Zhe Li

According to our database, Zhe Li authored at least 32 papers between 2014 and 2020.

Collaborative distances:

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

2020

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing.

Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks.

Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Normalization and dropout for stochastic computing-based deep convolutional neural networks.

Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang

Integr., 2019

CircConv: A Structured Convolution with Low Complexity.

Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan

CoRR, 2019

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.

Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu

Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization.

Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang

Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs.

Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

3D Point Cloud Attribute Compression Based on Cylindrical Projection.

Zhe Li, Lanyi He, Wenjie Zhu, Yiling Xu, Jun Sun, Le Yang

Proceedings of the 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2019

Thoracic Disease Identification and Localization with Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing.

Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing.

Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Learning Topics Using Semantic Locality.

Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Efficient Recurrent Neural Networks using Structured Matrices in FPGAs.

Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang

Proceedings of the 6th International Conference on Learning Representations, 2018

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs.

Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Thoracic Disease Identification and Localization With Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.

Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.

Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

CoRR, 2017

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.

Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.

Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.

Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan

Proceedings of the 34th International Conference on Machine Learning, 2017

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.

Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.

Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan

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

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.

Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Structural design optimization for deep convolutional neural networks using stochastic computing.

Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.

Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

Towards acceleration of deep convolutional neural networks using stochastic computing.

Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

A Neuromorphic Architecture for Context Aware Text Image Recognition.

Qinru Qiu, Zhe Li, Khadeer Ahmed, Wei Liu, Syed Faisal Habib, Hai (Helen) Li, Miao Hu

J. Signal Process. Syst., 2016

Assisting fuzzy offline handwriting recognition using recurrent belief propagation.

Yilan Li, Zhe Li, Qinru Qiu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Designing reconfigurable large-scale deep learning systems using stochastic computing.

Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks.

Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Towards parallel implementation of associative inference for cogent confabulation.

Zhe Li, Qinru Qiu, Mangesh Tamhankar

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2014

Neuromorphic acceleration for context aware text image recognition.

Qinru Qiu, Zhe Li, Khadeer Ahmed, Hai (Helen) Li, Miao Hu

Proceedings of the 2014 IEEE Workshop on Signal Processing Systems, 2014