Publications

2026

1. AAAI’26

   TokenPowerBench: Benchmarking the Power Consumption of LLM Inference

   Chenxu Niu, Wei Zhang, Jie Li, Yongjian Zhao, Tongyang Wang, Xi Wang, and Yong Chen

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’26), 2026

   (Acceptance Rate: 4,167/23,680=17.6%)

   DOI arXiv

   
2. PEARC’26

   Power-Centric Observability for HPC Systems: Design, Deployment, and Evaluation on REPACSS

   Yongjian Zhao, Jie Li, Chenxu Niu, Alan Sill, and Yong Chen

   In Practice and Experience in Advanced Research Computing (PEARC’26), 2026

   
3. SC’26

   OCEAN: Open-Source CXL Emulation for Hyperscale Architecture and Networking

   Yiwei Yang, Mujahid Al Rafi, Jesun Sahariar Firoz, Zhen Peng, Xi Wang, Kenza Bouasker, Sayan Ghosh, Jie Li, Daniel Wang, Dong Li, Hyeran Jeon, Kevin Barker, Nathan Tallent, and Luanzheng Guo

   In The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’26), 2026

   Accepted
4. arXiv’26

   From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving

   Jie Li, Tongyang Wang, and Yong Chen

   arXiv preprint arXiv:2607.02574, 2026

   arXiv

   
5. arXiv’26

   Trusted Credentials, Untrusted Behavior: Benchmarking LLM-Agent Security in High-Performance Computing

   Jie Li

   arXiv preprint arXiv:2607.18485, 2026

   arXiv

   

2024

1. ICNC’24

   Towards Cycle-accurate Simulation of xBGAS

   Jie Li, John D Leidel, Brian Page, and Yong Chen

   In 2024 International Conference on Computing, Networking and Communications (ICNC’24), 2024

   DOI

   
2. IPDPSW’24

   Scheduling and Allocation of Disaggregated Memory Resources in HPC Systems

   Jie Li, George Michelogiannakis, Brandon Cook, John Shalf, and Yong Chen

   In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW’24), 2024

   DOI
3. CLUSTER’24

   Job Scheduling in High Performance Computing Systems with Disaggregated Memory Resources

   Jie Li, George Michelogiannakis, Samuel Maloney, Brandon Cook, Estela Suarez, John Shalf, and Yong Chen

   In 2024 IEEE International Conference on Cluster Computing (CLUSTER’24), 2024

   DOI

   

2023

1. arXiv’23

   ARcode: HPC Application Recognition Through Image-encoded Monitoring Data

   Jie Li, Brandon Cook, and Yong Chen

   arXiv preprint arXiv:2301.08612, 2023

   DOI

   
2. ISC’23

   Analyzing Resource Utilization in an HPC System: A Case Study of NERSC’s Perlmutter

   Jie Li, George Michelogiannakis, Brandon Cook, Dulanya Cooray, and Yong Chen

   In International Conference on High Performance Computing (ISC’23), 2023

   (Acceptance Rate: 21/78=26.9%)

   DOI

   
3. CLOUD’23

   Workload Failure Prediction for Data Centers

   Jie Li, Rui Wang, Ghazanfar Ali, Tommy Dang, Alan Sill, and Yong Chen

   In 2023 IEEE 16th International Conference on Cloud Computing (CLOUD’23), 2023

   DOI

   
4. CLOUD’23

   Effective Management of Time Series Data

   Cristiano E. Caon, Jie Li, and Yong Chen

   In 2023 IEEE 16th International Conference on Cloud Computing (CLOUD’23), 2023

   DOI

   
5. ISVC’23

   Spiro: Order-Preserving Visualization in High Performance Computing Monitoring

   Tommy Dang, Ngan VT Nguyen, Jie Li, Alan Sill, and Yong Chen

   In International Symposium on Visual Computing (ISVC’23), 2023

   DOI

   

2022

1. BDCAT’22

   JobViewer: Graph-based Visualization for Monitoring High-Performance Computing System

   Tommy Dang, Ngan VT Nguyen, Jie Li, Alan Sill, Jon Hass, and Yong Chen

   In 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT’22), 2022

   DOI

   

2021

1. TC’21

   HAM: Hotspot-Aware Manager for Improving Communications With 3D-Stacked Memory

   Xi Wang, Antonino Tumeo, John D Leidel, Jie Li, and Yong Chen

   IEEE Transactions on Computers (IEEE Trans Comput), 2021

   DOI

   
2. VisGap’21

   The Gap between Visualization Research and Visualization Software in High-Performance Computing Center

   Tommy Dang, Ngan Nguyen, Jon Hass, Jie Li, Yong Chen, and Alan Sill

   The Gap between Visualization Research and Visualization Software (VisGap’21), 2021

   DOI

   

2020

1. PEARC’20

   RadarViewer: Visualizing the Dynamics of Multivariate Data

   Ngan Nguyen, Jon Hass, Yong Chen, Jie Li, Alan Sill, and Tommy Dang

   In Practice and Experience in Advanced Research Computing (PEARC’20), 2020

   DOI

   
2. CLUSTER’20

   MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems

   Jie Li, Ghazanfar Ali, Ngan Nguyen, Jon Hass, Alan Sill, Tommy Dang, and Yong Chen

   In 2020 IEEE International Conference on Cluster Computing (CLUSTER’20), 2020

   (Acceptance Rate: 27/132=20.5%)

   DOI

   

2019

1. ICPP’19

   MAC: Memory Access Coalescer for 3D-Stacked Memory

   Xi Wang, Antonino Tumeo, John D Leidel, Jie Li, and Yong Chen

   In Proceedings of the 48th International Conference on Parallel Processing (ICPP’19), 2019

   (Acceptance Rate: 106/405=26.2%)

   DOI

   
2. MemSys’19

   PIMS: A Lightweight Processing-in-Memory Accelerator for Stencil Computations

   Jie Li, Xi Wang, Antonino Tumeo, Brody Williams, John D Leidel, and Yong Chen

   In Proceedings of the International Symposium on Memory Systems (MemSys’19), 2019

   DOI

   
3. BigData’19

   MTSAD: Multivariate Time Series Abnormality Detection and Visualization

   Vung Pham, Ngan Nguyen, Jie Li, Jon Hass, Yong Chen, and Tommy Dang

   In 2019 IEEE International Conference on Big Data (BigData’19), 2019

   DOI