Neuromorphic acceleration for context aware text image recognition. - Qinru Qiu; Zhe Li 001; Khadeer Ahmed; Hai (Helen) Li; Miao Hu 002 (SiPS, 2014)

Towards parallel implementation of associative inference for cogent confabulation. - Zhe Li 001; Qinru Qiu; Mangesh Tamhankar (HPEC, 2016)

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCD, 2016)

Designing reconfigurable large-scale deep learning systems using stochastic computing. - Ao Ren; Zhe Li 001; Yanzhi Wang; Qinru Qiu; Bo Yuan 001 (ICRC, 2016)

Assisting fuzzy offline handwriting recognition using recurrent belief propagation. - Yilan Li; Zhe Li 001; Qinru Qiu (SSCI, 2016)

A Neuromorphic Architecture for Context Aware Text Image Recognition. - Qinru Qiu; Zhe Li 001; Khadeer Ahmed; Wei Liu; Syed Faisal Habib; Hai (Helen) Li; Miao Hu 002 (J. Signal Process. Syst., 2016)

Towards acceleration of deep convolutional neural networks using stochastic computing. - Ji Li 006; Ao Ren; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang (ASP-DAC, 2017)

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. - Ao Ren; Zhe Li 001; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Ji Li 006; Xuehai Qian; Bo Yuan 001 (ASPLOS, 2017)

Structural design optimization for deep convolutional neural networks using stochastic computing. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Bo Yuan 001; Jeffrey Draper; Yanzhi Wang (DATE, 2017)

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. - Zihao Yuan; Ji Li 006; Zhe Li 001; Caiwen Ding; Ao Ren; Bo Yuan 001; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2017)

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. - Siyu Liao; Zhe Li 001; Xue Lin 001; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCAD, 2017)

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. - Ning Liu 007; Zhe Li 001; Jielong Xu; Zhiyuan Xu; Sheng Lin 001; Qinru Qiu; Jian Tang 008; Yanzhi Wang (ICDCS, 2017)

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. - Liang Zhao 002; Siyu Liao; Yanzhi Wang; Zhe Li 001; Jian Tang 008; Bo Yuan 001 (ICML, 2017)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Caiwen Ding; Ao Ren; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (IJCNN, 2017)

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang; Caiwen Ding; Zhe Li 001; Geng Yuan; Siyu Liao; Xiaolong Ma; Bo Yuan 001; Xuehai Qian; Jian Tang 008; Qinru Qiu; Xue Lin 001 (AAAI, 2018)

Thoracic Disease Identification and Localization With Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2018)

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. - Shuo Wang 009; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang; Yun Liang 001 (FPGA, 2018)

Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. - Zhe Li 001; Shuo Wang 009; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Yun Liang 001 (ICLR (Workshop), 2018)

Learning Topics Using Semantic Locality. - Ziyi Zhao; Krittaphat Pugdeethosapol; Sheng Lin 001; Zhe Li 001; Caiwen Ding; Yanzhi Wang; Qinru Qiu (ICPR, 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 001; Jie Han 001; Jingtong Hu; Yanzhi Wang (ISQED, 2018)

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. - Zhe Li 001; Ji Li 006; Ao Ren; Caiwen Ding; Jeffrey Draper; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (ISVLSI, 2018)

Thoracic Disease Identification and Localization with Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

3D Point Cloud Attribute Compression Based on Cylindrical Projection. - Zhe Li 001; Lanyi He; Wenjie Zhu 004; Yiling Xu; Jun Sun 005; Le Yang 001 (BMSB, 2019)

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. - Zhe Li 001; Caiwen Ding; Siyue Wang; Wujie Wen; Youwei Zhuo; Chang Liu; Qinru Qiu; Wenyao Xu; Xue Lin 001; Xuehai Qian; Yanzhi Wang (HPCA, 2019)

Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. - Zhe Li 001; Xiaolong Ma; Ji Li 006; Qinru Qiu; Yanzhi Wang (ICESS, 2019)

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. - Yilan Li; Hongjia Li; Zhe Li 001; Haowen Fang; Amit K. Sanyal; Yanzhi Wang; Qinru Qiu (RTCSA, 2019)

CircConv: A Structured Convolution with Low Complexity. - Siyu Liao; Zhe Li 001; Liang Zhao 002; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (CoRR, 2019)

Normalization and dropout for stochastic computing-based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Ao Ren; Caiwen Ding; Jeffrey Draper; Shahin Nazarian; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (Integr., 2019)

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. - Zhe Li 001; Ji Li 006; Ao Ren; Ruizhe Cai; Caiwen Ding; Xuehai Qian; Jeffrey Draper; Bo Yuan 001; Jian Tang 008; Qinru Qiu; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. - Xiaolong Ma; Zhe Li 001; Hongjia Li; Qiyuan An; Qinru Qiu; Wenyao Xu; Yanzhi Wang (ASP-DAC, 2020)