| 2026 | ACL | Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO. | Nikolay Blagoev, Oguzhan Ersoy, Lydia Y. Chen |
| 2026 | PAKDD | TabTokWak: Token(less)-Value Watermarking for Tabular Foundational Models. | Jeroen M. Galjaard, Chaoyi Zhu, Robert Birke, Pin-Yu Chen, Cornelis Bos, Lydia Y. Chen |
| 2025 | CIKM | On the Gap Between Diffusion and Transformer Multi-Tabular Generation. | Gijs Paardekooper, Jeroen M. Galjaard, Lydia Y. Chen |
| 2025 | DSN | GTV: Generating Tabular Data via Vertical Federated Learning. | Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen |
| 2025 | FC | CCBNet : Confidential Collaborative Bayesian Networks Inference. | Abele Malan, Thiago S. Guzella, Jrmie Decouchant, Lydia Y. Chen |
| 2025 | ICLR | TabWak: A Watermark for Tabular Diffusion Models. | Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen |
| 2025 | NCA | Nomad: Accelerating Geo-distributed Learning with Client Transfers. | Bart Cox, Lydia Y. Chen, Jrmie Decouchant |
| 2025 | PAKDD | TabuLa: Harnessing Language Models for Tabular Data Synthesis. | Zilong Zhao, Robert Birke, Lydia Y. Chen |
| 2024 | ACL | Duwak: Dual Watermarks in Large Language Models. | Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen |
| 2024 | CLOSER | Trustworthy Federated Learning Systems. | Lydia Y. Chen |
| 2024 | ICDE | S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. | Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen |
| 2024 | Middleware | Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. | Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jrmie Decouchant |
| 2024 | PAKDD | DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. | Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen |
| 2024 | PAKDD | On Dark Knowledge for Distilling Generators. | Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen |
| 2024 | SRDS | On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. | Jiyue Huang, Lydia Y. Chen, Stefanie Roos |
| 2024 | SRDS | CLUES: Collusive Theft of Conditional Generative Adversarial Networks. | Simon Queyrut, Valerio Schiavoni, Lydia Y. Chen, Pascal Felber, Robert Birke |
| 2024 | SRDS | TabVFL: Improving Latent Representation in Vertical Federated Learning. | Mohamed Rashad, Zilong Zhao, Jrmie Decouchant, Lydia Y. Chen |
| 2023 | CIKM | FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. | Zilong Zhao, Robert Birke, Lydia Y. Chen |
| 2023 | DSN | Fabricated Flips: Poisoning Federated Learning without Data. | Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos |
| 2023 | FC | Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. | Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos |
| 2023 | ICDE | FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. | Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen |
| 2023 | ICDE | EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. | Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen |
| 2023 | ICML | LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. | Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen |
| 2023 | Middleware | Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper). | Yasmine Djebrouni, Isabelly Rocha, Sara Bouchenak, Lydia Y. Chen, Pascal Felber, Vania Marangozova, Valerio Schiavoni |
| 2023 | PAKDD | Maverick Matters: Client Contribution and Selection in Federated Learning. | Jiyue Huang, Chi Hong, Yang Liu, Lydia Y. Chen, Stefanie Roos |
| 2023 | SDM | Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2022 | ACML | Multi Label Loss Correction against Missing and Corrupted Labels. | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2022 | ACML | Trusted Loss Correction for Noisy Multi-Label Learning. | Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen |
| 2022 | CIKM | Targeted Influence with Community and Gender-Aware Seeding. | Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang |
| 2022 | ICAART | LABNET: A Collaborative Method for DNN Training and Label Aggregation. | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2022 | ICPP | Performance Modeling for Short-Term Cache Allocation. | Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke |
| 2022 | INFOCOM | EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. | Rui Han, Shilin Wen, Chi Harold Liu, Ye Yuan, Guoren Wang, Lydia Y. Chen |
| 2022 | ISSRE | Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. | Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel |
| 2022 | Middleware | Aergia: leveraging heterogeneity in federated learning systems. | Bart Cox, Lydia Y. Chen, Jrmie Decouchant |
| 2022 | Middleware | EdgeTune: Inference-Aware Multi-Parameter Tuning. | Isabelly Rocha, Pascal Felber, Valerio Schiavoni, Lydia Y. Chen |
| 2022 | SRDS | AGIC: Approximate Gradient Inversion Attack on Federated Learning. | Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jrmie Decouchant |
| 2021 | ACML | CTAB-GAN: Effective Table Data Synthesizing. | Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen |
| 2021 | ACML | QActor: Active Learning on Noisy Labels. | Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2021 | IJCNN | LABELNET: Recovering Noisy Labels. | Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen |
| 2021 | INFOCOM | Practical Analysis of Replication-Based Systems. | Florin Ciucu, Felix Poloczek, Lydia Y. Chen, Martin Chan |
| 2021 | MOBICOM | LegoDNN: block-grained scaling of deep neural networks for mobile vision. | Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen |
| 2021 | PERCOM | Artifact: Masa: Responsive Multi-DNN Inference on the Edge. | Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2021 | PERCOM | Masa: Responsive Multi-DNN Inference on the Edge. | Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2021 | PERCOM | MemA: Fast Inference of Multiple Deep Models. | Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke |
| 2021 | WWW | Online Label Aggregation: A Variational Bayesian Approach. | Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen |
| 2020 | Middleware | PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. | Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni |
| 2019 | DSN | Robust Anomaly Detection on Unreliable Data. | Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen |
| 2019 | Middleware | Differential Approximation and Sprinting for Multi-Priority Big Data Engines. | Robert Birke, Isabelly Rocha, Juan F. Prez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen |
| 2019 | UCC | Opportunities and Challenges for Resource Management and Machine Learning Clusters. | Lydia Y. Chen |
| 2018 | DSN | Towards Dynamic End-to-End Privacy Preserving Data Classification. | Rania Talbi, Sara Bouchenak, Lydia Y. Chen |
| 2018 | EuroSys | Model-driven computational sprinting. | Nathaniel Morris, Christopher Stewart, Lydia Y. Chen, Robert Birke, Jaimie Kelley |
| 2018 | ICDCS | AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs. | Rui Han, Zan Zong, Lydia Y. Chen, Siyi Wang, Jianfeng Zhan |
| 2018 | SRDS | Hron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads. | Vikas Jaiman, Sonia Ben Mokhtar, Vivien Quma, Lydia Y. Chen, Etienne Rivire |
| 2017 | CLOUD | Early work on modeling computational sprinting. | Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Y. Chen, Jaimie Kelley |
| 2017 | IC2E | Meeting Latency Target in Transient Burst: A Case on Spark Streaming. | Robert Birke, Mathias Bjrkqvist, Evangelia Kalyvianaki, Lydia Y. Chen |
| 2017 | ICDCS | Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment. | Juan F. Prez, Robert Birke, Mathias Bjrkqvist, Lydia Y. Chen |
| 2017 | INFOCOM | Power of redundancy: Designing partial replication for multi-tier applications. | Robert Birke, Juan F. Prez, Zhan Qiu, Mathias Bjrkqvist, Lydia Y. Chen |
| 2017 | INFOCOM | On the latency-accuracy tradeoff in approximate MapReduce jobs. | Juan F. Prez, Robert Birke, Lydia Y. Chen |
| 2017 | RTSS | Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. | Rui Han, Fan Zhang, Lydia Y. Chen, Jianfeng Zhan |
| 2017 | SRDS | PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data. | Sophie Cerf, Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Robert Birke, Sara Bouchenak, Lydia Y. Chen, Nicolas Marchand, Bogdan Robu |
| 2016 | APLAS | AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2016 | CLOSER | Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience. | 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 | DSN | Profiling Memory Vulnerability of Big-Data Applications. | Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen |
| 2016 | DSN | Managing Data Center Tickets: Prediction and Active Sizing. | Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni |
| 2016 | ECOOP | Efficient profiling of actor-based applications in parallel and distributed systems. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2016 | GPCE | Actor profiling in virtual execution environments. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2016 | IC2E | Dynamic Block Sizing for Data Stream Processing Systems. | Robert Birke, Evangelia Kalyvianaki, Walter Binder, Martin L. Schmatz, Lydia Y. Chen |
| 2016 | ICDCS | Dslash: Managing Data in Overloaded Batch Streaming Systems. | Robert Birke, Mathias Bjrkqvist, Evangelia Kalyvianaki, Lydia Y. Chen |
| 2016 | ICDCS | An Endpoint Communication Profiling Tool for Distributed Computing Frameworks. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2016 | INFOCOM | Defeating variability in cloud applications by multi-tier workload redundancy. | Robert Birke, Zhan Qiu, Juan F. Prez, Lydia Y. Chen |
| 2016 | MASCOTS | Robust Server Consolidation: Coping with Peak Demand Underestimation. | Diarmuid Grimes, Deepak Mehta, Barry O'Sullivan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Ignacio Castieiras |
| 2016 | SRDS | Tale of Tails: Anomaly Avoidance in Data Centers. | Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni |
| 2015 | CCGRID | Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency. | Andrej Podzimek, Lubomr Bulej, Lydia Y. Chen, Walter Binder, Petr Tuma |
| 2015 | CCGRID | Predicting and Mitigating Jobs Failures in Big Data Clusters. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2015 | CCGRID | Understanding Unsuccessful Executions in Big-Data Systems. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2015 | CNSM | PRACTISE: Robust prediction of data center time series. | Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni |
| 2015 | DSN | Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2015 | IM | Catching the response time tail in the cloud. | Sebastiano Spicuglia, Mathias Bjrkqvist, Lydia Y. Chen, Walter Binder |
| 2015 | IM | Optimizing capacity allocation for big data applications in cloud datacenters. | Sebastiano Spicuglia, Lydia Y. Chen, Robert Birke, Walter Binder |
| 2015 | IWQoS | Catching failures of failures at big-data clusters: A two-level neural network approach. | Andrea Ros, Lydia Y. Chen, Walter Binder |
| 2015 | IWQoS | Contention detection by throttling: A black-box on-line approach. | Joel Vallone, Robert Birke, Lydia Y. Chen, Babak Falsafi |
| 2015 | MASCOTS | On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants. | Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke |
| 2015 | SIGMETRICS | When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic. | Robert Birke, Mathias Bjrkqvist, Cyriel Minkenberg, Martin L. Schmatz, Lydia Y. Chen |
| 2015 | UCC | PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. | Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni |
| 2014 | DSN | Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. | Robert Birke, Ioana Giurgiu, Lydia Y. Chen, Dorothea Wiesmann, Ton Engbersen |
| 2014 | FAST | (Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters. | Robert Birke, Mathias Bjrkqvist, Lydia Y. Chen, Evgenia Smirni, Ton Engbersen |
| 2014 | GLOBECOM | Green MapReduce for heterogeneous data centers. | Derya Cavdar, Lydia Y. Chen, Fatih Alagz |
| 2014 | MASCOTS | Showstopper: The Partial CPU Load Tool. | Andrej Podzimek, Lydia Y. Chen, Lubomr Bulej, Walter Binder, Petr Tuma |
| 2014 | MASCOTS | ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications. | Andrea Ros, Walter Binder, Lydia Y. Chen, Marco Gribaudo, Giuseppe Serazzi |
| 2014 | NOMS | Multi-resource characterization and their (in)dependencies in production datacenters. | Robert Birke, Lydia Y. Chen, Evgenia Smirni |
| 2013 | DSN | State-of-the-practice in data center virtualization: Toward a better understanding of VM usage. | Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni |
| 2013 | ICSOC | QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis. | Mathias Bjrkqvist, Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder |
| 2013 | IWQoS | A datacenter network tale from a server's perspective. | Robert Birke, Lydia Y. Chen, Cyriel Minkenberg |
| 2013 | MASCOTS | Characterization Analysis of Resource Utilization Distribution. | Robert Birke, Lydia Y. Chen, Marco Gribaudo, Pietro Piazzolla |
| 2013 | MASCOTS | Transforming System Load to Throughput for Consolidated Applications. | Andrej Podzimek, Lydia Y. Chen |
| 2012 | CCGRID | Dynamic Replication in Service-Oriented Systems. | Mathias Bjrkqvist, Lydia Y. Chen, Walter Binder |
| 2012 | CGO | Deferred methods: accelerating dynamic program analysis on multicores. | Danilo Ansaloni, Walter Binder, Abbas Heydarnoori, Lydia Y. Chen |
| 2012 | DSN | Model-driven consolidation of Java workloads on multicores. | Danilo Ansaloni, Lydia Y. Chen, Evgenia Smirni, Walter Binder |
| 2012 | HPDC | Achieving application-centric performance targets via consolidation on multicores: myth or reality? | Lydia Y. Chen, Danilo Ansaloni, Evgenia Smirni, Akira Yokokawa, Walter Binder |
| 2011 | INFOCOM | Minimizing retrieval latency for content cloud. | Mathias Bjrkqvist, Lydia Y. Chen, Marko Vukolic, Xi Zhang |
| 2011 | INFOCOM | On the convergence to fairness in overloaded FIFO systems. | Florin Ciucu, Oliver Hohlfeld, Lydia Y. Chen |
| 2011 | WSC | Optimizing service replication in clouds. | Mathias Bjrkqvist, Lydia Y. Chen, Walter Binder |
| 2011 | SOSP | Towards realizing a low cost and highly available datacenter power infrastructure. | Sriram Govindan, Di Wang, Lydia Y. Chen, Anand Sivasubramaniam, Bhuvan Urgaonkar |
| 2010 | APSCC | Load-Balancing Dynamic Service Binding in Composition Execution Engines. | Mathias Bjrkqvist, Lydia Y. Chen, Walter Binder |
| 2010 | MASCOTS | Content Retrieval Delay Driven by Caching Policy and Source Selection. | Mathias Bjrkqvist, Lydia Y. Chen |
| 2009 | IPCCC | Optimization of link bandwidth for parallel communication performance. | Lydia Y. Chen, Wolfgang E. Denzel, Ronald P. Luijten |