Seagull: Intelligent Cloud Bursting for Enterprise Applications. - Tian Guo 001; Upendra Sharma; Timothy Wood 001; Sambit Sahu; Prashant J. Shenoy (USENIX ATC, 2012)

VMShadow: optimizing the performance of virtual desktops in distributed clouds. - Tian Guo 001; Vijay Gopalakrishnan; K. K. Ramakrishnan; Prashant J. Shenoy; Arun Venkataramani; Seungjoon Lee (SoCC, 2013)

VMShadow: optimizing the performance of latency-sensitive virtual desktops in distributed clouds. - Tian Guo 001; Vijay Gopalakrishnan; K. K. Ramakrishnan; Prashant J. Shenoy; Arun Venkataramani; Seungjoon Lee (MMSys, 2014)

Cost-Aware Cloud Bursting for Enterprise Applications. - Tian Guo 001; Upendra Sharma; Prashant J. Shenoy; Timothy Wood 001; Sambit Sahu (ACM Trans. Internet Techn., 2014)

SpotOn: a batch computing service for the spot market. - Supreeth Subramanya; Tian Guo 001; Prateek Sharma; David E. Irwin 001; Prashant J. Shenoy (SoCC, 2015)

SpotCheck: designing a derivative IaaS cloud on the spot market. - Prateek Sharma; Stephen Lee; Tian Guo 001; David E. Irwin 001; Prashant J. Shenoy (EuroSys, 2015)

Model-Driven Geo-Elasticity in Database Clouds. - Tian Guo 001; Prashant J. Shenoy (ICAC, 2015)

Flint: batch-interactive data-intensive processing on transient servers. - Prateek Sharma; Tian Guo 001; Xin He; David E. Irwin 001; Prashant J. Shenoy (EuroSys, 2016)

Placement Strategies for Virtualized Network Functions in a NFaaS Cloud. - Xin He; Tian Guo 001; Erich M. Nahum; Prashant J. Shenoy (HotWeb, 2016)

GeoScale: Providing Geo-Elasticity in Distributed Clouds. - Tian Guo 001; Prashant J. Shenoy; Hakan Hacigümüs (IC2E, 2016)

Analyzing the Efficiency of a Green University Data Center. - Patrick Pegus II; Benoy Varghese; Tian Guo 001; David E. Irwin 001; Prashant J. Shenoy; Anirban Mahanti; James Culbert; John Goodhue; Chris Hill (ICPE, 2016)

On the feasibility of cloud-based SDN controllers for residential networks. - Curtis R. Taylor; Tian Guo 001; Craig A. Shue; Mohamed E. Najd (NFV-SDN, 2017)

MODI: Mobile Deep Inference Made Efficient by Edge Computing. - Samuel S. Ogden; Tian Guo 001 (HotEdge, 2018)

Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference. - Tian Guo 001 (IC2E, 2018)

Latency-aware virtual desktops optimization in distributed clouds. - Tian Guo 001; Prashant J. Shenoy; K. K. Ramakrishnan; Vijay Gopalakrishnan (Multim. Syst., 2018)

Performance and Cost Considerations for Providing Geo-Elasticity in Database Clouds. - Tian Guo 001; Prashant J. Shenoy (ACM Trans. Auton. Adapt. Syst., 2018)

Providing Geo-Elasticity in Geographically Distributed Clouds. - Tian Guo 001; Prashant J. Shenoy (ACM Trans. Internet Techn., 2018)

Managing Risk in a Derivative IaaS Cloud. - Prateek Sharma; Stephen Lee; Tian Guo 001; David E. Irwin 001; Prashant J. Shenoy (IEEE Trans. Parallel Distributed Syst., 2018)

EdgeServe: efficient deep learning model caching at the edge. - Tian Guo 001; Robert J. Walls; Samuel S. Ogden (SEC, 2019)

Virtual reality streaming at the edge: a power perspective: poster. - Zichen Zhu; Nan Jiang 020; Tian Guo 001; Sheng Wei 001 (SEC, 2019)

Speeding up Deep Learning with Transient Servers. - Shijian Li; Robert J. Walls; Lijie Xu; Tian Guo 001 (ICAC, 2019)

Challenges and Opportunities of DNN Model Execution Caching. - Guin Gilman; Samuel S. Ogden; Robert J. Walls; Tian Guo 001 (DIDL@Middleware, 2019)

CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. - Samuel S. Ogden; Tian Guo 001 (CoRR, 2019)

Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices. - Peter M. VanNostrand; Ioannis Kyriazis; Michelle Cheng; Tian Guo 001; Robert J. Walls (CoRR, 2019)

ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. - Samuel S. Ogden; Tian Guo 001 (CoRR, 2019)

Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. - Samuel S. Ogden; Tian Guo 001 (CoRR, 2019)

An Experimental Evaluation of Garbage Collectors on Big Data Applications. - Lijie Xu; Tian Guo 001; Wensheng Dou; Wei Wang 049; Jun Wei 001 (Proc. VLDB Endow., 2019)

EPNet: Learning to Exit with Flexible Multi-Branch Network. - Xin Dai; Xiangnan Kong; Tian Guo 001 (CIKM, 2020)

PointAR: Efficient Lighting Estimation for Mobile Augmented Reality. - Yiqin Zhao; Tian Guo 001 (ECCV (23), 2020)

PERSEUS: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. - Matthew LeMay; Shijian Li; Tian Guo 001 (IC2E, 2020)

MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. - Samuel S. Ogden; Tian Guo 001 (IC2E, 2020)

Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. - Shijian Li; Robert J. Walls; Tian Guo 001 (ICDCS, 2020)

DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms. - Lijie Xu; Xingtong Ye; Kai Kang; Tian Guo 001; Wensheng Dou; Wei Wang 049; Jun Wei 001 (ICDCS, 2020)

Recurrent Networks for Guided Multi-Attention Classification. - Xin Dai; Xiangnan Kong; Tian Guo 001; John Boaz Lee; Xinyue Liu 003; Constance M. Moore (KDD, 2020)

Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding. - Yunzhuo Liu; Bo Jiang 003; Tian Guo 001; Ramesh K. Sitaraman; Don Towsley; Xinbing Wang (ACM Multimedia, 2020)

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation. - Zhongze Tang; Xianglong Feng; Yi Xie 001; Huy Phan; Tian Guo 001; Bo Yuan 001; Sheng Wei 001 (ACM Multimedia, 2020)

QuRate: power-efficient mobile immersive video streaming. - Nan Jiang 020; Yao Liu 001; Tian Guo 001; Wenyao Xu; Viswanathan Swaminathan 001; Lisong Xu; Sheng Wei 001 (MMSys, 2020)

Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels. - Guin Gilman; Samuel S. Ogden; Tian Guo 001; Robert J. Walls (SIGMETRICS Perform. Evaluation Rev., 2020)

Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. - Samuel S. Ogden; Guin Gilman; Robert J. Walls; Tian Guo 001 (ACSOS, 2021)

FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. - Xin Dai; Xiangnan Kong; Tian Guo 001; Xinlu He (CIKM, 2021)

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. - Noman Bashir; Tian Guo 001; Mohammad H. Hajiesmaili; David E. Irwin 001; Prashant J. Shenoy; Ramesh K. Sitaraman; Abel Souza; Adam Wierman (SoCC, 2021)

On the Future of Cloud Engineering. - David Bermbach; Abhishek Chandra; Chandra Krintz; Aniruddha Gokhale; Aleksander Slominski; Lauritz Thamsen; Everton Cavalcante; Tian Guo 001; Ivona Brandic; Rich Wolski (IC2E, 2021)

Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. - Nicholas Krichevsky; Renee St Louis; Tian Guo 001 (IC2E, 2021)

Memory-Efficient Deep Learning Inference in Trusted Execution Environments. - Jean-Baptiste Truong; William Gallagher; Tian Guo 001; Robert J. Walls (IC2E, 2021)

Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. - Shijian Li; Oren Mangoubi; Lijie Xu; Tian Guo 001 (ICDCS, 2021)

Few-Shot Neural Architecture Search. - Yiyang Zhao; Linnan Wang; Yuandong Tian; Rodrigo Fonseca; Tian Guo 001 (ICML, 2021)

Xihe: a 3D vision-based lighting estimation framework for mobile augmented reality. - Yiqin Zhao; Tian Guo 001 (MobiSys, 2021)

CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. - Xin Dai; Xiangnan Kong; Tian Guo 001; Yixian Huang (SDM, 2021)

PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference. - Samuel S. Ogden; Xiangnan Kong; Tian Guo 001 (ICPE, 2021)

Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. - Nicholas Krichevsky; Matthew St Louis; Tian Guo 001 (CoRR, 2021)

Multi-objective Optimization by Learning Space Partitions. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (CoRR, 2021)

FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models. - Yunzhuo Liu; Bo Jiang 003; Tian Guo 001; Zimeng Huang; Wenhao Ma; Xinbing Wang; Chenghu Zhou (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Multi-objective Optimization by Learning Space Partition. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (ICLR, 2022)

Privacy-preserving Reflection Rendering for Augmented Reality. - Yiqin Zhao; Sheng Wei 001; Tian Guo 001 (ACM Multimedia, 2022)

Power-efficient live virtual reality streaming using edge offloading. - Zichen Zhu; Xianglong Feng; Zhongze Tang; Nan Jiang 020; Tian Guo 001; Lisong Xu; Sheng Wei 001 (NOSSDAV, 2022)

FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering. - Yiqin Zhao; Tian Guo 001 (VR Workshops, 2022)

LITAR: Visually Coherent Lighting for Mobile Augmented Reality. - Yiqin Zhao; Chongyang Ma; Haibin Huang; Tian Guo 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research. - Bo Han 001; Jiasi Chen; Tian Guo 001; Sung-Ju Lee; Viswanathan Swaminathan 001; Stylianos I. Venieris (IEEE Netw., 2022)

Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. - Zimeng Huang; Bo Jiang 003; Tian Guo 001; Yunzhuo Liu (CCGrid, 2023)

Layercake: Efficient Inference Serving with Cloud and Mobile Resources. - Samuel S. Ogden; Tian Guo 001 (CCGrid, 2023)

Carbon-Efficient Neural Architecture Search. - Yiyang Zhao; Tian Guo 001 (HotCarbon, 2023)

Toward Scalable and Controllable AR Experimentation. - Ashkan Ganj; Yiqin Zhao; Federico Galbiati; Tian Guo 001 (ImmerCom, 2023)

Resource-Efficient and Privacy-Preserving Edge for Augmented Reality. - Tian Guo 001 (EMS@SIGCOMM, 2023)

Portrait Expression Editing With Mobile Photo Sequence. - Yiqin Zhao; Rohit Pandey; Yinda Zhang 001; Ruofei Du; Feitong Tan; Chetan Ramaiah; Tian Guo 001; Sean Fanello (SIGGRAPH Asia Technical Communications, 2023)

Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. - Yiqin Zhao; Sean Fanello; Tian Guo 001 (HotMobile, 2023)

Opportunities of Renewable Energy Powered DNN Inference. - Seyed Morteza Nabavinejad; Tian Guo 001 (CoRR, 2023)

Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding. - Yiqin Zhao; Ashkan Ganj; Tian Guo 001 (CoRR, 2023)

Mobile AR Depth Estimation: Challenges & Prospects - Extended Version. - Ashkan Ganj; Yiqin Zhao; Hang Su 005; Tian Guo 001 (CoRR, 2023)

MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs. - Seyed Morteza Nabavinejad; Sherief Reda; Tian Guo 001 (CLOUD, 2024)

FairCIM: Fair Interference Mitigation by DNN Switching for Latency-Sensitive Inference Jobs. - Seyed Morteza Nabavinejad; Sherief Reda; Tian Guo 001 (ACSOS, 2024)

Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (ISMAR-Adjunct, 2024)

Towards In-context Environment Sensing for Mobile Augmented Reality. - Yiqin Zhao; Ashkan Ganj; Tian Guo 001 (MobiCom, 2024)

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework. - Yiyang Zhao; Yunzhuo Liu; Bo Jiang 003; Tian Guo 001 (NeurIPS, 2024)

Mobile AR Depth Estimation: Challenges & Prospects. - Ashkan Ganj; Yiqin Zhao; Hang Su 005; Tian Guo 001 (HotMobile, 2024)

Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow. - Yiqin Zhao; Tian Guo 001 (HotMobile, 2024)

HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (CoRR, 2024)

Scoping Sustainable Collaborative Mixed Reality. - Yasra Chandio; Noman Bashir; Tian Guo 001; Elsa Olivetti; Fatima M. Anwar 001 (CoRR, 2024)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions. - Yiyang Zhao; Linnan Wang; Tian Guo 001 (J. Mach. Learn. Res., 2024)

Multi-Camera Lighting Estimation for Mobile Augmented Reality. - Yiqin Zhao; Sean Fanello; Tian Guo 001 (GetMobile Mob. Comput. Commun., 2024)

HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (WACV, 2025)

BridgeGC: An Efficient Cross-Level Garbage Collector for Big Data Frameworks. - Yicheng Wang; Lijie Xu; Tian Guo 001; Wensheng Dou; Hongbin Zeng; Wei Wang 049; Jun Wei 001; Tao Huang 001 (ACM Trans. Archit. Code Optim., 2025)

AR as an Evaluation Playground: Bridging Metrics and Visual Perception of Computer Vision Models. - Ashkan Ganj; Yiqin Zhao; Tian Guo 001 (CoRR, 2025)

CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality. - Yiqin Zhao; Mallesham Dasari; Tian Guo 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)