| AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers SS Shubha, H Shen Proceedings of the ACM SIGCOMM 2023 Conference, 2023 | 48 | 2023 |
| iWash: A smartwatch handwashing quality assessment and reminder system with real-time feedback in the context of infectious disease S Samyoun, SS Shubha, MAS Mondol, JA Stankovic Smart Health 19, 100171, 2021 | 45 | 2021 |
| {USHER}: Holistic Interference Avoidance for Resource Optimized {ML} Inference SS Shubha, H Shen, A Iyer 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2024 | 32 | 2024 |
| Preparation of bangla speech corpus from publicly available audio & text S Ahmed, N Sadeq, SS Shubha, MN Islam, MA Adnan, MZ Islam 2020 Language Resources and Evaluation Conference (LREC), 2020 | 21 | 2020 |
| Maximizing heterogeneous coverage in over and under provisioned visual sensor networks A Al Zishan, I Karim, SS Shubha, A Rahman Journal of Network and Computer Applications 124, 44-62, 2018 | 21 | 2018 |
| Bangla voice command recognition in end-to-end system using topic modeling based contextual rescoring N Sadeq, S Ahmed, SS Shubha, MN Islam, MA Adnan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 9 | 2020 |
| A diverse noise-resilient dnn ensemble model on edge devices for time-series data SS Shubha, T Sen, H Shen, M Normansell 2021 18th Annual IEEE International Conference on Sensing, Communication …, 2021 | 8 | 2021 |
| Customizing grapheme-to-phoneme system for non-trivial transcription problems in bangla language SS Shubha, N Sadeq, S Ahmed, MN Islam, MA Adnan, MYA Khan, ... NAACL 2019-2019 Conference of the North American Chapter of the Association …, 2019 | 3 | 2019 |
| Accurate and Efficient Distributed COVID-19 Spread Prediction based on a Large-Scale Time-Varying People Mobility Graph SS Shubha, S Mahmud, H Shen, G Fox, M Marathe 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 | 1 | 2023 |
| Trustworthy Distributed Deep Neural Network Training in an Edge Device Network SS Shubha, H Shen 2022 IEEE International Conference on Big Data (Big Data), 2022 | 1 | 2022 |
| Challenges of distributed computing for pandemic spread prediction based on large-scale human interaction data SS Shubha, S Mahmud, H Shen 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 2021 | 1 | 2021 |
| AdaGen: Workload-Adaptive Cluster Scheduler for Latency-Optimal LLM Inference Serving SS Shubha, A Goel, DZ Toothaghaj, K Diab, H Soni, KK Ramakrishnan, ... ACM EuroSys 2026, 2026 | | 2026 |
| CIS: Checkpointed Inference for Data Drift-Resilient Model Serving at Edge Servers SS Shubha, H Shen, G Ananthanarayanan ACM SoCC 2025, 2025 | | 2025 |
| An Accurate and Efficient Clustered Federated Learning for Mobile Edge Devices SS Shubha, H Shen 2024 IEEE/ACM Symposium on Edge Computing (SEC), 110-122, 2024 | | 2024 |
Haiying ShenAssociate Professor of Computer Science, University of VirginiaVerified email at virginia.edu
