Samuel S. Ogden

16 papers B 3C 1Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review.
IEEE Trans. Affect. Comput.
M. L. Tlachac, Michael V. Heinz, Anastasia C. Bryan, Arielle LaPreay, Geri L. Dimas, Tingting Zhao, Nicholas C. Jacobson, Samuel S. Ogden
2024 C conf
Student Mental Health Screening with Text Message Metadata.
ICMLA
M. L. Tlachac, Samuel S. Ogden
2024 J jnl
Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
M. L. Tlachac, Michael V. Heinz, Miranda Reisch, Samuel S. Ogden
2023 B conf
Layercake: Efficient Inference Serving with Cloud and Mobile Resources.
CCGrid
Samuel S. Ogden, Tian Guo
2022 — conf
Left on Read: Reply Latency for Anxiety & Depression Screening.
UbiComp/ISWC Adjunct
M. L. Tlachac, Samuel S. Ogden
2021 — conf
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching.
ACSOS
Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo
2021 B conf
PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference.
ICPE
Samuel S. Ogden, Xiangnan Kong, Tian Guo
2020 J jnl
Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels.
SIGMETRICS Perform. Evaluation Rev.
Guin Gilman, Samuel S. Ogden, Tian Guo, Robert J. Walls
2020 B conf
MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications.
IC2E
Samuel S. Ogden, Tian Guo
2020 J jnl
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications.
CoRR
Samuel S. Ogden, Tian Guo
2019 — conf
Challenges and Opportunities of DNN Model Execution Caching.
DIDL@Middleware
Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo
2019 J jnl
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications.
CoRR
Samuel S. Ogden, Tian Guo
2019 J jnl
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling.
CoRR
Samuel S. Ogden, Tian Guo
2019 Misc conf
EdgeServe: efficient deep learning model caching at the edge.
SEC
Tian Guo, Robert J. Walls, Samuel S. Ogden
2019 J jnl
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference.
CoRR
Samuel S. Ogden, Tian Guo
2018 — conf
MODI: Mobile Deep Inference Made Efficient by Edge Computing.
HotEdge
Samuel S. Ogden, Tian Guo