Zhe Li

发表

Thoracic Disease Identification and Localization with Limited Supervision

Wei Wei, Li-Jia Li, Yuan Xue, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices

Chao Wang, Yu Bai, Qinru Qiu, 2017, 2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

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

Qinru Qiu, Yanzhi Wang, Bo Yuan, 2016, ASPLOS.

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

Aditya Singh Rathore, Wenyao Xu, Qinru Qiu, 2018, 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC).

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

Qinru Qiu, Yanzhi Wang, Ji Li, 2019, 2019 IEEE International Conference on Embedded Software and Systems (ICESS).

Designing reconfigurable large-scale deep learning systems using stochastic computing

Qinru Qiu, Yanzhi Wang, Zhe Li, 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).

Thoracic Disease Identification and Localization with Limited Supervision

Mei Han, Fei-Fei Li, Chong Wang, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks

A. Tolias, Zhe Li, X. Pitkow, 2022, ArXiv.

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

Qinru Qiu, Yanzhi Wang, Xuehai Qian, 2018, AAAI.

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

Qinru Qiu, Yanzhi Wang, Zhe Li, 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Xinlei Chen, Mei Han, Chong Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Towards acceleration of deep convolutional neural networks using stochastic computing

Ji Li, Qinru Qiu, Yanzhi Wang, 2017, 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC).

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

Ji Li, Qinru Qiu, Yanzhi Wang, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

Community Partitioning Combining Topological Structure and Multi-attribute Characteristics

Zhe Li, Guanghui Yan, Ye Lv, 2021, 2021 the 7th International Conference on Communication and Information Processing (ICCIP).

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

Ji Li, Qinru Qiu, Yanzhi Wang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

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

Qinru Qiu, Yanzhi Wang, Bo Yuan, 2018, FPGA.

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

Wenyao Xu, Qinru Qiu, Chang Liu, 2018, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).

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

Jingtong Hu, Yanzhi Wang, Jie Han, 2018, 2018 19th International Symposium on Quality Electronic Design (ISQED).

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

Ji Li, Qinru Qiu, Yanzhi Wang, 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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

Qinru Qiu, Zhiyuan Xu, Yanzhi Wang, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices

Qinru Qiu, Yanzhi Wang, X. Lin, 2017, 2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

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

Qinru Qiu, Yanzhi Wang, Yilan Li, 2019, 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

CircConv: A Structured Convolution with Low Complexity pdf

Qinru Qiu, Yanzhi Wang, Bo Yuan, 2019, AAAI.

Improving DNA 6mA Site Prediction via Integrating Bidirectional Long Short-Term Memory, Convolutional Neural Network, and Self-Attention Mechanism.

Zhe Li, Gui-jun Zhang, Jun Hu, 2023, Journal of Chemical Information and Modeling.

Reading selectively via Binary Input Gated Recurrent Unit

Hanqing Lu, Peisong Wang, Zhe Li, 2019, IJCAI.

Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network

P. Li, Zhe Li, Xusheng Du, 2023, Concurr. Comput. Pract. Exp..