A pilot study on two stage decoding strategies. - Bo Jiang; Rui Wang; Qiaosheng Zhang; Ji-cai Zhang; Xiaoxiang Zheng; Ting Zhao (EMBC, 2011)

A study on combining local field potential and single unit activity for better neural decoding. - Shaomin Zhang; Bo Jiang; Junming Zhu; Qiaosheng Zhang; Weidong Chen 002; Xiaoxiang Zheng; Ting Zhao (Int. J. Imaging Syst. Technol., 2011)

Decoding grasp types with high frequency of local field potentials from primate primary dorsal premotor cortex. - Yue Li; Yaoyao Hao; Dong Wang; Qiaosheng Zhang; Yuxi Liao; Xiaoxiang Zheng; Weidong Chen 002 (EMBC, 2012)

Decoding wrist kinematics from local field potentials of the ipsilateral primary motor and dorsal premotor cortices. - Dong Wang; Yaoyao Hao; Qiaosheng Zhang; Shaomin Zhang; Ting Zhao; Xiaoxiang Zheng; Weidong Chen 002 (EMBC, 2012)

A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface. - Xi Chen; Yuxi Liao; Yiwen Wang 002; Shaomin Zhang; Qiaosheng Zhang; Xiaoxiang Zheng (ICONS, 2013)

Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping. - Yan Cao; Yaoyao Hao; Yuxi Liao; Kai Xu; Yiwen Wang 002; Shaomin Zhang; Qiaosheng Zhang; Weidong Chen 002; Xiaoxiang Zheng (Comput. Math. Methods Medicine, 2013)

The Convergence of Machine and Biological Intelligence. - Zhaohui Wu 001; Raj Reddy; Gang Pan 001; Nenggan Zheng; Paul F. M. J. Verschure; Qiaosheng Zhang; Xiaoxiang Zheng; José C. Príncipe; Alex Kreilinger; Martin Rohm; Vera Kaiser; Robert Leeb; et al. (IEEE Intell. Syst., 2013)

Cortical discrimination of natural vibration stimulation in rats for a BMI task. - Yan Cao; Fang Wang; Qiaosheng Zhang; Kedi Xu 001; Yiwen Wang 002; Xiaoxiang Zheng (BioCAS, 2014)

Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces. - Yuxi Liao; Hongbao Li; Qiaosheng Zhang; Gong Fan; Yiwen Wang 002; Xiaoxiang Zheng (EMBC, 2014)

Clustering and observation on neuron tuning property for brain machine interfaces. - Xiwei She; Yuxi Liao; Hongbao Li; Qiaosheng Zhang; Yiwen Wang 002; Xiaoxiang Zheng (MFI, 2014)

Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex. - Hongbao Li; Yuxi Liao; Yiwen Wang 002; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng (EMBC, 2015)

Comparison of long-term decoding stability of ultra high frequency band local field potentials (>500Hz) and spike signals in primate motor cortex. - Yile Jin; Qiaosheng Zhang; Yue Li; Guanghao Sun; Junming Zhu; Shaomin Zhang; Xiaoxiang Zheng (NER, 2015)

Dorsal premotor cortex of the macaque monkey participate grasp planning. - Guanghao Sun; Lichao Wang; Qiaosheng Zhang; Yiwen Wang 002; Kedi Xu 001; Shaomin Zhang; Xiaoxiang Zheng (NER, 2015)

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. - Hongbao Li; Fang Wang; Qiaosheng Zhang; Shaomin Zhang; Yiwen Wang 002; Xiaoxiang Zheng; José C. Príncipe (EMBC, 2016)

A network-based pathway-expanding approach for pathway analysis. - Qiaosheng Zhang; Jie Li 055; Haozhe Xie; Hanqing Xue; Yadong Wang (BMC Bioinform., 2016)

Comparison among dimensionality reduction techniques based on Random Projection for cancer classification. - Haozhe Xie; Jie Li 055; Qiaosheng Zhang; Yadong Wang (Comput. Biol. Chem., 2016)

Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. - Yiwen Wang 002; Xiwei She; Yuxi Liao; Hongbao Li; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Príncipe (IEEE Trans. Biomed. Eng., 2016)

A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity. - Sile Hu; Qiaosheng Zhang; Jing Wang 085; Zhe Chen 001 (ACSSC, 2017)

Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches. - Zhe Chen 001; Sile Hu; Qiaosheng Zhang; Jing Wang 085 (NER, 2017)

Dorsal premotor area of the macaque monkey participates the preparation of grasp movements. - Guanghao Sun; Shaomin Zhang; Kedi Xu 001; Qiaosheng Zhang; Junming Zhu; Yiyi Yang; Xiaoxiang Zheng (NER, 2017)

Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. - Fang Wang; Yiwen Wang 002; Kai Xu; Hongbao Li; Yuxi Liao; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2017)

Practical Considerations of a BMI Application for Detecting Acute Pain Signals. - Sile Hu; Zhengdong Xiao; Qiaosheng Zhang; Louise Urien; Jing Wang 085; Zhe Chen 001 (ICASSP, 2018)

Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM. - Dong Xing; Cunle Qian; Hongbao Li; Shaomin Zhang; Qiaosheng Zhang; Yaoyao Hao; Xiaoxiang Zheng; Zhaohui Wu 001; Yiwen Wang 002; Gang Pan 001 (IEEE Trans. Cogn. Dev. Syst., 2018)

Ensembles of change-point detectors: implications for real-time BMI applications. - Zhengdong Xiao; Sile Hu; Qiaosheng Zhang; Xiang Tian 002; Yaowu Chen; Jing Wang 085; Zhe Chen 001 (J. Comput. Neurosci., 2019)

Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps. - Guanghao Sun; Shaomin Zhang; Y. Zhang; Kai Xu; Qiaosheng Zhang; Ting Zhao; Xiaoxiang Zheng (Neural Comput., 2019)

Predictive coding models for pain perception. - Yuru Song; Mingchen Yao; Helen Kemprecos; Áine Byrne; Zhengdong Xiao; Qiaosheng Zhang; Amrita Singh; Jing Wang 085; Zhe S. Chen 001 (J. Comput. Neurosci., 2021)

Distance correlation application to gene co-expression network analysis. - Jie Hou; Xiufen Ye; Weixing Feng; Qiaosheng Zhang; Yatong Han; Yusong Liu; Yu Li; Yufen Wei (BMC Bioinform., 2022)

Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. - Jirong Yi; Qiaosheng Zhang; Zhen Chen; Qiao Liu; Wei Shao (CoRR, 2022)

Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. - Jirong Yi; Qiaosheng Zhang; Zhen Chen; Qiao Liu; Wei Shao; Yusen He; Yaohua Wang (CoRR, 2022)

Toward secure distributed data storage with error locating in blockchain enabled edge computing. - Dengzhi Liu; Yong Zhang; Dongbao Jia; Qiaosheng Zhang; Xuefeng Zhao; Huan Rong (Comput. Stand. Interfaces, 2022)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World. - Zheng Zhou; Hongbo Zhao 001; Ju Liu; Qiaosheng Zhang; Liwei Geng; Shuchang Lyu; Wenquan Feng (CoRR, 2023)

On the Role of General Function Approximation in Offline Reinforcement Learning. - Chenjie Mao; Qiaosheng Zhang; Zhen Wang 004; Xuelong Li 001 (ICLR, 2024)

Constrained Ensemble Exploration for Unsupervised Skill Discovery. - Chenjia Bai; Rushuai Yang; Qiaosheng Zhang; Kang Xu; Yi Chen; Ting Xiao; Xuelong Li 001 (ICML, 2024)

Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms. - Zhongtian Ma; Qiaosheng Zhang; Zhen Wang (CoRR, 2024)

Community Detection in the Multi-View Stochastic Block Model. - Yexin Zhang; Zhongtian Ma; Qiaosheng Zhang; Zhen Wang 004; Xuelong Li 001 (CoRR, 2024)

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning. - Qiaosheng Zhang; Chenjia Bai; Shuyue Hu; Zhen Wang; Xuelong Li 001 (CoRR, 2024)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning. - Changhong Wang; Xudong Yu; Chenjia Bai; Qiaosheng Zhang; Zhen Wang 004 (CoRR, 2024)

A Theory of Learnability for Offline Decision Making. - Chenjie Mao; Qiaosheng Zhang (CoRR, 2024)