Tian Guo

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 75

Top Topics

Video Streaming

Neural Architecture

Top Venues

Publications

Yiqin Zhao, Tian Guo
Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow. HotMobile (2024)
Yiyang Zhao, Linnan Wang, Tian Guo
Multi-objective Neural Architecture Search by Learning Search Space Partitions. CoRR (2024)
Ashkan Ganj, Hang Su, Tian Guo
HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors. CoRR (2024)
Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework. CoRR (2024)
Ashkan Ganj, Yiqin Zhao, Hang Su, Tian Guo
Mobile AR Depth Estimation: Challenges & Prospects. HotMobile (2024)
Yiqin Zhao, Sean Fanello, Tian Guo
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. CoRR (2023)
Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu
Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. CCGrid (2023)
Ashkan Ganj, Yiqin Zhao, Hang Su, Tian Guo
Mobile AR Depth Estimation: Challenges & Prospects - Extended Version. CoRR (2023)
Samuel S. Ogden, Tian Guo
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid (2023)
Yiyang Zhao, Tian Guo
Carbon-Efficient Neural Architecture Search. HotCarbon (2023)
Yiyang Zhao, Tian Guo
Carbon-Efficient Neural Architecture Search. CoRR (2023)
Yiqin Zhao, Ashkan Ganj, Tian Guo
Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding. CoRR (2023)
Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models. SIGMETRICS (Abstracts) (2023)
Yiqin Zhao, Sean Fanello, Tian Guo
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. HotMobile (2023)
Yiqin Zhao, Rohit Pandey, Yinda Zhang, Ruofei Du, Feitong Tan, Chetan Ramaiah, Tian Guo, Sean Fanello
Portrait Expression Editing With Mobile Photo Sequence. SIGGRAPH Asia Technical Communications (2023)
Ashkan Ganj, Yiqin Zhao, Federico Galbiati, Tian Guo
Toward Scalable and Controllable AR Experimentation. CoRR (2023)
Ashkan Ganj, Yiqin Zhao, Federico Galbiati, Tian Guo
Toward Scalable and Controllable AR Experimentation. ImmerCom (2023)
Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models. CoRR (2022)
Yiqin Zhao, Sheng Wei, Tian Guo
Privacy-preserving Reflection Rendering for Augmented Reality. CoRR (2022)
Yiqin Zhao, Tian Guo
FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering. VR Workshops (2022)
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
Multi-objective Optimization by Learning Space Partition. ICLR (2022)
Yiqin Zhao, Sheng Wei, Tian Guo
Privacy-preserving Reflection Rendering for Augmented Reality. ACM Multimedia (2022)
Ziehen Zhu, Xianglong Feng, Zhongze Tang, Nan Jiang, Tian Guo, Lisong Xu, Sheng Wei
Power-efficient live virtual reality streaming using edge offloading. NOSSDAV (2022)
Bo Han, Jiasi Chen, Tian Guo, Sung-Ju Lee, Viswanathan Swaminathan, Stylianos I. Venieris
Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research. IEEE Netw. 36 (1) (2022)
Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)
Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. IC2E (2021)
Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. SoCC (2021)
Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. CoRR (2021)
Samuel S. Ogden, Xiangnan Kong, Tian Guo
PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference. ICPE (2021)
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
On the Future of Cloud Engineering. IC2E (2021)
Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. CoRR (2021)
Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang
CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. SDM (2021)
Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. ACSOS (2021)
Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo
Few-Shot Neural Architecture Search. ICML (2021)
Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. CoRR (2021)
David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski
On the Future of Cloud Engineering. CoRR (2021)
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian
Multi-objective Optimization by Learning Space Partitions. CoRR (2021)
Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. CIKM (2021)
Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. ICDCS (2021)
Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo
Few-shot Neural Architecture Search. CoRR (2020)
Samuel S. Ogden, Tian Guo
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications. CoRR (2020)
Lijie Xu, Xingtong Ye, Kai Kang, Tian Guo, Wensheng Dou, Wei Wang, Jun Wei
DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms. ICDCS (2020)
Shijian Li, Robert J. Walls, Tian Guo
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. ICDCS (2020)
Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore
Recurrent Networks for Guided Multi-Attention Classification. KDD (2020)
Xin Dai, Xiangnan Kong, Tian Guo
EPNet: Learning to Exit with Flexible Multi-Branch Network. CIKM (2020)
Samuel S. Ogden, Tian Guo
MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. IC2E (2020)
Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh K. Sitaraman, Don Towsley, Xinbing Wang
Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding. ACM Multimedia (2020)
Guin Gilman, Samuel S. Ogden, Tian Guo, Robert J. Walls
Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Shijian Li, Robert J. Walls, Tian Guo
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. CoRR (2020)
Zhongze Tang, Xianglong Feng, Yi Xie, Huy Phan, Tian Guo, Bo Yuan, Sheng Wei
VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation. ACM Multimedia (2020)
Nan Jiang, Yao Liu, Tian Guo, Wenyao Xu, Viswanathan Swaminathan, Lisong Xu, Sheng Wei
QuRate: power-efficient mobile immersive video streaming. MMSys (2020)
Matthew LeMay, Shijian Li, Tian Guo
PERSEUS: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. IC2E (2020)
Samuel S. Ogden, Tian Guo
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. CoRR (2019)
Lijie Xu, Tian Guo, Wensheng Dou, Wei Wang, Jun Wei
An Experimental Evaluation of Garbage Collectors on Big Data Applications. Proc. VLDB Endow. 12 (5) (2019)
Samuel S. Ogden, Tian Guo
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. CoRR (2019)
Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo
Challenges and Opportunities of DNN Model Execution Caching. DIDL@Middleware (2019)
Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo
Speeding up Deep Learning with Transient Servers. ICAC (2019)
Matthew LeMay, Shijian Li, Tian Guo
Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. CoRR (2019)
Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo
Speeding up Deep Learning with Transient Servers. CoRR (2019)
Samuel S. Ogden, Tian Guo
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. CoRR (2019)
Peter M. VanNostrand, Ioannis Kyriazis, Michelle Cheng, Tian Guo, Robert J. Walls
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices. CoRR (2019)
Ziehen Zhu, Nan Jiang, Tian Guo, Sheng Wei
Virtual reality streaming at the edge: a power perspective: poster. SEC (2019)
Tian Guo, Robert J. Walls, Samuel S. Ogden
EdgeServe: efficient deep learning model caching at the edge. SEC (2019)
Prateek Sharma, Stephen Lee, Tian Guo, David E. Irwin, Prashant J. Shenoy
Managing Risk in a Derivative IaaS Cloud. IEEE Trans. Parallel Distributed Syst. 29 (8) (2018)
Samuel S. Ogden, Tian Guo
MODI: Mobile Deep Inference Made Efficient by Edge Computing. HotEdge (2018)
Tian Guo, Prashant J. Shenoy
Providing Geo-Elasticity in Geographically Distributed Clouds. ACM Trans. Internet Techn. 18 (3) (2018)
Tian Guo, Prashant J. Shenoy, K. K. Ramakrishnan, Vijay Gopalakrishnan
Latency-aware virtual desktops optimization in distributed clouds. Multim. Syst. 24 (1) (2018)
Tian Guo
Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference. IC2E (2018)
Tian Guo, Prashant J. Shenoy
Performance and Cost Considerations for Providing Geo-Elasticity in Database Clouds. ACM Trans. Auton. Adapt. Syst. 12 (4) (2018)
Curtis R. Taylor, Tian Guo, Craig A. Shue, Mohamed E. Najd
On the feasibility of cloud-based SDN controllers for residential networks. NFV-SDN (2017)
Tian Guo
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference. CoRR (2017)
Tian Guo, Prashant J. Shenoy, Hakan Hacigümüs
GeoScale: Providing Geo-Elasticity in Distributed Clouds. IC2E (2016)
Prateek Sharma, Tian Guo, Xin He, David E. Irwin, Prashant J. Shenoy
Flint: batch-interactive data-intensive processing on transient servers. EuroSys (2016)
Patrick Pegus II, Benoy Varghese, Tian Guo, David E. Irwin, Prashant J. Shenoy, Anirban Mahanti, James Culbert, John Goodhue, Chris Hill
Analyzing the Efficiency of a Green University Data Center. ICPE (2016)
Xin He, Tian Guo, Erich M. Nahum, Prashant J. Shenoy
Placement Strategies for Virtualized Network Functions in a NFaaS Cloud. HotWeb (2016)
Tian Guo, Prashant J. Shenoy
Model-Driven Geo-Elasticity in Database Clouds. ICAC (2015)
Supreeth Subramanya, Tian Guo, Prateek Sharma, David E. Irwin, Prashant J. Shenoy
SpotOn: a batch computing service for the spot market. SoCC (2015)
Prateek Sharma, Stephen Lee, Tian Guo, David E. Irwin, Prashant J. Shenoy
SpotCheck: designing a derivative IaaS cloud on the spot market. EuroSys (2015)
Tian Guo, Upendra Sharma, Prashant J. Shenoy, Timothy Wood, Sambit Sahu
Cost-Aware Cloud Bursting for Enterprise Applications. ACM Trans. Internet Techn. 13 (3) (2014)
Tian Guo, Vijay Gopalakrishnan, K. K. Ramakrishnan, Prashant J. Shenoy, Arun Venkataramani, Seungjoon Lee
VMShadow: optimizing the performance of latency-sensitive virtual desktops in distributed clouds. MMSys (2014)
Tian Guo, Vijay Gopalakrishnan, K. K. Ramakrishnan, Prashant J. Shenoy, Arun Venkataramani, Seungjoon Lee
VMShadow: optimizing the performance of virtual desktops in distributed clouds. SoCC (2013)
Tian Guo, Upendra Sharma, Timothy Wood, Sambit Sahu, Prashant J. Shenoy
Seagull: Intelligent Cloud Bursting for Enterprise Applications. USENIX Annual Technical Conference (2012)