Toward Automating Work Consolidation with Performance Guarantees in Storage Clusters. - Feng Yan 001; Xenia Mountrouidou; Alma Riska; Evgenia Smirni (MASCOTS, 2011)

Copy rate synchronization with performance guarantees for work consolidation in storage clusters. - Feng Yan 001; Xenia Mountrouidou; Alma Riska; Evgenia Smirni (SIGMETRICS Perform. Evaluation Rev., 2011)

Toward fast eventual consistency with performance guarantees. - Feng Yan 001; Alma Riska; Evgenia Smirni (ICAC, 2012)

Fast Eventual Consistency with Performance Guarantees for Distributed Storage. - Feng Yan 001; Alma Riska; Evgenia Smirni (ICDCS Workshops, 2012)

Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings. - Feng Yan 001; Xenia Mountrouidou; Evgenia Smirni (HotPower, 2012)

Busy bee: how to use traffic information for better scheduling of background tasks. - Feng Yan 001; Alma Riska; Evgenia Smirni (ICPE, 2012)

Overcoming Limitations of Off-the-Shelf Priority Schedulers in Dynamic Environments. - Feng Yan 001; Shannon Hughes; Alma Riska; Evgenia Smirni (MASCOTS, 2013)

Optimizing Power and Performance Trade-offs of MapReduce Job Processing with Heterogeneous Multi-core Processors. - Feng Yan 001; Ludmila Cherkasova; Zhuoyao Zhang; Evgenia Smirni (IEEE CLOUD, 2014)

Storage Workload Isolation via Tier Warming: How Models Can Help. - Ji Xue; Feng Yan 001; Alma Riska; Evgenia Smirni (ICAC, 2014)

Heterogeneous cores for MapReduce processing: Opportunity or challenge? - Feng Yan 001; Ludmila Cherkasova; Zhuoyao Zhang; Evgenia Smirni (NOMS, 2014)

Agile middleware for scheduling: meeting competing performance requirements of diverse tasks. - Feng Yan 001; Shannon Hughes; Alma Riska; Evgenia Smirni (ICPE, 2014)

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

Proactive Management of Systems via Hybrid Analytic Techniques. - Ji Xue; Feng Yan 001; Alma Riska; Evgenia Smirni (ICCAC, 2015)

Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems. - Feng Yan 001; Olatunji Ruwase; Yuxiong He; Trishul M. Chilimbi (KDD, 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)

Workload interleaving with performance guarantees in data centers. - Feng Yan 001; Evgenia Smirni (NOMS, 2016)

SERF: efficient scheduling for fast deep neural network serving via judicious parallelism. - Feng Yan 001; Yuxiong He; Olatunji Ruwase; Evgenia Smirni (SC, 2016)

Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy. - Ji Xue; Feng Yan 001; Alma Riska; Evgenia Smirni (Clust. Comput., 2016)

PREFiguRE: An Analytic Framework for HDD Management. - Feng Yan 001; Xenia Mountrouidou; Alma Riska; Evgenia Smirni (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

How to Supercharge the Amazon T2: Observations and Suggestions. - Feng Yan 001; Lihua Ren; Daniel J. Dubois; Giuliano Casale; Jiawei Wen; Evgenia Smirni (CLOUD, 2017)

HyperDrive: exploring hyperparameters with POP scheduling. - Jeff Rasley; Yuxiong He; Feng Yan 001; Olatunji Ruwase; Rodrigo Fonseca (Middleware, 2017)

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. - Wei Wen; Cong Xu 002; Feng Yan 001; Chunpeng Wu; Yandan Wang; Yiran Chen 001; Hai Li 001 (NIPS, 2017)

DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors. - Feng Yan 001; Ludmila Cherkasova; Zhuoyao Zhang; Evgenia Smirni (IEEE Trans. Cloud Comput., 2017)

Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory. - Xinying Wang 001; Cong Xu 002; Ke Wang 012; Feng Yan 001; Dongfang Zhao 001 (IEEE CLOUD, 2018)

CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. - Ahsan Ali; Riccardo Pinciroli; Feng Yan 001; Evgenia Smirni (ICAC, 2018)

Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. - Chengliang Zhang; Huangshi Tian; Wei Wang 030; Feng Yan 001 (ICDCS, 2018)

SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. - Wei Wen; Yandan Wang; Feng Yan 001; Cong Xu 002; Yiran Chen 001; Hai Li 001 (CoRR, 2018)

Differentiable Fine-grained Quantization for Deep Neural Network Compression. - Hsin-Pai Cheng; Yuanjun Huang; Xuyang Guo; Yifei Huang 007; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Feng Yan 001; Shiyu Li 001; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

Efficient Deep Neural Network Serving: Fast and Furious. - Feng Yan 001; Yuxiong He; Olatunji Ruwase; Evgenia Smirni (IEEE Trans. Netw. Serv. Manag., 2018)

Towards Decentralized Deep Learning with Differential Privacy. - Hsin-Pai Cheng; Patrick Yu; Haojing Hu; Syed Zawad; Feng Yan 001; Shiyu Li 001; Hai Helen Li; Yiran Chen 001 (CLOUD, 2019)

Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. - Xinying Wang 001; Abdullah Al-Mamun 001; Feng Yan 001; Dongfang Zhao 001 (CLOUD, 2019)

GRNN: Low-Latency and Scalable RNN Inference on GPUs. - Connor Holmes; Daniel Mawhirter; Yuxiong He; Feng Yan 001; Bo Wu 002 (EuroSys, 2019)

MSNet: Structural Wired Neural Architecture Search for Internet of Things. - Hsin-Pai Cheng; Tunhou Zhang; Yukun Yang 001; Feng Yan 001; Harris Teague; Yiran Chen 001; Hai Li 001 (ICCV Workshops, 2019)

It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds. - Ahsan Ali; Riccardo Pinciroli; Feng Yan 001; Evgenia Smirni (Middleware Industry, 2019)

Swift machine learning model serving scheduling: a region based reinforcement learning approach. - Heyang Qin; Syed Zawad; Yanqi Zhou; Lei Yang 001; Dongfang Zhao 001; Feng Yan 001 (SC, 2019)

MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. - Chengliang Zhang; Minchen Yu; Wei Wang 030; Feng Yan 001 (USENIX ATC, 2019)

BlockLite: A Lightweight Emulator for Public Blockchains. - Xinying Wang 001; Abdullah Al-Mamun 001; Feng Yan 001; Mohammad Sadoghi; Dongfang Zhao 001 (CoRR, 2019)

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. - Wei Wen; Feng Yan 001; Hai Helen Li (CoRR, 2019)

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. - Hsin-Pai Cheng; Tunhou Zhang; Yukun Yang 001; Feng Yan 001; Shiyu Li 001; Harris Teague; Hai Helen Li; Yiran Chen 001 (CoRR, 2019)

EPNAS: Efficient Progressive Neural Architecture Search. - Yanqi Zhou; Peng Wang; Sercan Ömer Arik; Haonan Yu; Syed Zawad; Feng Yan 001; Greg Diamos (CoRR, 2019)

HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. - Xinying Wang 001; Olamide Timothy Tawose; Feng Yan 001; Dongfang Zhao 001 (AAAI, 2020)

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. - Tunhou Zhang; Hsin-Pai Cheng; Zhenwen Li; Feng Yan 001; Chengyu Huang 001; Hai Helen Li; Yiran Chen 001 (AAAI, 2020)

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. - Huanrui Yang; Minxue Tang; Wei Wen; Feng Yan 001; Daniel Hu; Ang Li 005; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2020)

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. - Ao Wang; Jingyuan Zhang; Xiaolong Ma; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (FAST, 2020)

TiFL: A Tier-based Federated Learning System. - Zheng Chai; Ahsan Ali; Syed Zawad; Stacey Truex; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Heiko Ludwig; Feng Yan 001; Yue Cheng 001 (HPDC, 2020)

Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. - Jun Yi; Chengliang Zhang; Wei Wang 030; Cheng Li 001; Feng Yan 001 (IPDPS, 2020)

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. - Wei Wen; Feng Yan 001; Yiran Chen 001; Hai Li 001 (KDD, 2020)

Batch: machine learning inference serving on serverless platforms with adaptive batching. - Ahsan Ali; Riccardo Pinciroli; Feng Yan 001; Evgenia Smirni (SC, 2020)

SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems. - Amirhessam Yazdi; Xing Lin; Lei Yang 004; Feng Yan 001 (SC, 2020)

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. - Chengliang Zhang; Suyi Li 002; Junzhe Xia; Wei Wang 030; Feng Yan 001; Yang Liu 165 (USENIX ATC, 2020)

Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. - Xinying Wang 001; Olamide Timothy Tawose; Feng Yan 001; Dongfang Zhao 001 (CoRR, 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Shiyu Li 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Helen Li; Yiran Chen 001 (CoRR, 2020)

ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations. - Feng Li 025; Dali Wang; Feng Yan 001; Fengguang Song (CoRR, 2020)

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (CoRR, 2020)

Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. - Heyang Qin; Syed Zawad; Yanqi Zhou; Sanjay Padhi; Lei Yang 001; Feng Yan 001 (IEEE Internet Things J., 2020)

NASGEM: Neural Architecture Search via Graph Embedding Method. - Hsin-Pai Cheng; Tunhou Zhang; Yixing Zhang; Shiyu Li 001; Feng Liang 001; Feng Yan 001; Meng Li 004; Vikas Chandra; Hai Li 001; Yiran Chen 001 (AAAI, 2021)

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. - Syed Zawad; Ahsan Ali; Pin-Yu Chen; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Yuan Tian 001; Feng Yan 001 (AAAI, 2021)

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning. - Chengliang Zhang; Junzhe Xia; Baichen Yang; Huancheng Puyang; Wei Wang 030; Ruichuan Chen; Istemi Ekin Akkus; Paarijaat Aditya; Feng Yan 001 (SoCC, 2021)

SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing. - Abdullah Al-Mamun 001; Feng Yan 001; Dongfang Zhao 001 (ICDE, 2021)

The Age of Correlated Features in Supervised Learning based Forecasting. - Md Kamran Chowdhury Shisher; Heyang Qin; Lei Yang 001; Feng Yan 001; Yin Sun (INFOCOM Workshops, 2021)

SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement. - Heyang Qin; Samyam Rajbhandari; Olatunji Ruwase; Feng Yan 001; Lei Yang 001; Yuxiong He (NeurIPS, 2021)

X-composer: enabling cross-environments in-situ workflows between HPC and cloud. - Feng Li 025; Dali Wang; Feng Yan 001; Fengguang Song (PASC, 2021)

BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems. - Abdullah Al-Mamun 001; Feng Yan 001; Dongfang Zhao 001 (SC, 2021)

Lunule: an agile and judicious metadata load balancer for CephFS. - Yiduo Wang 002; Cheng Li 001; Xinyang Shao; Youxu Chen; Feng Yan 001; Yinlong Xu (SC, 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 2021)

Gradient Compression Supercharged High-Performance Data Parallel DNN Training. - Youhui Bai; Cheng Li 001; Quan Zhou; Jun Yi; Ping Gong 009; Feng Yan 001; Ruichuan Chen; Yinlong Xu (SOSP, 2021)

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. - Chengliang Zhang; Junzhe Xia; Baichen Yang; Huancheng Puyang; Wei Wang 030; Ruichuan Chen; Istemi Ekin Akkus; Paarijaat Aditya; Feng Yan 001 (CoRR, 2021)

AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. - Jiawei Wang; Cheng Li 001; Kai Ma; Jingze Huo; Feng Yan 001; Xinyu Feng 001; Yinlong Xu (Proc. VLDB Endow., 2021)

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. - Lixing Yu; Ming Li 006; Wenqiang Jin; Yifan Guo 001; Qianlong Wang; Feng Yan 001; Pan Li 001 (IEEE Trans. Mob. Comput., 2021)

CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics. - Riccardo Pinciroli; Ahsan Ali; Feng Yan 001; Evgenia Smirni (IEEE Trans. Netw. Serv. Manag., 2021)

Introduction to Federated Learning Systems. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Local Training and Scalability of Federated Learning Systems. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Straggler Management. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

Systems Bias in Federated Learning. - Syed Zawad; Feng Yan 001; Ali Anwar 001 (Federated Learning, 2022)

TIFF: Tokenized Incentive for Federated Learning. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (CLOUD, 2022)

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. - Hsin-Pai Cheng; Feng Liang 001; Meng Li 004; Bowen Cheng; Feng Yan 001; Hai Li 001; Vikas Chandra; Yiran Chen 001 (AutoML, 2022)

Heterogeneity-Aware Adaptive Federated Learning Scheduling. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (IEEE Big Data, 2022)

Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays. - Olamide Timothy Tawose; Bin Li; Lei Yang 001; Feng Yan 001; Dongfang Zhao 001 (IPDPS, 2022)

SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training. - Ahsan Ali; Syed Zawad; Paarijaat Aditya; Istemi Ekin Akkus; Ruichuan Chen; Feng Yan 001 (CoRR, 2022)

BiFeat: Supercharge GNN Training via Graph Feature Quantization. - Yuxin Ma; Ping Gong 009; Jun Yi; Zhewei Yao; Minjie Wang; Cheng Li 001; Yuxiong He; Feng Yan 001 (CoRR, 2022)

Sion: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (CoRR, 2022)

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. - Tunhou Zhang; Mingyuan Ma; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CoRR, 2022)

Optimizing Inference Serving on Serverless Platforms. - Ahsan Ali; Riccardo Pinciroli; Feng Yan 001; Evgenia Smirni (Proc. VLDB Endow., 2022)

Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection. - Amirhessam Yazdi; Heyang Qin; Connor B. Jordan; Lei Yang 001; Feng Yan 001 (Remote. Sens., 2022)

Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. - Xinying Wang 001; Cong Xu 002; Ke Wang 012; Feng Yan 001; Dongfang Zhao 001 (IEEE Trans. Big Data, 2022)

Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. - Chengliang Zhang; Minchen Yu; Wei Wang 030; Feng Yan 001 (IEEE Trans. Cloud Comput., 2022)

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. - Syed Zawad; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Feng Yan 001 (CCGrid, 2023)

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. - Xinying Wang 001; Lipeng Wan 001; Scott Klasky; Dongfang Zhao 001; Feng Yan 001 (CLUSTER, 2023)

MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. - Quan Zhou; Haiquan Wang; Xiaoyan Yu; Cheng Li 001; Youhui Bai; Feng Yan 001; Yinlong Xu (HPCA, 2023)

DySR: Adaptive Super-Resolution via Algorithm and System Co-design. - Syed Zawad; Cheng Li 001; Zhewei Yao; Elton Zheng; Yuxiong He; Feng Yan 001 (ICLR, 2023)

: Joint Point Interaction-Dimension Search for 3D Point Cloud. - Tunhou Zhang; Mingyuan Ma; Feng Yan 001; Hai Li 001; Yiran Chen 001 (WACV, 2023)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Feng Yan 001; Hai Li 001; Yiran Chen 001; Wei Wen (WWW, 2023)

ZeRO++: Extremely Efficient Collective Communication for Giant Model Training. - Guanhua Wang; Heyang Qin; Sam Ade Jacobs; Connor Holmes; Samyam Rajbhandari; Olatunji Ruwase; Feng Yan 001; Lei Yang 001; Yuxiong He (CoRR, 2023)

Farthest Greedy Path Sampling for Two-shot Recommender Search. - Yufan Cao 002; Tunhou Zhang; Wei Wen; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CoRR, 2023)

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach. - Seyed Mahmoud Sajjadi Mohammadabadi; Syed Zawad; Feng Yan 001; Lei Yang 001 (CoRR, 2023)

InfiniStore: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Vasily Tarasov; Dimitrios Skourtis; Feng Yan 001; Yue Cheng 001 (Proc. VLDB Endow., 2023)

AI augmented Edge and Fog computing: Trends and challenges. - Shreshth Tuli; Fatemeh Mirhakimi; Samodha Pallewatta; Syed Zawad; Giuliano Casale; Bahman Javadi; Feng Yan 001; Rajkumar Buyya; Nicholas R. Jennings (J. Netw. Comput. Appl., 2023)

DistDNAS: Search Efficient Feature Interactions within 2 Hours. - Tunhou Zhang; Wei Wen; Igor Fedorov; Xi Liu; Buyun Zhang; Fangqiu Han; Wen-Yen Chen; Yiping Han; Feng Yan 001; Hai Li 001; Yiran Chen 001 (IEEE Big Data, 2024)

CSCO: Connectivity Search of Convolutional Operators. - Tunhou Zhang; Shiyu Li 001; Hsin-Pai Cheng; Feng Yan 001; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2024)

Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. - Kai Ma; Cheng Li 001; Enzuo Zhu; Ruichuan Chen; Feng Yan 001; Kang Chen (EuroSys, 2024)

Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. - Seyed Mahmoud Sajjadi Mohammadabadi; Lei Yang 001; Feng Yan 001; Junshan Zhang (ICDCS, 2024)

ZeRO++: Extremely Efficient Collective Communication for Large Model Training. - Guanhua Wang; Heyang Qin; Sam Ade Jacobs; Xiaoxia Wu; Connor Holmes; Zhewei Yao; Samyam Rajbhandari; Olatunji Ruwase; Feng Yan 001; Lei Yang 001; Yuxiong He (ICLR, 2024)

MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. - Xiaolong Ma; Feng Yan 001; Lei Yang 001; Ian T. Foster; Michael E. Papka; Zhengchun Liu; Rajkumar Kettimuthu (ICPE, 2024)

Peeking Behind the Curtains of Residual Learning. - Tunhou Zhang; Feng Yan 001; Hai Helen Li; Yiran Chen 001 (CoRR, 2024)

MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. - Xiaolong Ma; Feng Yan 001; Lei Yang 001; Ian T. Foster; Michael E. Papka; Zhengchun Liu; Rajkumar Kettimuthu (CoRR, 2024)

A survey on self-supervised learning: Recent advances and open problems. - Jianping Zhang; Lei Yang 001; Seyed Mahmoud Sajjadi Mohammadabadi; Feng Yan 001 (Neurocomputing, 2025)

Enabling scalable and adaptive machine learning training via serverless computing on public cloud. - Ahsan Ali; Xiaolong Ma; Syed Zawad; Paarijaat Aditya; Istemi Ekin Akkus; Ruichuan Chen; Lei Yang 001; Feng Yan 001 (Perform. Evaluation, 2025)

FedCust: Offloading hyperparameter customization for federated learning. - Syed Zawad; Xiaolong Ma; Jun Yi; Cheng Li 001; Minjia Zhang; Lei Yang 001; Feng Yan 001; Yuxiong He (Perform. Evaluation, 2025)

Agentic Verification for Ambiguous Query Disambiguation. - Youngwon Lee 003; Seung-won Hwang; Ruofan Wu; Feng Yan 001; Danmei Xu; Moutasem Akkad; Zhewei Yao; Yuxiong He (CoRR, 2025)

Speed Up Federated Learning in Heterogeneous Environments: A Dynamic Tiering Approach. - Seyed Mahmoud Sajjadi Mohammadabadi; Syed Zawad; Feng Yan 001; Lei Yang 001 (IEEE Internet Things J., 2025)

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering. - Ruofan Wu; Youngwon Lee 003; Fan Shu; Danmei Xu; Seung-won Hwang; Zhewei Yao; Yuxiong He; Feng Yan 001 (CoRR, 2025)

A Generic, High-Performance, Compression-Aware Framework for Data Parallel DNN Training. - Hao Wu 077; Shiyi Wang; Youhui Bai; Cheng Li 001; Quan Zhou; Jun Yi; Feng Yan 001; Ruichuan Chen; Yinlong Xu (IEEE Trans. Parallel Distributed Syst., 2025)

Towards Automated Model Design on Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Yudong Liu; Feng Cheng; Yufan Cao 002; Feng Yan 001; Hai Li 001; Yiran Chen 001; et al. (Trans. Recomm. Syst., 2025)