Shanglin Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 34

Top Topics

Lagrangian Relaxation

Autonomous Vehicles

Top Venues

Publications

Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding
A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. ISQED (2023)
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR (2023)
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
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR (2023)
Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC (2023)
Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. CoRR (2023)
Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. DAC (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR (2023)
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference. CoRR (2022)
Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD (2022)
Shanglin Zhou, Sotiris C. Masmanidis, Dean V. Buonomano
Encoding time in neural dynamic regimes with distinct computational tradeoffs. PLoS Comput. Biol. 18 (3) (2022)
Wei Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices. ISQED (2022)
Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong
Poster: Cryptographic Inferences for Video Deep Neural Networks. CCS (2022)
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System. CoRR (2022)
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. ICCAD (2022)
Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge. Neurocomputing 512 (2022)
Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE (2022)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Against Membership Inference Attack: Pruning is All You Need. IJCAI (2021)
Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding
An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. ISQED (2021)
Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR (2021)
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA. CoRR (2021)
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI (2021)
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang
A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC (2021)
Shanglin Zhou, Paolo Braca, Stefano Maranò, Peter Willett, Leonardo Maria Millefiori, Domenico Gaglione, Krishna R. Pattipati
Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data. IEEE Access 9 (2021)
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). ICCAD (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP (2021)
Shanglin Zhou, Bingbing Li, Caiwu Ding, Lu Lu, Caiwen Ding
An Efficient Deep Reinforcement Learning Framework for UAVs. ISQED (2020)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR (2020)
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR (2020)
Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR (2020)
Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran
JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. SDM (2018)
Lili Xu, Shanglin Zhou, Kunqian Yu, Bo Gao, Hualiang Jiang, Xuechu Zhen, Wei Fu
R Agonists via Dynamic Pharmacophore-Based Virtual Screening. J. Chem. Inf. Model. 53 (12) (2013)