Shanglin Zhou

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

Sanguthevar Rajasekaran, Xingyu Cai, Shanglin Zhou, 2018, SDM.

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods pdf

Yanzhi Wang, Fei Sun, Xiaolong Ma, 2020, ArXiv.

Neural Sequences as an Optimal Dynamical Regime for the Readout of Time

Dean V. Buonomano, Shanglin Zhou, Sotiris C. Masmanidis, 2020, Neuron.

Molecular Modeling of the 3D Structure of 5-HT1AR: Discovery of Novel 5-HT1AR Agonists via Dynamic Pharmacophore-Based Virtual Screening

Bo Gao, Hualiang Jiang, Kunqian Yu, 2013, J. Chem. Inf. Model..

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

Caiwen Ding, Shanglin Zhou, Bingbing Li, 2020, ArXiv.

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

Caiwen Ding, Jinbo Bi, Chenghong Wang, 2020, ArXiv.

Synaptic E-I Balance Underlies Efficient Neural Coding

Yuguo Yu, Shanglin Zhou, Yuguo Yu, 2018, Front. Neurosci..

An Efficient Deep Reinforcement Learning Framework for UAVs

Lu Lu, Caiwen Ding, Shanglin Zhou, 2020, 2020 21st International Symposium on Quality Electronic Design (ISQED).

Synaptic Excitatory-Inhibitory Balance Underlying Efficient Neural Coding.

Yuguo Yu, Shanglin Zhou, Yuguo Yu, 2018, Advances in neurobiology.