Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams. - Zilinghan Li; Shilan He; Yiqing Du; Senén González; Klaus-Dieter Schewe (ABZ, 2021)

ActiveMatch: End-To-End Semi-Supervised Active Representation Learning. - Xinkai Yuan; Zilinghan Li; Gaoang Wang (ICIP, 2022)

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. - Zilinghan Li; Shilan He; Pranshu Chaturvedi; Trung-Hieu Hoang; Minseok Ryu; Eliu A. Huerta; Volodymyr V. Kindratenko; Jordan D. Fuhrman; Maryellen L. Giger; Ryan Chard; Kibaek Kim; Ravi K. Madduri (e-Science, 2023)

An Efficient Generative Data Imputation Toolbox with Adversarial Learning. - Yangyang Wu; Xiaoye Miao; Zilinghan Li; Shilan He; Xinkai Yuan; Jianwei Yin (ICDE, 2023)

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. - Trung-Hieu Hoang; Jordan D. Fuhrman; Ravi K. Madduri; Miao Li; Pranshu Chaturvedi; Zilinghan Li; Kibaek Kim; Minseok Ryu; Ryan Chard; Eliu A. Huerta; Maryellen L. Giger (CoRR, 2023)

Character Face in Video. - Zilinghan Li; Xiwei Wang; Zhenning Zhang; Volodymyr V. Kindratenko (IEEE DataPort, 2023)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. - Grant Wilkins; Sheng Di; Jon C. Calhoun; Zilinghan Li; Kibaek Kim; Robert Underwood; Richard Mortier; Franck Cappello (ICDCS, 2024)

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. - Zilinghan Li; Pranshu Chaturvedi; Shilan He; Han Chen; Gagandeep Singh; Volodymyr V. Kindratenko; Eliu A. Huerta; Kibaek Kim; Ravi K. Madduri (ICLR, 2024)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. - Ravi K. Madduri; Zilinghan Li; Tarak Nandi; Kibaek Kim; Minseok Ryu; Alex Rodriguez (TPS-ISA, 2024)

Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework. - Zilinghan Li; Shilan He; Ze Yang; Minseok Ryu; Kibaek Kim; Ravi K. Madduri (CoRR, 2024)

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. - Varun Belagali; Srikar Yellapragada; Alexandros Graikos; Saarthak Kapse; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2024)

Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2. - Zilinghan Li; Shilan He; Pranshu Chaturvedi; Volodymyr V. Kindratenko; Eliu A. Huerta; Kibaek Kim; Ravi K. Madduri (Comput. Sci. Eng., 2024)

FedSpaLLM: Federated Pruning of Large Language Models. - Guangji Bai; Yijiang Li; Zilinghan Li; Liang Zhao 002; Kibaek Kim (NAACL (Long Papers), 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)

Pathology Image Compression with Pre-trained Autoencoders. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2025)

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud. - Aditya Sinha; Zilinghan Li; Tingkai Liu; Volodymyr V. Kindratenko; Kibaek Kim; Ravi K. Madduri (CoRR, 2025)

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. - Kaveen Hiniduma; Zilinghan Li; Aditya Sinha; Ravi K. Madduri; Suren Byna (CoRR, 2025)

PixCell: A generative foundation model for digital histopathology images. - Srikar Yellapragada; Alexandros Graikos; Zilinghan Li; Kostas Triaridis; Varun Belagali; Saarthak Kapse; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz; et al. (CoRR, 2025)

CDG-MAE: Learning Correspondences from Diffusion Generated Views. - Varun Belagali; Pierre Marza; Srikar Yellapragada; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Joel H. Saltz; Stergios Christodoulidis; Maria Vakalopoulou; Dimitris Samaras (CoRR, 2025)