Ye Tian

13 papers A* 2A 5Misc 1Journal 2Unranked 3
YearRankTypeTitle / Venue / Authors
2021 A* conf
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
DAC
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2021 J jnl
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.
CoRR
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
2020 A* conf
DeepDyve: Dynamic Verification for Deep Neural Networks.
CCS
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
2020 J jnl
DeepDyve: Dynamic Verification for Deep Neural Networks.
CoRR
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
2019 A conf
D2NN: a fine-grained dual modular redundancy framework for deep neural networks.
ACSAC
Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu
2019 Misc conf
Lightweight prediction based big/little design for efficient neural network inference.
SEC
Ye Tian, Min Li, Qiang Xu
2018 A conf
Lookup table allocation for approximate computing with memory under quality constraints.
DATE
Ye Tian, Qian Zhang, Ting Wang, Qiang Xu
2017 A conf
ApproxLUT: A novel approximate lookup table-based accelerator.
ICCAD
Ye Tian, Ting Wang, Qian Zhang, Qiang Xu
2017 — conf
On efficient message passing in energy harvesting based distributed system.
ASP-DAC
Ye Tian, Qiang Xu, Jason Xue
2016 — conf
ApproxMap: On task allocation and scheduling for resilient applications.
ASP-DAC
Juan Yi, Qian Zhang, Ye Tian, Ting Wang, Weichen Liu, Edwin Hsing-Mean Sha, Qiang Xu
2015 A conf
ApproxANN: an approximate computing framework for artificial neural network.
DATE
Qian Zhang, Ting Wang, Ye Tian, Feng Yuan, Qiang Xu
2015 A conf
ApproxEigen: An Approximate Computing Technique for Large-Scale Eigen-Decomposition.
ICCAD
Qian Zhang, Ye Tian, Ting Wang, Feng Yuan, Qiang Xu
2015 — conf
ApproxMA: Approximate Memory Access for Dynamic Precision Scaling.
ACM Great Lakes Symposium on VLSI
Ye Tian, Qian Zhang, Ting Wang, Feng Yuan, Qiang Xu