Ye Tian

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 10

Top Topics

Geographically Dispersed

Capable Of Producing

Inference Process

Top Venues

Publications

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