Shanglin Zhou

Orcid: 0000-0002-6409-7716

According to our database1, Shanglin Zhou authored at least 30 papers between 2013 and 2024.

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Bibliography

2024
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., May, 2024

2023
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.
ACM Trans. Design Autom. Electr. Syst., November, 2023

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles.
CoRR, 2023

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.
CoRR, 2023

A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Encoding time in neural dynamic regimes with distinct computational tradeoffs.
PLoS Comput. Biol., 2022

Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.
Neurocomputing, 2022

An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices.
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.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Poster: Cryptographic Inferences for Video Deep Neural Networks.
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.
CoRR, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs.
CoRR, 2021

Binary Complex Neural Network Acceleration on FPGA.
CoRR, 2021

Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data.
IEEE Access, 2021

An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Against Membership Inference Attack: Pruning is All You Need.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.
CoRR, 2020

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.
CoRR, 2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.
CoRR, 2020

An Efficient Deep Reinforcement Learning Framework for UAVs.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

2018
JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2013
Molecular Modeling of the 3D Structure of 5-HT<sub>1A</sub>R: Discovery of Novel 5-HT<sub>1A</sub>R Agonists via Dynamic Pharmacophore-Based Virtual Screening.
J. Chem. Inf. Model., 2013


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