Ye Tian

According to our database, Ye Tian authored at least 11 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.

Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

DeepDyve: Dynamic Verification for Deep Neural Networks.

Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Lightweight prediction based big/little design for efficient neural network inference.

Ye Tian, Min Li, Qiang Xu

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

D2NN: a fine-grained dual modular redundancy framework for deep neural networks.

Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

Lookup table allocation for approximate computing with memory under quality constraints.

Ye Tian, Qian Zhang, Ting Wang, Qiang Xu

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

ApproxLUT: A novel approximate lookup table-based accelerator.

Ye Tian, Ting Wang, Qian Zhang, Qiang Xu

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

On efficient message passing in energy harvesting based distributed system.

Ye Tian, Qiang Xu, Jason Xue

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

ApproxMap: On task allocation and scheduling for resilient applications.

Juan Yi, Qian Zhang, Ye Tian, Ting Wang, Weichen Liu, Edwin Hsing-Mean Sha, Qiang Xu

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015

ApproxEigen: An Approximate Computing Technique for Large-Scale Eigen-Decomposition.

Qian Zhang, Ye Tian, Ting Wang, Feng Yuan, Qiang Xu

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

ApproxMA: Approximate Memory Access for Dynamic Precision Scaling.

Ye Tian, Qian Zhang, Ting Wang, Feng Yuan, Qiang Xu

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

ApproxANN: an approximate computing framework for artificial neural network.

Qian Zhang, Ting Wang, Ye Tian, Feng Yuan, Qiang Xu

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015