| 2025 | CCGRID | Wrath: Workload Resilience Across Task Hierarchies in Task-Based Parallel Programming Frameworks. | Sicheng Zhou, Zhuozhao Li, Valrie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster |
| 2025 | EMNLP | HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models. | Chuan He, Zhuozhao Li, Song Guo, Xiaocheng Lu, Jinxiang Lai |
| 2025 | ICA3PP | DeFragS: Mitigating Resource Fragmentation in GPU Clusters Through Spatial-Temporal Scheduling. | Haifeng Ni, Bowen Zhang, Zhuozhao Li |
| 2025 | ICPP | ParaCOSM: A Parallel Framework for Continuous Subgraph Matching. | Haibin Lai, Sicheng Zhou, Site Fan, Zhuozhao Li |
| 2025 | ICPP | Lias: Leveraging Performance Counters for Interference Quantification and Mitigation in Multi-processor Systems. | Yangfan Qiao, Zhuozhao Li |
| 2025 | ICPP | Heterogeneity-aware Task Scheduling based on Personalized Federated Reinforcement Learning. | Xin Yong, Li Yan, Zhuozhao Li |
| 2025 | SC | BOER: Enhancing Resource Utilization for Deep Learning Inference with Hybrid Spatial GPU Sharing. | Bowen Zhang, Yuhang Wang, Zhuozhao Li |
| 2024 | ICPP | MIGER: Integrating Multi-Instance GPU and Multi-Process Service for Deep Learning Clusters. | Bowen Zhang, Shuxin Li, Zhuozhao Li |
| 2023 | SOSP | gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. | Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li |
| 2022 | HPDC | HiPS2022: The 2nd Workshop on High Performance Serverless Computing. | Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li |
| 2021 | HPDC | A Serverless Framework for Distributed Bulk Metadata Extraction. | Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin |
| 2020 | CIKM | Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing. | Chenxi Qiu, Anna Cinzia Squicciarini, Zhuozhao Li, Ce Pang, Li Yan |
| 2020 | HPDC | funcX: A Federated Function Serving Fabric for Science. | Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard |
| 2020 | ICDCS | Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. | Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah |
| 2020 | ICPP | Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. | Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah |
| 2019 | CloudCom | ParaOpt: Automated Application Parameterization and Optimization for the Cloud. | Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt |
| 2019 | HPDC | Parsl: Pervasive Parallel Programming in Python. | Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard |
| 2019 | ICCCN | Accelerating Big Data Analytics Using Scale-Up/Out Heterogeneous Clusters. | Zhuozhao Li, Haiying Shen, Lee Ward |
| 2019 | ICDCS | Road Gradient Estimation Using Smartphones: Towards Accurate Estimation on Fuel Consumption and Air Pollution Emission on Roads. | Liuwang Kang, Haiying Shen, Zhuozhao Li |
| 2019 | ICDCS | Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching. | Zhuozhao Li, Haiying Shen |
| 2019 | ICPP | JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks. | Zhuozhao Li, Haiying Shen |
| 2019 | Middleware | Serverless Workflows for Indexing Large Scientific Data. | Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster |
| 2018 | CCGRID | A Network-Aware Scheduler in Data-Parallel Clusters for High Performance. | Zhuozhao Li, Haiying Shen, Ankur Sarker |
| 2018 | ICDCS | PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters. | Zhuozhao Li, Haiying Shen, Cole Miles |
| 2018 | ICDCS | Approaches for Resilience against Cascading Failures in Cloud Datacenters. | Haoyu Wang, Haiying Shen, Zhuozhao Li |
| 2017 | CLOUD | Job scheduling for data-parallel frameworks with hybrid electrical/optical datacenter networks. | Zhuozhao Li, Haiying Shen |
| 2017 | ICDCS | Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy. | Ankur Sarker, Zhuozhao Li, William Kolodzey, Haiying Shen |
| 2016 | CloudCom | Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks. | Abouzar Ghavami, Zhuozhao Li, Haiying Shen |
| 2016 | CloudCom | Goodbye to Fixed Bandwidth Reservation: Job Scheduling with Elastic Bandwidth Reservation in Clouds. | Haiying Shen, Lei Yu, Liuhua Chen, Zhuozhao Li |
| 2016 | ICCCN | Learning Network Graph of SIR Epidemic Cascades Using Minimal Hitting Set Based Approach. | Zhuozhao Li, Haiying Shen, Kang Chen |
| 2015 | ICPP | Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements for High Application Performance. | Zhuozhao Li, Haiying Shen |
| 2014 | INFOCOM | New bandwidth sharing and pricing policies to achieve a win-win situation for cloud provider and tenants. | Haiying Shen, Zhuozhao Li |