Shanglin Zhou

According to our database, Shanglin Zhou authored at least 29 papers between 2013 and 2023.

Collaborative distances:

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

2023

Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.

Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding

ACM Trans. Design Autom. Electr. Syst., November, 2023

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles.

Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao

CoRR, 2023

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

CoRR, 2023

A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller.

Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks.

Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Encoding time in neural dynamic regimes with distinct computational tradeoffs.

Shanglin Zhou, Sotiris C. Masmanidis, Dean V. Buonomano

PLoS Comput. Biol., 2022

Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.

Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin

Neurocomputing, 2022

An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices.

Wei Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond.

Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System.

Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.

Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Poster: Cryptographic Inferences for Video Deep Neural Networks.

Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.

Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie

CoRR, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang

CoRR, 2021

Binary Complex Neural Network Acceleration on FPGA.

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

CoRR, 2021

Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data.

Shanglin Zhou, Paolo Braca, Stefano Maranò, Peter Willett, Leonardo Maria Millefiori, Domenico Gaglione, Krishna R. Pattipati

IEEE Access, 2021

An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.

Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Against Membership Inference Attack: Pruning is All You Need.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.

Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).

Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods.

Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.

Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao

CoRR, 2020

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

CoRR, 2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.

Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang

CoRR, 2020

An Efficient Deep Reinforcement Learning Framework for UAVs.

Shanglin Zhou, Bingbing Li, Caiwu Ding, Lu Lu, Caiwen Ding

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

2018

JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences.

Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2013

Molecular Modeling of the 3D Structure of 5-HT_1AR: Discovery of Novel 5-HT_1AR Agonists via Dynamic Pharmacophore-Based Virtual Screening.

Lili Xu, Shanglin Zhou, Kunqian Yu, Bo Gao, Hualiang Jiang, Xuechu Zhen, Wei Fu

J. Chem. Inf. Model., 2013