Samuel S. Ogden

16 papers B 3C 1Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / 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