Jeng-Hau Lin

According to our database, Jeng-Hau Lin authored at least 14 papers between 2014 and 2020.

Collaborative distances:

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

2020

Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.

Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta

IEEE Des. Test, 2020

Local Binary Pattern Networks.

Jeng-Hau Lin, Justin Lazarow, Yunfan Yang, Dezhi Hong, Rajesh K. Gupta, Zhuowen Tu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Training Machine Learning Network on Adreno Mobile GPUs Using OpenCL.

Bolan Jiang, Jeng-Hau Lin, Adarsh Golikeri, Li He, Hongqiang Wang, Alex Bourd

Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

2019

Resource Efficient and Error Resilient Neural Networks.

Jeng-Hau Lin

PhD thesis, 2019

Multi-tenant mobile offloading systems for real-time computer vision applications.

Zhou Fang, Jeng-Hau Lin, Mani B. Srivastava, Rajesh K. Gupta

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs.

Jeng-Hau Lin, Atieh Lotfi, Vahideh Akhlaghi, Zhuowen Tu, Rajesh K. Gupta

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Local Binary Pattern Networks.

Jeng-Hau Lin, Yunfan Yang, Rajesh K. Gupta, Zhuowen Tu

CoRR, 2018

2017

An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations.

Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta

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

Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs.

Ritchie Zhao, Weinan Song, Wentao Zhang, Tianwei Xing, Jeng-Hau Lin, Mani B. Srivastava, Rajesh Gupta, Zhiru Zhang

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration.

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Zhiru Zhang, Mani B. Srivastava, Zhuowen Tu, Rajesh K. Gupta

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Simulation Algorithms With Exponential Integration for Time-Domain Analysis of Large-Scale Power Delivery Networks.

Hao Zhuang, Wenjian Yu, Shih-Hung Weng, Ilgweon Kang, Jeng-Hau Lin, Xiang Zhang, Ryan Coutts, Chung-Kuan Cheng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

2015

Simulation Algorithms with Exponential Integration for Time-Domain Analysis of Large-Scale Power Delivery Networks.

Hao Zhuang, Wenjian Yu, Shih-Hung Weng, Ilgweon Kang, Jeng-Hau Lin, Xiang Zhang, Ryan Coutts, Jingwei Lu, Chung-Kuan Cheng

CoRR, 2015

An interdigitated non-contact ECG electrode for impedance compensation and signal restoration.

Jeng-Hau Lin, Hao Liu, Chia-Hung Liu, Phillip Lam, Gung-Yu Pan, Hao Zhuang, Ilgweon Kang, Patrick P. Mercier, Chung-Kuan Cheng

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014

MATEX: A Distributed Framework for Transient Simulation of Power Distribution Networks.

Hao Zhuang, Shih-Hung Weng, Jeng-Hau Lin, Chung-Kuan Cheng

Proceedings of the 51st Annual Design Automation Conference 2014, 2014