Shanglin Zhou - RankMe

37 papers A* 6A 4C 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HoloGraph: All-Optical Graph Learning via Light Diffraction. CoRR Yingjie Li, Shanglin Zhou, Caiwen Ding, Cunxi Yu
2025	J	`jnl`	A unified DNN weight compression framework using reweighted optimization methods. Intell. Syst. Appl. Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Shanglin Zhou, Minghai Qin, Caiwen Ding, Baocheng Geng, Makan Fardad, Yanzhi Wang
2025	—	`conf`	Secure and Efficient Video Inferences with Compressed 3-Dimensional Deep Neural Networks. CODASPY Bingyu Liu, Ali Arastehfard, Rujia Wang, Weiran Liu, Zhongjie Ba, Shanglin Zhou, Yuan Hong
2024	J	`jnl`	A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
2023	—	`conf`	A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. ISQED Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding
2023	A*	`conf`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	J	`jnl`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	A*	`conf`	Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. DAC Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
2023	J	`jnl`	Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. CoRR Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
2023	J	`jnl`	RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR 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
2023	J	`jnl`	Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. CoRR Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao
2023	J	`jnl`	Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
2023	J	`jnl`	Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
2022	—	`conf`	An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices. ISQED Wei Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
2022	J	`jnl`	Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge. Neurocomputing Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin
2022	A	`conf`	EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. ICCAD Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
2022	J	`jnl`	EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System. CoRR Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
2022	A	`conf`	Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
2022	J	`jnl`	Encoding time in neural dynamic regimes with distinct computational tradeoffs. PLoS Comput. Biol. Shanglin Zhou, Sotiris C. Masmanidis, Dean V. Buonomano
2022	C	`conf`	On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
2022	A*	`conf`	Poster: Cryptographic Inferences for Video Deep Neural Networks. CCS Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong
2021	A*	`conf`	A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang
2021	A*	`conf`	Against Membership Inference Attack: Pruning is All You Need. IJCAI Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
2021	—	`conf`	An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. ISQED Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding
2021	J	`jnl`	Application of Hidden Markov Models to Analyze, Group and Visualize Spatio-Temporal COVID-19 Data. IEEE Access Shanglin Zhou, Paolo Braca, Stefano Maranò, Peter Willett, Leonardo Maria Millefiori, Domenico Gaglione, Krishna R. Pattipati
2021	—	`conf`	Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	J	`jnl`	Binary Complex Neural Network Acceleration on FPGA. CoRR Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	A*	`conf`	Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
2021	J	`jnl`	Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
2021	J	`jnl`	Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
2021	A	`conf`	Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). ICCAD Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang
2020	J	`jnl`	A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
2020	J	`jnl`	A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang
2020	—	`conf`	An Efficient Deep Reinforcement Learning Framework for UAVs. ISQED Shanglin Zhou, Bingbing Li, Caiwu Ding, Lu Lu, Caiwen Ding
2020	J	`jnl`	MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
2018	A	`conf`	JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. SDM Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran
2013	J	`jnl`	Molecular Modeling of the 3D Structure of 5-HT J. Chem. Inf. Model. Lili Xu, Shanglin Zhou, Kunqian Yu, Bo Gao, Hualiang Jiang, Xuechu Zhen, Wei Fu