for parallel communication performance. IPCCC Lydia Y. Chen, Wolfgang E. Denzel, Ronald P. Luijten