Pricing and Autonomic Control of Web Servers with Time-Varying Request Patterns. - Yiyu Chen 001; Amitayu Das; Natarajan Gautam; Qian Wang 029; Anand Sivasubramaniam (ICAC, 2004)

Pricing-based strategies for autonomic control of web servers for time-varying request arrivals. - Yiyu Chen 001; Amitayu Das; Natarajan Gautam; Qian Wang 029; Anand Sivasubramaniam (Eng. Appl. Artif. Intell., 2004)

Managing server energy and operational costs in hosting centers. - Yiyu Chen 001; Amitayu Das; Wubi Qin; Anand Sivasubramaniam; Qian Wang 029; Natarajan Gautam (SIGMETRICS, 2005)

A first-principles based LPV modeling and design for performance management of Internet Web servers. - Wubi Qin; Qian Wang 029; Yiyu Chen 001; Natarajan Gautam (ACC, 2006)

Consolidating clients on back-end servers with co-location and frequency control. - Yiyu Chen 001; Amitayu Das; Anand Sivasubramaniam; Qian Wang 029; Rick Harper 001; M. Bland (SIGMETRICS/Performance, 2006)

Caching Video Contents in IPTV Systems with Hierarchical Architecture. - Lydia Yiyu Chen; Michela Meo; Alessandra Scicchitano (ICC, 2009)

Server Frequency Control Using Markov Decision Processes. - Lydia Yiyu Chen; Natarajan Gautam (INFOCOM, 2009)

Optimization of link bandwidth for parallel communication performance. - Lydia Y. Chen; Wolfgang E. Denzel; Ronald P. Luijten (IPCCC, 2009)

Throughput of random arbitration for approximate matchings. - Lydia Y. Chen; Nikos Chrysos (ANCS, 2010)

End-to-end congestion management for non-blocking multi-stage switching fabrics. - Nikolaos Chrysos; Lydia Y. Chen; Cyriel Minkenberg; Christoforos Kachris; Manolis Katevenis (ANCS, 2010)

Load-Balancing Dynamic Service Binding in Composition Execution Engines. - Mathias Björkqvist; Lydia Y. Chen; Walter Binder (APSCC, 2010)

Content Retrieval Delay Driven by Caching Policy and Source Selection. - Mathias Björkqvist; Lydia Y. Chen (MASCOTS, 2010)

Minimizing Retrieval Cost of Multi-Layer Content Distribution Systems. - Mathias Björkqvist; Lydia Y. Chen; Xi Zhang (ICC, 2011)

Minimizing retrieval latency for content cloud. - Mathias Björkqvist; Lydia Y. Chen; Marko Vukolic; Xi Zhang (INFOCOM, 2011)

On the convergence to fairness in overloaded FIFO systems. - Florin Ciucu; Oliver Hohlfeld; Lydia Y. Chen (INFOCOM, 2011)

Towards realizing a low cost and highly available datacenter power infrastructure. - Sriram Govindan; Di Wang 003; Lydia Y. Chen; Anand Sivasubramaniam; Bhuvan Urgaonkar (HotPower@SOSP, 2011)

Optimizing service replication in clouds. - Mathias Björkqvist; Lydia Y. Chen; Walter Binder (WSC, 2011)

Data Centers in the Cloud: A Large Scale Performance Study. - Robert Birke; Lydia Y. Chen; Evgenia Smirni (IEEE CLOUD, 2012)

Opportunistic Service Provisioning in the Cloud. - Mathias Björkqvist; Lydia Y. Chen; Walter Binder (IEEE CLOUD, 2012)

Dynamic Replication in Service-Oriented Systems. - Mathias Björkqvist; Lydia Y. Chen; Walter Binder (CCGRID, 2012)

Deferred methods: accelerating dynamic program analysis on multicores. - Danilo Ansaloni; Walter Binder; Abbas Heydarnoori; Lydia Y. Chen (CGO, 2012)

Model-driven consolidation of Java workloads on multicores. - Danilo Ansaloni; Lydia Y. Chen; Evgenia Smirni; Walter Binder (DSN, 2012)

Achieving application-centric performance targets via consolidation on multicores: myth or reality? - Lydia Y. Chen; Danilo Ansaloni; Evgenia Smirni; Akira Yokokawa; Walter Binder (HPDC, 2012)

Usage patterns in multi-tenant data centers: a temporal perspective. - Robert Birke; Lydia Y. Chen; Evgenia Smirni (ICAC, 2012)

Cost-driven service provisioning in hybrid clouds. - Mathias Björkqvist; Lydia Y. Chen; Walter Binder (SOCA, 2012)

Find your best match: predicting performance of consolidated workloads. - Danilo Ansaloni; Lydia Y. Chen; Evgenia Smirni; Akira Yokokawa; Walter Binder (ICPE, 2012)

Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems. - Sebastiano Spicuglia; Lydia Y. Chen; Walter Binder (IEEE CLOUD, 2013)

State-of-the-practice in data center virtualization: Toward a better understanding of VM usage. - Robert Birke; Andrej Podzimek; Lydia Y. Chen; Evgenia Smirni (DSN, 2013)

QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis. - Mathias Björkqvist; Sebastiano Spicuglia; Lydia Y. Chen; Walter Binder (ICSOC, 2013)

A datacenter network tale from a server's perspective. - Robert Birke; Lydia Y. Chen; Cyriel Minkenberg (IWQoS, 2013)

Characterization Analysis of Resource Utilization Distribution. - Robert Birke; Lydia Y. Chen; Marco Gribaudo; Pietro Piazzolla (MASCOTS, 2013)

Transforming System Load to Throughput for Consolidated Applications. - Andrej Podzimek; Lydia Y. Chen (MASCOTS, 2013)

Parallelism profiling and wall-time prediction for multi-threaded applications. - Achille Peternier; Walter Binder; Akira Yokokawa; Lydia Y. Chen (ICPE, 2013)

On load balancing: a mix-aware algorithm for heterogeneous systems. - Sebastiano Spicuglia; Mathias Björkqvist; Lydia Y. Chen; Giuseppe Serazzi; Walter Binder; Evgenia Smirni (ICPE, 2013)

Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. - Robert Birke; Ioana Giurgiu; Lydia Y. Chen; Dorothea Wiesmann; Ton Engbersen (DSN, 2014)

(Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters. - Robert Birke; Mathias Björkqvist; Lydia Y. Chen; Evgenia Smirni; Ton Engbersen (FAST, 2014)

Green MapReduce for heterogeneous data centers. - Derya Cavdar; Lydia Y. Chen; Fatih Alagöz (GLOBECOM, 2014)

Showstopper: The Partial CPU Load Tool. - Andrej Podzimek; Lydia Y. Chen; Lubomír Bulej; Walter Binder; Petr Tuma 001 (MASCOTS, 2014)

ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications. - Andrea Rosà; Walter Binder; Lydia Y. Chen; Marco Gribaudo; Giuseppe Serazzi (MASCOTS, 2014)

Multi-resource characterization and their (in)dependencies in production datacenters. - Robert Birke; Lydia Y. Chen; Evgenia Smirni (NOMS, 2014)

What to expect when you are consolidating: effective prediction models of application performance on multicores. - Lydia Y. Chen; Giuseppe Serazzi; Danilo Ansaloni; Evgenia Smirni; Walter Binder (Clust. Comput., 2014)

Quantifying the Brown Side of Priority Schedulers: Lessons from Big Clusters. - Derya Çavdar; Andrea Rosà; Lydia Y. Chen; Walter Binder; Fatih Alagöz (SIGMETRICS Perform. Evaluation Rev., 2014)

Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency. - Andrej Podzimek; Lubomír Bulej; Lydia Y. Chen; Walter Binder; Petr Tuma 001 (CCGRID, 2015)

Predicting and Mitigating Jobs Failures in Big Data Clusters. - Andrea Rosà; Lydia Y. Chen; Walter Binder (CCGRID, 2015)

Understanding Unsuccessful Executions in Big-Data Systems. - Andrea Rosà; Lydia Y. Chen; Walter Binder (CCGRID, 2015)

PRACTISE: Robust prediction of data center time series. - Ji Xue; Feng Yan 001; Robert Birke; Lydia Y. Chen; Thomas Scherer; Evgenia Smirni (CNSM, 2015)

Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures. - Andrea Rosà; Lydia Y. Chen; Walter Binder (DSN, 2015)

Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design. - Cheng Wang 014; Neda Nasiriani; George Kesidis; Bhuvan Urgaonkar; Qian Wang 029; Lydia Y. Chen; Aayush Gupta; Robert Birke (e-Energy, 2015)

Optimizing Energy, Locality and Priority in a MapReduce Cluster. - Yijun Ying; Robert Birke; Cheng Wang 014; Lydia Y. Chen; Natarajan Gautam (ICAC, 2015)

Catching the response time tail in the cloud. - Sebastiano Spicuglia; Mathias Björkqvist; Lydia Y. Chen; Walter Binder (IM, 2015)

Optimizing capacity allocation for big data applications in cloud datacenters. - Sebastiano Spicuglia; Lydia Y. Chen; Robert Birke; Walter Binder (IM, 2015)

Catching failures of failures at big-data clusters: A two-level neural network approach. - Andrea Rosà; Lydia Y. Chen; Walter Binder (IWQoS, 2015)

Contention detection by throttling: A black-box on-line approach. - Joel Vallone; Robert Birke; Lydia Y. Chen; Babak Falsafi (IWQoS, 2015)

When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic. - Robert Birke; Mathias Björkqvist; Cyriel Minkenberg; Martin L. Schmatz; Lydia Y. Chen (SIGMETRICS, 2015)

The GENiC Architecture for Integrated Data Centre Energy Management. - Dirk Pesch; Alan McGibney; Piotr Sobonski; Susan Rea; Thomas Scherer; Lydia Yiyu Chen; Ton Engbersen; Deepak Mehta 001; Barry O'Sullivan; Enric Pages; Jacinta Townley; Dhanaraja Kasinathan; et al. (UCC, 2015)

PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. - Thomas Scherer; Ji Xue; Feng Yan 001; Robert Birke; Lydia Y. Chen; Evgenia Smirni (UCC, 2015)

A simulation framework for priority scheduling on heterogeneous clusters. - Derya Çavdar; Robert Birke; Lydia Y. Chen; Fatih Alagöz (Future Gener. Comput. Syst., 2015)

Demystifying Casualties of Evictions in Big Data Priority Scheduling. - Andrea Rosà; Lydia Y. Chen; Robert Birke; Walter Binder (SIGMETRICS Perform. Evaluation Rev., 2015)

On Energyaware Allocation and Execution for Batch and Interactive MapReduce. - Yijun Ying; Robert Birke; Cheng Wang 014; Lydia Y. Chen; Natarajan Gautam (SIGMETRICS Perform. Evaluation Rev., 2015)

Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study. - Robert Birke; Lydia Y. Chen; Evgenia Smirni (Handbook on Data Centers, 2015)

AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications. - Andrea Rosà; Lydia Y. Chen; Walter Binder (APLAS, 2016)

Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience. - J. Ignacio Torrens; Deepak Mehta 001; Vojtech Zavrel; Diarmuid Grimes; Thomas Scherer; Robert Birke; Lydia Y. Chen; Susan Rea; Lara Lopez; Enric Pages; Dirk Pesch (CLOSER (2), 2016)

Profiling Memory Vulnerability of Big-Data Applications. - Navaneeth Rameshan; Robert Birke; Leandro Navarro 001; Vladimir Vlassov; Bhuvan Urgaonkar; George Kesidis; Martin L. Schmatz; Lydia Y. Chen (DSN Workshops, 2016)

Managing Data Center Tickets: Prediction and Active Sizing. - Ji Xue; Robert Birke; Lydia Y. Chen; Evgenia Smirni (DSN, 2016)

Efficient profiling of actor-based applications in parallel and distributed systems. - Andrea Rosà; Lydia Y. Chen; Walter Binder (ICOOOLPS@ECOOP, 2016)

Profiling actor utilization and communication in Akka. - Andrea Rosà; Lydia Y. Chen; Walter Binder (Erlang Workshop, 2016)

Actor profiling in virtual execution environments. - Andrea Rosà; Lydia Y. Chen; Walter Binder (GPCE, 2016)

Dynamic Block Sizing for Data Stream Processing Systems. - Robert Birke; Evangelia Kalyvianaki; Walter Binder; Martin L. Schmatz; Lydia Y. Chen (IC2E Workshops, 2016)

Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity? - Nathaniel Morris; Siva Meenakshi Renganathan; Christopher Stewart; Robert Birke; Lydia Y. Chen (ICAC, 2016)

Dslash: Managing Data in Overloaded Batch Streaming Systems. - Robert Birke; Mathias Björkqvist; Evangelia Kalyvianaki; Lydia Y. Chen (ICDCS, 2016)

An Endpoint Communication Profiling Tool for Distributed Computing Frameworks. - Andrea Rosà; Lydia Y. Chen; Walter Binder (ICDCS, 2016)

Defeating variability in cloud applications by multi-tier workload redundancy. - Robert Birke; Zhan Qiu; Juan F. Pérez; Lydia Y. Chen (INFOCOM Workshops, 2016)

5G in rural and low-income areas: Are we ready? - 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 001; Jinsong Wu 001 (Kaleidoscope, 2016)

Robust Server Consolidation: Coping with Peak Demand Underestimation. - Diarmuid Grimes; Deepak Mehta 001; Barry O'Sullivan; Robert Birke; Lydia Y. Chen; Thomas Scherer; Ignacio Castiñeiras (MASCOTS, 2016)

Tale of Tails: Anomaly Avoidance in Data Centers. - Ji Xue; Robert Birke; Lydia Y. Chen; Evgenia Smirni (SRDS, 2016)

AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses. - Yudi Zheng; Andrea Rosà; Luca Salucci; Yao Li 004; Haiyang Sun 003; Omar Javed; Lubomír Bulej; Lydia Y. Chen; Zhengwei Qi; Walter Binder (SANER, 2016)

PROST: Predicting Resource Usages with Spatial and Temporal Dependencies. - Ji Xue; Evgenia Smirni; Thomas Scherer; Robert Birke; Lydia Y. Chen (ICPE, 2016)

Open Issues in Scheduling Microservices in the Cloud. - Maria Fazio; Antonio Celesti; Rajiv Ranjan 001; Chang Liu 001; Lydia Y. Chen; Massimo Villari (IEEE Cloud Comput., 2016)

Robust partial-load experiments with Showstopper. - Andrej Podzimek; Lubomír Bulej; Lydia Y. Chen; Walter Binder; Petr Tuma 001 (Future Gener. Comput. Syst., 2016)

Virtualization in the Private Cloud: State of the Practice. - Robert Birke; Andrej Podzimek; Lydia Y. Chen; Evgenia Smirni (IEEE Trans. Netw. Serv. Manag., 2016)

On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants. - Neda Nasiriani; Cheng Wang 014; George Kesidis; Bhuvan Urgaonkar; Lydia Y. Chen; Robert Birke (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

Discharging the Network From Its Flow Control Headaches: Packet Drops and HOL Blocking. - Nikolaos Chrysos; Lydia Y. Chen; Christoforos Kachris; Manolis Katevenis (IEEE/ACM Trans. Netw., 2016)

Self-aware Computing Systems: Open Challenges and Future Research Directions. - Robert Birke; Javier Cámara 001; Lydia Y. Chen; Lukas Esterle; Kurt Geihs; Erol Gelenbe; Holger Giese; Anders Robertsson; Xiaoyun Zhu (Self-Aware Computing Systems, 2017)

State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers. - Lydia Y. Chen; Robert Birke; Evgenia Smirni (Self-Aware Computing Systems, 2017)

Early work on modeling computational sprinting. - Nathaniel Morris; Christopher Stewart; Robert Birke; Lydia Y. Chen; Jaimie Kelley (SoCC, 2017)

Meeting Latency Target in Transient Burst: A Case on Spark Streaming. - Robert Birke; Mathias Björkqvist; Evangelia Kalyvianaki; Lydia Y. Chen (IC2E, 2017)

AccStream: Accuracy-Aware Overload Management for Stream Processing Systems. - Haiyang Sun 003; Robert Birke; Walter Binder; Mathias Björkqvist; Lydia Y. Chen (ICAC, 2017)

Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment. - Juan F. Pérez; Robert Birke; Mathias Björkqvist; Lydia Y. Chen (ICDCS, 2017)

Power of redundancy: Designing partial replication for multi-tier applications. - Robert Birke; Juan F. Pérez; Zhan Qiu; Mathias Björkqvist; Lydia Y. Chen (INFOCOM, 2017)

On the latency-accuracy tradeoff in approximate MapReduce jobs. - Juan F. Pérez; Robert Birke; Lydia Y. Chen (INFOCOM, 2017)

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. - Rui Han 001; Fan Zhang 047; Lydia Y. Chen; Jianfeng Zhan (RTSS, 2017)

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 (SRDS, 2017)

Software Defined Membrane: Policy-Driven Edge and Internet of Things Security. - Massimo Villari; Maria Fazio; Schahram Dustdar; Omer F. Rana; Lydia Y. Chen; Rajiv Ranjan 001 (IEEE Cloud Comput., 2017)

Bringing 5G into Rural and Low-Income Areas: Is It Feasible? - 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 001; Antoine B. Bagula; Jinsong Wu 001 (IEEE Commun. Stand. Mag., 2017)

Reprint of "Robust partial-load experiments with Showstopper". - Andrej Podzimek; Lubomír Bulej; Lydia Y. Chen; Walter Binder; Petr Tuma 001 (Future Gener. Comput. Syst., 2017)

Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time. - Derya Cavdar; Lydia Y. Chen; Fatih Alagöz (IEEE Syst. J., 2017)

Cutting Latency Tail: Analyzing and Validating Replication without Canceling. - Zhan Qiu; Juan F. Pérez; Robert Birke; Lydia Y. Chen; Peter G. Harrison (IEEE Trans. Parallel Distributed Syst., 2017)

Failure Analysis and Prediction for Big-Data Systems. - Andrea Rosà; Lydia Y. Chen; Walter Binder (IEEE Trans. Serv. Comput., 2017)

Towards Dynamic End-to-End Privacy Preserving Data Classification. - Rania Talbi; Sara Bouchenak; Lydia Y. Chen (DSN Workshops, 2018)

Model-driven computational sprinting. - Nathaniel Morris; Christopher Stewart; Lydia Y. Chen; Robert Birke; Jaimie Kelley (EuroSys, 2018)

SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems. - Ewnetu Bayuh Lakew; Robert Birke; Juan F. Pérez; Erik Elmroth; Lydia Y. Chen (ICAC, 2018)

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs. - Rui Han 001; Zan Zong; Lydia Y. Chen; Siyi Wang; Jianfeng Zhan (ICDCS, 2018)

A Speech and Lip Authentication System Based On Android Smart Phone. - Xinman Zhang; Jiayu Zhang; Tingting He; Lydia Yiyu Chen; Yuanjun Shen; Xuebin Xu (ICIT, 2018)

Héron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads. - Vikas Jaiman; Sonia Ben Mokhtar; Vivien Quéma; Lydia Y. Chen; Etienne Rivière (SRDS, 2018)

Holistic Workload Scaling: A New Approach to Compute Acceleration in the Cloud. - Juan Fernando Pérez; Lydia Y. Chen; Massimo Villari; Rajiv Ranjan 001 (IEEE Cloud Comput., 2018)

A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications. - Meisong Wang; Prem Prakash Jayaraman; Ellis Solaiman; Lydia Y. Chen; Zheng Li 001; Jun Song 003; Dimitrios Georgakopoulos 001; Rajiv Ranjan 001 (Future Gener. Comput. Syst., 2018)

Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. - Cheng Wang 014; Bhuvan Urgaonkar; George Kesidis; Aayush Gupta; Lydia Y. Chen; Robert Birke (ACM Trans. Auton. Adapt. Syst., 2018)

Optimizing for Tail Sojourn Times of Cloud Clusters. - Mathias Björkqvist; Natarajan Gautam; Robert Birke; Lydia Y. Chen; Walter Binder (IEEE Trans. Cloud Comput., 2018)

Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers. - Ji Xue; Robert Birke; Lydia Y. Chen; Evgenia Smirni (IEEE Trans. Netw. Serv. Manag., 2018)

Automating Deep Neural Network Model Selection for Edge Inference. - Bingqian Lu; Jianyi Yang 001; Lydia Y. Chen; Shaolei Ren (CogMI, 2019)

Robust Anomaly Detection on Unreliable Data. - Zilong Zhao 001; Sophie Cerf; Robert Birke; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (DSN, 2019)

Chisel: Reshaping Queries to Trim Latency in Key-Value Stores. - Robert Birke; Juan F. Pérez; Sonia Ben Mokhtar; Navaneeth Rameshan; Lydia Y. Chen (ICAC, 2019)

Differential Approximation and Sprinting for Multi-Priority Big Data Engines. - Robert Birke; Isabelly Rocha; Juan F. Pérez; Valerio Schiavoni; Pascal Felber; Lydia Y. Chen (Middleware, 2019)

Robust (Deep) Learning Framework Against Dirty Labels and Beyond. - Amirmasoud Ghiassi; Taraneh Younesian; Zilong Zhao 001; Robert Birke; Valerio Schiavoni; Lydia Y. Chen (TPS-ISA, 2019)

Opportunities and Challenges for Resource Management and Machine Learning Clusters. - Lydia Y. Chen (UCC Companion, 2019)

RAD: On-line Anomaly Detection for Highly Unreliable Data. - Zilong Zhao 001; Robert Birke; Rui Han 001; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (CoRR, 2019)

Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers. - Rui Han 001; Chi Harold Liu; Zan Zong; Lydia Y. Chen; Wending Liu; Siyi Wang; Jianfeng Zhan (IEEE Trans. Parallel Distributed Syst., 2019)

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. - Taraneh Younesian; Chi Hong; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (CogMI, 2020)

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 (Middleware, 2020)

An Exploratory Analysis on Users' Contributions in Federated Learning. - Jiyue Huang; Rania Talbi; Zilong Zhao 001; Sara Bouchenak; Lydia Y. Chen; Stefanie Roos (TPS-ISA, 2020)

QActor: On-line Active Learning for Noisy Labeled Stream Data. - Taraneh Younesian; Zilong Zhao 001; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (CoRR, 2020)

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. - Amirmasoud Ghiassi; Robert Birke; Rui Han 001; Lydia Y. Chen (CoRR, 2020)

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. - Amirmasoud Ghiassi; Taraneh Younesian; Robert Birke; Lydia Y. Chen (CoRR, 2020)

Active Learning for Noisy Data Streams Using Weak and Strong Labelers. - Taraneh Younesian; Dick H. J. Epema; Lydia Y. Chen (CoRR, 2020)

On Influencing the Influential: Disparity Seeding. - Arwen Teng; Ting-Wei Li; Yu-chi Liao; Hsi-Wen Chen; Yvonne-Anne Pignolet; De-Nian Yang; Lydia Y. Chen (CoRR, 2020)

SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. - Hao Li 025; Zixuan Li; Kenli Li 001; Jan S. Rellermeyer; Lydia Y. Chen; Keqin Li 001 (CoRR, 2020)

A note on advances in scheduling algorithms for Cyber-Physical-Social workflows. - Rajiv Ranjan 001; Lydia Y. Chen; Prem Prakash Jayaraman; Albert Y. Zomaya (Future Gener. Comput. Syst., 2020)

Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. - Nur Zincir-Heywood; Giuliano Casale; David Carrera 001; Lydia Y. Chen; Amogh Dhamdhere; Takeru Inoue; Hanan Lutfiyya; Taghrid Samak (IEEE Trans. Netw. Serv. Manag., 2020)

Holistic Technologies for Managing Internet of Things Services. - Rajiv Ranjan 001; Ching-Hsien Hsu; Lydia Y. Chen; Dimitrios Georgakopoulos 001 (IEEE Trans. Serv. Comput., 2020)

Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention. - Joel Vallone; Robert Birke; Lydia Y. Chen (IEEE Trans. Serv. Comput., 2020)

CTAB-GAN: Effective Table Data Synthesizing. - Zilong Zhao 001; Aditya Kunar; Robert Birke; Lydia Y. Chen (ACML, 2021)

QActor: Active Learning on Noisy Labels. - Taraneh Younesian; Zilong Zhao 001; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (ACML, 2021)

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. - Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (BDCAT, 2021)

On Influencing the Influential: Disparity Seeding. - Ya-Wen Teng; Hsi-Wen Chen; De-Nian Yang; Yvonne-Anne Pignolet; Ting-Wei Li; Lydia Yiyu Chen (CIKM, 2021)

LABELNET: Recovering Noisy Labels. - Amirmasoud Ghiassi; Robert Birke; Rui Han 001; Lydia Y. Chen (IJCNN, 2021)

Practical Analysis of Replication-Based Systems. - Florin Ciucu; Felix Poloczek; Lydia Y. Chen; Martin Chan (INFOCOM, 2021)

LegoDNN: block-grained scaling of deep neural networks for mobile vision. - Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoren Wang; Jian Tang 008; Lydia Y. Chen (MobiCom, 2021)

Artifact: Masa: Responsive Multi-DNN Inference on the Edge. - Bart Cox; Jeroen Galjaard; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (PerCom Workshops, 2021)

Masa: Responsive Multi-DNN Inference on the Edge. - Bart Cox; Jeroen Galjaard; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (PerCom, 2021)

MemA: Fast Inference of Multiple Deep Models. - Jeroen Galjaard; Bart Cox; Amirmasoud Ghiassi; Lydia Y. Chen; Robert Birke (PerCom Workshops, 2021)

Courier: Real-Time Optimal Batch Size Prediction for Latency SLOs in BigDL. - Diego Albo Martínez; Sharwin Bobde; Tomasz Motyka; Lydia Yiyu Chen (ICPE, 2021)

Online Label Aggregation: A Variational Bayesian Approach. - Chi Hong; Amirmasoud Ghiassi; Yichi Zhou; Robert Birke; Lydia Y. Chen (WWW, 2021)

CTAB-GAN: Effective Table Data Synthesizing. - Zilong Zhao 001; Aditya Kunar; Hiek Van der Scheer; Robert Birke; Lydia Y. Chen (CoRR, 2021)

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. - Jiyue Huang; Chi Hong; Lydia Y. Chen; Stefanie Roos (CoRR, 2021)

DTGAN: Differential Private Training for Tabular GANs. - Aditya Kunar; Robert Birke; Zilong Zhao 001; Lydia Y. Chen (CoRR, 2021)

Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. - Cosmin Octavian Pene; Amirmasoud Ghiassi; Taraneh Younesian; Robert Birke; Lydia Y. Chen (CoRR, 2021)

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. - Zilong Zhao 001; Robert Birke; Aditya Kunar; Lydia Y. Chen (CoRR, 2021)

ComicGAN: Text-to-Comic Generative Adversarial Network. - Ben Proven-Bessel; Zilong Zhao 001; Lydia Y. Chen (CoRR, 2021)

Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis. - Zixuan Li; Hao Li 025; Kenli Li 001; Fan Wu 016; Lydia Y. Chen; Keqin Li 001 (CoRR, 2021)

Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis. - Zixuan Li; Hao Li 025; Kenli Li 001; Fan Wu 016; Lydia Yiyu Chen; Keqin Li 001 (Trans. Data Sci., 2021)

Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. - Sophie Cerf; Sara Bouchenak; Bogdan Robu; Nicolas Marchand; Vincent Primault; Sonia Ben Mokhtar; Antoine Boutet; Lydia Y. Chen (IEEE Trans. Dependable Secur. Comput., 2021)

Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. - Zilong Zhao 001; Robert Birke; Rui Han 001; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (IEEE Trans. Dependable Secur. Comput., 2021)

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. - Rui Han 001; Chi Harold Liu; Shilin Li; Lydia Y. Chen; Guoren Wang; Jian Tang 008; Jieping Ye (IEEE Trans. Knowl. Data Eng., 2021)

Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. - Nur Zincir-Heywood; Giuliano Casale; David Carrera 001; Lydia Y. Chen; Amogh Dhamdhere; Takeru Inoue; Hanan Lutfiyya; Taghrid Samak (IEEE Trans. Netw. Serv. Manag., 2021)

Accurate Differentially Private Deep Learning on the Edge. - Rui Han 001; Dong Li; Junyan Ouyang; Chi Harold Liu; Guoren Wang; Dapeng Wu 001; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms. - Rui Han 001; Shilin Li; Xiangwei Wang; Chi Harold Liu; Gaofeng Xin; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2021)

SGD$ _$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. - Hao Li 025; Zixuan Li; Kenli Li 001; Jan S. Rellermeyer; Lydia Y. Chen; Keqin Li 001 (IEEE Trans. Parallel Distributed Syst., 2021)

sPARE: Partial Replication for Multi-Tier Applications in the Cloud. - Robert Birke; Juan F. Pérez; Zhan Qiu; Mathias Björkqvist; Lydia Y. Chen (IEEE Trans. Serv. Comput., 2021)

Multi Label Loss Correction against Missing and Corrupted Labels. - Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (ACML, 2022)

Trusted Loss Correction for Noisy Multi-Label Learning. - Amirmasoud Ghiassi; Cosmin Octavian Pene; Robert Birke; Lydia Y. Chen (ACML, 2022)

Permutation-Invariant Tabular Data Synthesis. - Yujin Zhu; Zilong Zhao 001; Robert Birke; Lydia Y. Chen (IEEE Big Data, 2022)

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 (CIKM, 2022)

LABNET: A Collaborative Method for DNN Training and Label Aggregation. - Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (ICAART (2), 2022)

Performance Modeling for Short-Term Cache Allocation. - Christopher Stewart; Nathaniel Morris; Lydia Y. Chen; Robert Birke (ICPP, 2022)

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources. - Rui Han 001; Shilin Wen; Chi Harold Liu; Ye Yuan 001; Guoren Wang; Lydia Y. Chen (INFOCOM, 2022)

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. - Han Wu 001; Zilong Zhao 001; Lydia Y. Chen; Aad van Moorsel (ISSRE, 2022)

Aergia: leveraging heterogeneity in federated learning systems. - Bart Cox; Lydia Y. Chen; Jérémie Decouchant (Middleware, 2022)

EdgeTune: Inference-Aware Multi-Parameter Tuning. - Isabelly Rocha; Pascal Felber; Valerio Schiavoni; Lydia Y. Chen (Middleware, 2022)

AGIC: Approximate Gradient Inversion Attack on Federated Learning. - Jin Xu; Chi Hong; Jiyue Huang; Lydia Y. Chen; Jérémie Decouchant (SRDS, 2022)

Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. - Zilong Zhao 001; Jiyue Huang; Stefanie Roos; Lydia Y. Chen (CoRR, 2022)

MEGA: Model Stealing via Collaborative Generator-Substitute Networks. - Chi Hong; Jiyue Huang; Lydia Y. Chen (CoRR, 2022)

Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. - Jiyue Huang; Zilong Zhao 001; Lydia Y. Chen; Stefanie Roos (CoRR, 2022)

CTAB-GAN+: Enhancing Tabular Data Synthesis. - Zilong Zhao 001; Aditya Kunar; Robert Birke; Lydia Y. Chen (CoRR, 2022)

Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets. - Federico Lucchetti; Jérémie Decouchant; Maria Fernandes; Lydia Y. Chen; Marcus Völp (CoRR, 2022)

FCT-GAN: Enhancing Table Synthesis via Fourier Transform. - Zilong Zhao 001; Robert Birke; Lydia Y. Chen (CoRR, 2022)

Memory-aware and context-aware multi-DNN inference on the edge. - Bart Cox; Robert Birke; Lydia Y. Chen (Pervasive Mob. Comput., 2022)

Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G. - Jin Wang 001; Hui Han; Hao Li 025; Shiming He; Pradip Kumar Sharma; Lydia Y. Chen (IEEE Trans. Ind. Informatics, 2022)

Lightweight and Accurate DNN-Based Anomaly Detection at Edge. - Qinglong Zhang; Rui Han 001; Gaofeng Xin; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (IEEE Trans. Parallel Distributed Syst., 2022)

Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge. - Jianxin Zhao 001; Rui Han 001; Yongkai Yang; Benjamin Catterall; Chi Harold Liu; Lydia Y. Chen; Richard Mortier; Jon Crowcroft; Liang Wang 009 (IEEE Trans. Serv. Comput., 2022)

GDTS: GAN-Based Distributed Tabular Synthesizer. - Zilong Zhao 001; Robert Birke; Lydia Y. Chen (CLOUD, 2023)

FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. - Zilong Zhao 001; Robert Birke; Lydia Y. Chen (CIKM, 2023)

Fabricated Flips: Poisoning Federated Learning without Data. - Jiyue Huang; Zilong Zhao 001; Lydia Y. Chen; Stefanie Roos (DSN, 2023)

Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. - Zilong Zhao 001; Jiyue Huang; Lydia Y. Chen; Stefanie Roos (FC, 2023)

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. - Yaxin Luopan; Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (ICDE, 2023)

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (ICDE, 2023)

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning. - Chaoyi Zhu; Stefanie Roos; Lydia Y. Chen (ICML, 2023)

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 (Middleware, 2023)

Maverick Matters: Client Contribution and Selection in Federated Learning. - Jiyue Huang; Chi Hong; Yang Liu; Lydia Y. Chen; Stefanie Roos (PAKDD (2), 2023)

Parameterizing Federated Continual Learning for Reproducible Research. - Bart Cox; Jeroen Galjaard; Aditya Shankar; Jérémie Decouchant; Lydia Y. Chen (PKDD/ECML Workshops (5), 2023)

Exploring and Exploiting Data-Free Model Stealing. - Chi Hong; Jiyue Huang; Robert Birke; Lydia Y. Chen (ECML/PKDD (5), 2023)

Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. - Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (SDM, 2023)

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. - Jeroen M. Galjaard; Robert Birke; Juan F. Pérez; Lydia Y. Chen (CoRR, 2023)

CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model. - Jui-Yi Tsai; Ya-Wen Teng; Ho Chiok Yew; De-Nian Yang; Lydia Y. Chen (CoRR, 2023)

Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs. - Shilin Wen; Rui Han 001; Chi Harold Liu; Lydia Y. Chen (J. Cloud Comput., 2023)

Duwak: Dual Watermarks in Large Language Models. - Chaoyi Zhu; Jeroen Galjaard; Pin-Yu Chen; Lydia Y. Chen (ACL (Findings), 2024)

Trustworthy Federated Learning Systems. - Lydia Y. Chen (CLOSER, 2024)

S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. - Aditya Shankar; Hans Brouwer; Rihan Hai 001; Lydia Y. Chen (ICDE, 2024)

Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. - Yuncong Zuo; Bart Cox; Lydia Y. Chen; Jérémie Decouchant (Middleware, 2024)

DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. - Miruna Betianu; Abele Malan; Marco Aldinucci; Robert Birke; Lydia Y. Chen (PAKDD (3), 2024)

On Dark Knowledge for Distilling Generators. - Chi Hong; Robert Birke; Pin-Yu Chen; Lydia Y. Chen (PAKDD (2), 2024)

On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. - Jiyue Huang; Lydia Y. Chen; Stefanie Roos (SRDS, 2024)

CLUES: Collusive Theft of Conditional Generative Adversarial Networks. - Simon Queyrut; Valerio Schiavoni; Lydia Y. Chen; Pascal Felber; Robert Birke (SRDS, 2024)

TabVFL: Improving Latent Representation in Vertical Federated Learning. - Mohamed Rashad; Zilong Zhao 001; Jérémie Decouchant; Lydia Y. Chen (SRDS, 2024)

The Rise of Diffusion Models in Time-Series Forecasting. - Caspar Meijer; Lydia Y. Chen (CoRR, 2024)

Quantifying and Mitigating Privacy Risks for Tabular Generative Models. - Chaoyi Zhu; Jiayi Tang; Hans Brouwer; Juan F. Pérez; Marten van Dijk; Lydia Y. Chen (CoRR, 2024)

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. - Aditya Shankar; Hans Brouwer; Rihan Hai 001; Lydia Y. Chen (CoRR, 2024)

SFDDM: Single-fold Distillation for Diffusion models. - Chi Hong; Jiyue Huang; Robert Birke; Dick H. J. Epema; Stefanie Roos; Lydia Y. Chen (CoRR, 2024)

CCBNet: Confidential Collaborative Bayesian Networks Inference. - Abele Malan; Jérémie Decouchant; Thiago Guzella; Lydia Y. Chen (CoRR, 2024)

Gradient Inversion of Federated Diffusion Models. - Jiyue Huang; Chi Hong; Lydia Y. Chen; Stefanie Roos (CoRR, 2024)

Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. - Aditya Shankar; Lydia Y. Chen; Jérémie Decouchant; Dimitra Gkorou; Rihan Hai 001 (CoRR, 2024)

Asynchronous Byzantine Federated Learning. - Bart Cox; Abele Malan; Lydia Y. Chen; Jérémie Decouchant (CoRR, 2024)

Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. - Yuncong Zuo; Bart Cox; Lydia Y. Chen; Jérémie Decouchant (CoRR, 2024)

Federated Time Series Generation on Feature and Temporally Misaligned Data. - Chenrui Fan; Zhi Wen Soi; Aditya Shankar; Abele Malan; Lydia Y. Chen (CoRR, 2024)

MPQ-Diff: Mixed Precision Quantization for Diffusion Models. - Rocco Manz Maruzzelli; Basile Lewandowski; Lydia Y. Chen (CoRR, 2024)

Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations. - H. Çagri Bilgi; Lydia Y. Chen; Kubilay Atasu (CoRR, 2024)

CTAB-GAN+: enhancing tabular data synthesis. - Zilong Zhao 001; Aditya Kunar; Robert Birke; Hiek Van der Scheer; Lydia Y. Chen (Frontiers Big Data, 2024)

FedViT: Federated continual learning of vision transformer at edge. - Xiaojiang Zuo; Yaxin Luopan; Rui Han 001; Qinglong Zhang; Chi Harold Liu; Guoyin Wang 001; Lydia Y. Chen (Future Gener. Comput. Syst., 2024)

ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Lydia Y. Chen (IEEE Trans. Computers, 2024)

RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge. - Xinyu Guo; Xiaojiang Zuo; Rui Han 001; Junyan Ouyang; Jing Xie; Chi Harold Liu; Qinglong Zhang; Ying Guo; Jing Chen 030; Lydia Y. Chen (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Amalur: The Convergence of Data Integration and Machine Learning. - Ziyu Li; Wenbo Sun; Danning Zhan; Yan Kang; Lydia Yiyu Chen; Alessandro Bozzon; Rihan Hai 001 (IEEE Trans. Knowl. Data Eng., 2024)

GIDM: Gradient Inversion of Federated Diffusion Models. - Jiyue Huang; Chi Hong; Stefanie Roos; Lydia Y. Chen (ARES (1), 2025)

Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning. - Aditya Shankar; Jérémie Decouchant; Dimitra Gkorou; Rihan Hai 001; Lydia Y. Chen (ARES (1), 2025)

DP-TLDM: Differentially Private Tabular Latent Diffusion Model. - Chaoyi Zhu; Jiayi Tang; Juan F. Pérez; Marten van Dijk; Lydia Y. Chen (ARES (1), 2025)

GTV: Generating Tabular Data via Vertical Federated Learning. - Zilong Zhao 001; Han Wu 001; Aad van Moorsel; Lydia Y. Chen (DSN, 2025)

TabWak: A Watermark for Tabular Diffusion Models. - Chaoyi Zhu; Jiayi Tang; Jeroen M. Galjaard; Pin-Yu Chen; Robert Birke; Cornelis Bos; Lydia Y. Chen (ICLR, 2025)

TabuLa: Harnessing Language Models for Tabular Data Synthesis. - Zilong Zhao 001; Robert Birke; Lydia Y. Chen (PAKDD (5), 2025)

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models. - Caspar Meijer; Jiyue Huang; Shreshtha Sharma; Elena Lazovik; Lydia Y. Chen (SaTML, 2025)

Adaptive ensemble optimization for memory-related hyperparameters in retraining DNN at edge. - Yidong Xu; Rui Han 001; Xiaojiang Zuo; Junyan Ouyang; Chi Harold Liu; Lydia Y. Chen (Future Gener. Comput. Syst., 2025)

SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks. - Nikolay Blagoev; Lydia Yiyu Chen; Oguzhan Ersoy (CoRR, 2025)

WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models. - Aditya Shankar; Lydia Y. Chen; Arie van Deursen; Rihan Hai 001 (CoRR, 2025)

EdgeTA: Neuron-Grained Scaling of Foundation Models in Edge-Side Retraining. - Qinglong Zhang; Rui Han 001; Chi Harold Liu; Guoren Wang; Song Guo 001; Lydia Y. Chen (IEEE Trans. Mob. Comput., 2025)

Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models. - Chaoyi Zhu; Zaitang Li; Renyi Yang; Robert Birke; Pin-Yu Chen; Tsung-Yi Ho; Lydia Y. Chen (CoRR, 2025)

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data. - Zhi Wen Soi; Chaoyi Zhu; Fouad Abiad; Aditya Shankar; Jeroen M. Galjaard; Huijuan Wang; Lydia Y. Chen (CoRR, 2025)

All is Not Lost: LLM Recovery without Checkpoints. - Nikolay Blagoev; Oguzhan Ersoy; Lydia Yiyu Chen (CoRR, 2025)

Match & Choose: Model Selection Framework for Fine-tuning Text-to-Image Diffusion Models. - Basile Lewandowski; Robert Birke; Lydia Y. Chen (CoRR, 2025)