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ORCIDTian Guo 0001
Person information
- affiliation: Worcester Polytechnic Institute, Worcester, MA, USA
- affiliation (PhD): University of Massachusetts Amherst, MA, USA
Other persons with the same name
- Tian Guo — disambiguation page
- Tian Guo 0002 — EPFL, Lausanne, Switzerland (and 1 more)
- Tian Guo 0003 — Wuhan University of Science and Technology, Wuhan, China
- Tian Guo 0004 — Beijing University of Posts and Telecommunications, China
- Tian Guo 0005 — Southwest University, Chongqing, China
- Tian Guo 0006
![[0000-0002-7647-3600]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7647-3600")
— Hanyang University, Department of Electrical Engineering, Ansan, South Korea (and 1 more) - Tian Guo 0007 — Purdue University, National Soil Erosion Research Laboratory, West Lafayette, IN, USA (and 1 more)
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2020 – today
- 2024
[j12]Yiyang Zhao, Linnan Wang, Tian Guo:
Multi-Objective Neural Architecture Search by Learning Search Space Partitions. J. Mach. Learn. Res. 25: 177:1-177:41 (2024)- [j11]Yiqin Zhao, Sean Fanello, Tian Guo:
Multi-Camera Lighting Estimation for Mobile Augmented Reality. GetMobile Mob. Comput. Commun. 28(3): 25-29 (2024) - [c53]Ashkan Ganj, Hang Su, Tian Guo:
Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors. ISMAR-Adjunct 2024: 517-520 - [c52]Ashkan Ganj, Yiqin Zhao, Hang Su, Tian Guo:
Mobile AR Depth Estimation: Challenges & Prospects. HotMobile 2024: 21-26 - [c51]Yiqin Zhao, Tian Guo:
Demo: ARFlow: A Framework for Simplifying AR Experimentation Workflow. HotMobile 2024: 154 - [i31]Yiyang Zhao, Linnan Wang, Tian Guo:
Multi-objective Neural Architecture Search by Learning Search Space Partitions. CoRR abs/2406.00291 (2024) - [i30]Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo:
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework. CoRR abs/2406.01414 (2024) - [i29]Ashkan Ganj, Hang Su, Tian Guo:
HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors. CoRR abs/2407.18443 (2024) - [i28]Yasra Chandio, Noman Bashir, Tian Guo, Elsa Olivetti, Fatima M. Anwar:
Scoping Sustainable Collaborative Mixed Reality. CoRR abs/2409.07640 (2024) - 2023
- [c50]Samuel S. Ogden, Tian Guo:
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid 2023: 191-202 - [c49]Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu:
Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. CCGrid 2023: 344-354 - [c48]Yiyang Zhao, Tian Guo:
Carbon-Efficient Neural Architecture Search. HotCarbon 2023: 12:1-12:7 - [c47]Ashkan Ganj, Yiqin Zhao, Federico Galbiati, Tian Guo:
Toward Scalable and Controllable AR Experimentation. ImmerCom 2023: 237-246 - [c46]Tian Guo:
Resource-Efficient and Privacy-Preserving Edge for Augmented Reality. EMS@SIGCOMM 2023: 22-27 - [c45]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: 17:1-17:4 - [c44]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: 35-36 - [c43]Yiqin Zhao, Sean Fanello, Tian Guo:
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. HotMobile 2023: 68-73 - [i27]Yiqin Zhao, Sean Fanello, Tian Guo:
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality. CoRR abs/2301.06143 (2023) - [i26]Yiqin Zhao, Chongyang Ma, Haibin Huang, Tian Guo:
LitAR: Visually Coherent Lighting for Mobile Augmented Reality. CoRR abs/2301.06184 (2023) - [i25]Seyed Morteza Nabavinejad, Tian Guo:
Opportunities of Renewable Energy Powered DNN Inference. CoRR abs/2306.12247 (2023) - [i24]Yiyang Zhao, Tian Guo:
Carbon-Efficient Neural Architecture Search. CoRR abs/2307.04131 (2023) - [i23]Ashkan Ganj, Yiqin Zhao, Federico Galbiati, Tian Guo:
Toward Scalable and Controllable AR Experimentation. CoRR abs/2307.08587 (2023) - [i22]Yiqin Zhao, Ashkan Ganj, Tian Guo:
Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding. CoRR abs/2310.10821 (2023) - [i21]Ashkan Ganj, Yiqin Zhao, Hang Su, Tian Guo:
Mobile AR Depth Estimation: Challenges & Prospects - Extended Version. CoRR abs/2310.14437 (2023) - 2022
- [j10]Yiqin Zhao, Chongyang Ma, Haibin Huang, Tian Guo:
LITAR: Visually Coherent Lighting for Mobile Augmented Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 153:1-153:29 (2022) - [j9]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): 8-9 (2022) - [c42]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partition. ICLR 2022 - [c41]Yiqin Zhao, Sheng Wei, Tian Guo:
Privacy-preserving Reflection Rendering for Augmented Reality. ACM Multimedia 2022: 2909-2918 - [c40]Zichen Zhu, Xianglong Feng, Zhongze Tang, Nan Jiang, Tian Guo, Lisong Xu, Sheng Wei:
Power-efficient live virtual reality streaming using edge offloading. NOSSDAV 2022: 57-63 - [c39]Yiqin Zhao, Tian Guo:
FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering. VR Workshops 2022: 572-573 - [i20]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 abs/2204.13561 (2022) - [i19]Yiqin Zhao, Sheng Wei, Tian Guo:
Privacy-preserving Reflection Rendering for Augmented Reality. CoRR abs/2207.03056 (2022) - 2021
- [j8]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): 47:1-47:30 (2021) - [c38]Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo:
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. ACSOS 2021: 51-60 - [c37]Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He:
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. CIKM 2021: 322-331 - [c36]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: 350-358 - [c35]Nicholas Krichevsky, Renee St Louis, Tian Guo:
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. IC2E 2021: 99-109 - [c34]Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls:
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. IC2E 2021: 161-167 - [c33]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: 264-275 - [c32]Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo:
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. ICDCS 2021: 528-538 - [c31]Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo:
Few-Shot Neural Architecture Search. ICML 2021: 12707-12718 - [c30]Yiqin Zhao, Tian Guo:
Xihe: a 3D vision-based lighting estimation framework for mobile augmented reality. MobiSys 2021: 28-40 - [c29]Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang:
CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. SDM 2021: 459-467 - [c28]Samuel S. Ogden, Xiangnan Kong, Tian Guo:
PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference. ICPE 2021: 249-256 - [i18]Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo:
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning. CoRR abs/2104.08364 (2021) - [i17]Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls:
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. CoRR abs/2104.15109 (2021) - [i16]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 abs/2106.08872 (2021) - [i15]Yiqin Zhao, Tian Guo:
Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality. CoRR abs/2106.15280 (2021) - [i14]Nicholas Krichevsky, Matthew St Louis, Tian Guo:
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. CoRR abs/2108.06322 (2021) - [i13]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 abs/2108.08685 (2021) - [i12]Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian:
Multi-objective Optimization by Learning Space Partitions. CoRR abs/2110.03173 (2021) - 2020
- [j7]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): 81-88 (2020) - [c27]Xin Dai, Xiangnan Kong, Tian Guo:
EPNet: Learning to Exit with Flexible Multi-Branch Network. CIKM 2020: 235-244 - [c26]Yiqin Zhao, Tian Guo:
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality. ECCV (23) 2020: 678-693 - [c25]Samuel S. Ogden, Tian Guo:
MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. IC2E 2020: 28-39 - [c24]Matthew LeMay, Shijian Li, Tian Guo:
PERSEUS: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. IC2E 2020: 66-72 - [c23]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: 842-852 - [c22]Shijian Li, Robert J. Walls, Tian Guo:
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. ICDCS 2020: 943-953 - [c21]Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore:
Recurrent Networks for Guided Multi-Attention Classification. KDD 2020: 412-420 - [c20]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: 349-357 - [c19]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: 3614-3623 - [c18]Nan Jiang, Yao Liu, Tian Guo, Wenyao Xu, Viswanathan Swaminathan, Lisong Xu, Sheng Wei:
QuRate: power-efficient mobile immersive video streaming. MMSys 2020: 99-111 - [i11]Samuel S. Ogden, Tian Guo:
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications. CoRR abs/2002.06603 (2020) - [i10]Yiqin Zhao, Tian Guo:
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality. CoRR abs/2004.00006 (2020) - [i9]Shijian Li, Robert J. Walls, Tian Guo:
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. CoRR abs/2004.03072 (2020) - [i8]Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo:
Few-shot Neural Architecture Search. CoRR abs/2006.06863 (2020)
2010 – 2019
- 2019
- [j6]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): 570-583 (2019) - [c17]Tian Guo, Robert J. Walls, Samuel S. Ogden:
EdgeServe: efficient deep learning model caching at the edge. SEC 2019: 313-315 - [c16]Zichen Zhu, Nan Jiang, Tian Guo, Sheng Wei:
Virtual reality streaming at the edge: a power perspective: poster. SEC 2019: 316-318 - [c15]Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo:
Speeding up Deep Learning with Transient Servers. ICAC 2019: 125-135 - [c14]Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo:
Challenges and Opportunities of DNN Model Execution Caching. DIDL@Middleware 2019: 7-12 - [i7]Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo:
Speeding up Deep Learning with Transient Servers. CoRR abs/1903.00045 (2019) - [i6]Samuel S. Ogden, Tian Guo:
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. CoRR abs/1907.02162 (2019) - [i5]Peter M. VanNostrand, Ioannis Kyriazis, Michelle Cheng, Tian Guo, Robert J. Walls:
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices. CoRR abs/1908.10730 (2019) - [i4]Samuel S. Ogden, Tian Guo:
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. CoRR abs/1909.02053 (2019) - [i3]Samuel S. Ogden, Tian Guo:
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. CoRR abs/1909.04783 (2019) - [i2]Matthew LeMay, Shijian Li, Tian Guo:
Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models. CoRR abs/1912.02322 (2019) - 2018
- [j5]Tian Guo, Prashant J. Shenoy, K. K. Ramakrishnan, Vijay Gopalakrishnan:
Latency-aware virtual desktops optimization in distributed clouds. Multim. Syst. 24(1): 73-94 (2018) - [j4]Tian Guo, Prashant J. Shenoy:
Performance and Cost Considerations for Providing Geo-Elasticity in Database Clouds. ACM Trans. Auton. Adapt. Syst. 12(4): 19:1-19:32 (2018) - [j3]Tian Guo, Prashant J. Shenoy:
Providing Geo-Elasticity in Geographically Distributed Clouds. ACM Trans. Internet Techn. 18(3): 38:1-38:27 (2018) - [j2]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): 1750-1765 (2018) - [c13]Samuel S. Ogden, Tian Guo:
MODI: Mobile Deep Inference Made Efficient by Edge Computing. HotEdge 2018 - [c12]Tian Guo:
Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference. IC2E 2018: 184-190 - [e1]Abhishek Chandra, Jie Li, Ying Cai, Tian Guo:
2018 IEEE International Conference on Cloud Engineering, IC2E 2018, Orlando, FL, USA, April 17-20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5008-0 [contents] - 2017
- [c11]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: 1-6 - [i1]Tian Guo:
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference. CoRR abs/1707.04610 (2017) - 2016
- [c10]Prateek Sharma, Tian Guo, Xin He, David E. Irwin, Prashant J. Shenoy:
Flint: batch-interactive data-intensive processing on transient servers. EuroSys 2016: 6:1-6:15 - [c9]Xin He, Tian Guo, Erich M. Nahum, Prashant J. Shenoy:
Placement Strategies for Virtualized Network Functions in a NFaaS Cloud. HotWeb 2016: 48-53 - [c8]Tian Guo, Prashant J. Shenoy, Hakan Hacigümüs:
GeoScale: Providing Geo-Elasticity in Distributed Clouds. IC2E 2016: 123-126 - [c7]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: 63-73 - 2015
- [c6]Supreeth Subramanya, Tian Guo, Prateek Sharma, David E. Irwin, Prashant J. Shenoy:
SpotOn: a batch computing service for the spot market. SoCC 2015: 329-341 - [c5]Prateek Sharma, Stephen Lee, Tian Guo, David E. Irwin, Prashant J. Shenoy:
SpotCheck: designing a derivative IaaS cloud on the spot market. EuroSys 2015: 16:1-16:15 - [c4]Tian Guo, Prashant J. Shenoy:
Model-Driven Geo-Elasticity in Database Clouds. ICAC 2015: 61-70 - 2014
- [j1]Tian Guo, Upendra Sharma, Prashant J. Shenoy, Timothy Wood, Sambit Sahu:
Cost-Aware Cloud Bursting for Enterprise Applications. ACM Trans. Internet Techn. 13(3): 10:1-10:24 (2014) - [c3]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: 103-114 - 2013
- [c2]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: 42:1-42:2 - 2012
- [c1]Tian Guo, Upendra Sharma, Timothy Wood, Sambit Sahu, Prashant J. Shenoy:
Seagull: Intelligent Cloud Bursting for Enterprise Applications. USENIX ATC 2012: 361-366
Coauthor Index
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