Tian Guo

Orcid: 0000-0003-0060-2266

Affiliations:
  • Worcester Polytechnic Institute, Worcester, MA, USA
  • University of Massachusetts Amherst, MA, USA (PhD)


According to our database1, Tian Guo authored at least 78 papers between 2012 and 2024.

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Bibliography

2024
Multi-Camera Lighting Estimation for Mobile Augmented Reality.
GetMobile Mob. Comput. Commun., September, 2024

Multi-Objective Neural Architecture Search by Learning Search Space Partitions.
J. Mach. Learn. Res., 2024

Scoping Sustainable Collaborative Mixed Reality.
CoRR, 2024

HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors.
CoRR, 2024

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework.
CoRR, 2024

Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

Mobile AR Depth Estimation: Challenges & Prospects.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024

FairCIM: Fair Interference Mitigation by DNN Switching for Latency-Sensitive Inference Jobs.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Mobile AR Depth Estimation: Challenges & Prospects - Extended Version.
CoRR, 2023

Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding.
CoRR, 2023

Opportunities of Renewable Energy Powered DNN Inference.
CoRR, 2023

Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality.
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

Portrait Expression Editing With Mobile Photo Sequence.
Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023

Resource-Efficient and Privacy-Preserving Edge for Augmented Reality.
Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023

Toward Scalable and Controllable AR Experimentation.
Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems, 2023

Carbon-Efficient Neural Architecture Search.
Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

Layercake: Efficient Inference Serving with Cloud and Mobile Resources.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research.
IEEE Netw., 2022

LITAR: Visually Coherent Lighting for Mobile Augmented Reality.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Power-efficient live virtual reality streaming using edge offloading.
Proceedings of the 32nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2022

Privacy-preserving Reflection Rendering for Augmented Reality.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-objective Optimization by Learning Space Partition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Multi-objective Optimization by Learning Space Partitions.
CoRR, 2021

Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage.
CoRR, 2021

PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Xihe: a 3D vision-based lighting estimation framework for mobile augmented reality.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

Few-Shot Neural Architecture Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Memory-Efficient Deep Learning Inference in Trusted Execution Environments.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021

On the Future of Cloud Engineering.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Many Models at the Edge: Scaling Deep Inference via Model-Level Caching.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels.
SIGMETRICS Perform. Evaluation Rev., 2020

QuRate: power-efficient mobile immersive video streaming.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Recurrent Networks for Guided Multi-Attention Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

PERSEUS: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

PointAR: Efficient Lighting Estimation for Mobile Augmented Reality.
Proceedings of the Computer Vision - ECCV 2020, 2020

EPNet: Learning to Exit with Flexible Multi-Branch Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
An Experimental Evaluation of Garbage Collectors on Big Data Applications.
Proc. VLDB Endow., 2019

Characterizing the Deep Neural Networks Inference Performance of Mobile Applications.
CoRR, 2019

ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference.
CoRR, 2019

Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices.
CoRR, 2019

CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling.
CoRR, 2019

Challenges and Opportunities of DNN Model Execution Caching.
Proceedings of the DIDL '19: Proceedings of the Workshop on Distributed Infrastructures for Deep Learning, 2019

Speeding up Deep Learning with Transient Servers.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Virtual reality streaming at the edge: a power perspective: poster.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

EdgeServe: efficient deep learning model caching at the edge.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
Managing Risk in a Derivative IaaS Cloud.
IEEE Trans. Parallel Distributed Syst., 2018

Providing Geo-Elasticity in Geographically Distributed Clouds.
ACM Trans. Internet Techn., 2018

Performance and Cost Considerations for Providing Geo-Elasticity in Database Clouds.
ACM Trans. Auton. Adapt. Syst., 2018

Latency-aware virtual desktops optimization in distributed clouds.
Multim. Syst., 2018

Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference.
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

MODI: Mobile Deep Inference Made Efficient by Edge Computing.
Proceedings of the USENIX Workshop on Hot Topics in Edge Computing, 2018

2017
On the feasibility of cloud-based SDN controllers for residential networks.
Proceedings of the 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2017

2016
Analyzing the Efficiency of a Green University Data Center.
Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

GeoScale: Providing Geo-Elasticity in Distributed Clouds.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Placement Strategies for Virtualized Network Functions in a NFaaS Cloud.
Proceedings of the Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies, 2016

Flint: batch-interactive data-intensive processing on transient servers.
Proceedings of the Eleventh European Conference on Computer Systems, 2016

2015
Model-Driven Geo-Elasticity in Database Clouds.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

SpotCheck: designing a derivative IaaS cloud on the spot market.
Proceedings of the Tenth European Conference on Computer Systems, 2015

SpotOn: a batch computing service for the spot market.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014
Cost-Aware Cloud Bursting for Enterprise Applications.
ACM Trans. Internet Techn., 2014

VMShadow: optimizing the performance of latency-sensitive virtual desktops in distributed clouds.
Proceedings of the Multimedia Systems Conference 2014, 2014

2013
VMShadow: optimizing the performance of virtual desktops in distributed clouds.
Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

2012
Seagull: Intelligent Cloud Bursting for Enterprise Applications.
Proceedings of the 2012 USENIX Annual Technical Conference, 2012


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