☰

Caiwen Ding - Publications

Affiliations: 
University of Connecticut, Storrs, CT, United States 
Area:
Deep learning, Computer Vision, NLP, EDA, FPGA, neuromorphic computing
Tree Info Similar researchers PubMed Report error

5 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Li Z, Li J, Ren A, Cai R, Ding C, Qian X, Draper J, Yuan B, Tang J, Qiu Q, Wang Y. HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 38: 1543-1556. DOI: 10.1109/Tcad.2018.2852752  0.518
2018 Kim J, Baek D, Ding C, Lin S, Shin D, Lin X, Wang Y, Cho YH, Park SH, Chang N. Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations Ieee Transactions On Very Large Scale Integration Systems. 26: 1241-1253. DOI: 10.1109/Tvlsi.2018.2812705  0.475
2018 Ding C, Li H, Zheng W, Wang Y, Lin X. Reconfigurable Photovoltaic Systems for Electric Vehicles Ieee Design & Test of Computers. 35: 37-43. DOI: 10.1109/Mdat.2018.2841344  0.445
2017 Ding C, Liu N, Wang Y, Li J, Heidari S, Hu J, Liu Y. Multisource Indoor Energy Harvesting for Nonvolatile Processors Ieee Design & Test of Computers. 34: 42-49. DOI: 10.1109/Mdat.2017.2682242  0.476
2017 Li J, Yuan Z, Li Z, Ren A, Ding C, Draper J, Nazarian S, Qiu Q, Yuan B, Wang Y. Normalization and dropout for stochastic computing-based deep convolutional neural networks Integration. 65: 395-403. DOI: 10.1016/J.Vlsi.2017.11.002  0.508
Show low-probability matches.