All
By Year
22021
132020
22019
By Type
16conference
1workshop
By Venue
1ICPE
1SDM
2ACM MM
1Performance
1CIKM
1ECCV
1arXiv
1KDD
1MMSys
2ICDCS
1HotMobile
2IC2E
1DIDL
1ICAC
By Author
3Xin Dai
1Wensheng Dou
1Xianglong Feng
1Rodrigo Fonseca
2Guin R. Gilman
17Tian Guo
1Yixian Huang
1Bo Jiang
1Nan Jiang
1Kai Kang
4Xiangnan Kong
1John Lee
1Matthew LeMay
3Shijian Li
1Yunzhuo Liu
1Xinyue Liu
1Yao Liu
1Constance Moore
4Samuel S. Ogden
1Huy Phan
1Ramesh Sitaraman
1Viswanathan Swaminathan
1Zhongze Tang
1Yuandong Tian
1Don Towsley
4Robert J. Walls
1Xinbing Wang
1Linnan Wang
1Wei Wang
2Sheng Wei
1Jun Wei
1Yi Xie
1Wenyao Xu
1Lisong Xu
2Lijie Xu
1Xingtong Ye
1Bo Yuan
2Yiqin Zhao
1Yiyang Zhao

PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference

Samuel S. Ogden, Xiangnan Kong, Tian Guo

12th ACM/SPEC International Conference on Performance Engineering (ICPE'21)

project

The bottleneck for using cloud-based inference can come down to poor mobile or network performance. PieSlicer improves this performance by dynamically deciding where to preprocess the inference input based on empirical-driven performance models.

CINET: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference

Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang

SIAM International Conference on Data Mining (SDM'21)

project

We design a collaboration-aware neural network called CiNet by considering the low on-device computation and network transmission cost from the outset. CiNet allows easy and efficient inference computation partition across mobile device and remote server.

GRAD: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding

Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh Sitaraman, Don Towsley, Xinbing Wang

28th ACM International Conference on Multimedia (ACM MM'20)

paper , project

We provide a new mechanism for bitrate adaptation algorithms, enabling finer-grained bitrate adjustments to both buffered and incoming video chunks. Our deep reinforcement learning based approach outperforms state-of-the-art, especially under highly-variable network.

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation

Zhongze Tang, Xianglong Feng, Yi Xie, Huy Phan, Tian Guo, Bo Yuan, Sheng Wei

28th ACM International Conference on Multimedia (ACM MM'20)

paper , project

Demystifying the Placement Policies of the GPU Thread Block Scheduler for Concurrent Kernels

Guin R. Gilman, Samuel S. Ogden, Tian Guo, Robert J. Walls

38th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (Performance'20)

paper , project

EPNet: Learning to Exit with Flexible Multi-Branch Network

Xin Dai, Xiangnan Kong, Tian Guo

ACM International Conference on Information and Knowledge Management (CIKM'20)

paper , project

PointAR: Efficient Lighting Estimation for Mobile Augmented Reality

Yiqin Zhao, Tian Guo

16th European Conference on Computer Vision (ECCV'20)

poster , paper , project

Few-shot Neural Architecture Search

Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo

arXiv (arXiv'20)

paper , project

Recurrent Networks for Guided Multi-Attention Classification

Xin Dai, Xiangnan Kong, Tian Guo, John Lee, Xinyue Liu, Constance Moore

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'20)

paper , project

QuRate: Power-Efficient Mobile Immersive Video Streaming

Nan Jiang, Yao Liu, Tian Guo, Wenyao Xu, Viswanathan Swaminathan, Lisong Xu, Sheng Wei

ACM Multimedia Systems Conference 2020 (MMSys'20) 🎉🎉 Best Paper, DASH-IF Excellence in DASH Award (3rd place) 🎉🎉

code , paper , project

Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers

Shijian Li, Robert J. Walls, Tian Guo

40th IEEE International Conference on Distributed Computing Systems (ICDCS'20)

code , paper , project

DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms

Lijie Xu, Xingtong Ye, Kai Kang, Tian Guo, Wensheng Dou, Wei Wang, Jun Wei

40th IEEE International Conference on Distributed Computing Systems (ICDCS'20)

paper , project

PointAR: Efficient Lighting Estimation for Mobile Augmented Reality

Yiqin Zhao, Tian Guo

International Workshop on Mobile Computing Systems and Applications (HotMobile'20)

paper , project

Perseus: Characterizing Performance and Cost of Multi-Tenant Serving for CNN Models

Matthew LeMay, Shijian Li, Tian Guo

IEEE International Conference on Cloud Engineering (IC2E'20)

code , paper , project

MDInference: Balancing Inference Accuracy and Latency for Mobile Applications

Samuel S. Ogden, Tian Guo

IEEE International Conference on Cloud Engineering (IC2E'20)

code , paper , project

Challenges and Opportunities of DNN Model Execution Caching

Guin R. Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo

Third Workshop on Distributed Infrastructures for Deep Learning (DIDL'19)

project

Speeding up Deep Learning with Transient Servers

Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo

The 16th IEEE International Conference on Autonomic Computing (ICAC'19)

code , paper , project

Update in progress, coming soon... Papers prior 2019 can be found in my Google Scholar.