Ye Tian

Affiliations:
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Shenzhen Research Institute, Hong Kong


According to our database1, Ye Tian authored at least 11 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
DeepDyve: Dynamic Verification for Deep Neural Networks.
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.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

D2NN: a fine-grained dual modular redundancy framework for deep neural networks.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018
Lookup table allocation for approximate computing with memory under quality constraints.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
ApproxLUT: A novel approximate lookup table-based accelerator.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

On efficient message passing in energy harvesting based distributed system.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
ApproxMap: On task allocation and scheduling for resilient applications.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015
ApproxEigen: An Approximate Computing Technique for Large-Scale Eigen-Decomposition.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

ApproxMA: Approximate Memory Access for Dynamic Precision Scaling.
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.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015


  Loading...