Zilinghan Li - RankMe

32 papers A* 2A 1B 2C 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers. CoRR Yijiang Li, Zilinghan Li, Kyle Chard, Ian T. Foster, Todd S. Munson, Ravi K. Madduri, Kibaek Kim
2025	—	`conf`	CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. eScience Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi K. Madduri, Suren Byna
2025	J	`jnl`	CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. CoRR Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi K. Madduri, Suren Byna
2025	J	`jnl`	CDG-MAE: Learning Correspondences from Diffusion Generated Views. CoRR Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2025	—	`conf`	Cost-Aware Federated Learning on the Cloud. eScience Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025	J	`jnl`	EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR 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, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens
2025	—	`conf`	Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science. TPS-ISA Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri
2025	J	`jnl`	Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science. CoRR Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri
2025	J	`jnl`	FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud. CoRR Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025	—	`conf`	FedSpaLLM: Federated Pruning of Large Language Models. NAACL (Long Papers) Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2025	—	`conf`	Pathology Image Compression with Pre-trained Autoencoders. MICCAI (2) Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2025	J	`jnl`	Pathology Image Compression with Pre-trained Autoencoders. CoRR Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2025	J	`jnl`	PixCell: A generative foundation model for digital histopathology images. CoRR 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, Dimitris Samaras
2025	J	`jnl`	TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning. CoRR Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das, Zilinghan Li, Sofiène Boutaj, Pushpak Pati, Srikar Yellapragada, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Prateek Prasanna, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2024	J	`jnl`	Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework. CoRR Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri
2024	—	`conf`	Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. TPS-ISA Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez
2024	J	`jnl`	Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. CoRR Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez
2024	A*	`conf`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	A	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	—	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	J	`jnl`	FedSpaLLM: Federated Pruning of Large Language Models. CoRR Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2024	J	`jnl`	Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. CoRR Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024	J	`jnl`	Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2. Comput. Sci. Eng. Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2023	B	`conf`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 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
2023	J	`jnl`	APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR 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
2023	A*	`conf`	An Efficient Generative Data Imputation Toolbox with Adversarial Learning. ICDE Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin
2023	J	`jnl`	Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR 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
2023	J	`jnl`	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2022	B	`conf`	ActiveMatch: End-To-End Semi-Supervised Active Representation Learning. ICIP Xinkai Yuan, Zilinghan Li, Gaoang Wang
2021	J	`jnl`	ActiveMatch: End-to-end Semi-supervised Active Representation Learning. CoRR Xinkai Yuan, Zilinghan Li, Gaoang Wang
2021	C	`conf`	Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams. ABZ Zilinghan Li, Shilan He, Yiqing Du, Senén González, Klaus-Dieter Schewe