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2020 – today
- 2025
[i17]Dian Jin, Yuqian Zhang, Qiaosheng Zhang:
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms. CoRR abs/2501.11139 (2025)- [i16]Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li:
Online Preference Alignment for Language Models via Count-based Exploration. CoRR abs/2501.12735 (2025) - [i15]Han Qi, Fei Guo, Li Zhu, Qiaosheng Zhang, Xuelong Li:
Graph Feedback Bandits on Similar Arms: With and Without Graph Structures. CoRR abs/2501.14314 (2025) - [i14]Han Qi, Haochen Yang, Qiaosheng Zhang, Zhuoran Yang:
Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling. CoRR abs/2502.05434 (2025) - [i13]Hangfan Zhang, Zhiyao Cui, Xinrun Wang, Qiaosheng Zhang, Zhen Wang, Dinghao Wu, Shuyue Hu:
If Multi-Agent Debate is the Answer, What is the Question? CoRR abs/2502.08788 (2025) - 2024
- [j14]Qiaosheng Zhang, Yalong Wei, Jie Hou, Hongpeng Li, Zhaoman Zhong:
AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data. BMC Bioinform. 25(1): 392 (2024) - [c17]Chenjie Mao, Qiaosheng Zhang, Zhen Wang, Xuelong Li:
On the Role of General Function Approximation in Offline Reinforcement Learning. ICLR 2024 - [c16]Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li:
Constrained Ensemble Exploration for Unsupervised Skill Discovery. ICML 2024 - [i12]Zhongtian Ma, Qiaosheng Zhang, Zhen Wang:
Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms. CoRR abs/2401.08197 (2024) - [i11]Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang, Zhen Wang, Xuelong Li:
Community Detection in the Multi-View Stochastic Block Model. CoRR abs/2401.09510 (2024) - [i10]Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li:
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning. CoRR abs/2404.19292 (2024) - [i9]Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang:
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning. CoRR abs/2405.07223 (2024) - [i8]Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li:
Constrained Ensemble Exploration for Unsupervised Skill Discovery. CoRR abs/2405.16030 (2024) - [i7]Chenjie Mao, Qiaosheng Zhang:
A Theory of Learnability for Offline Decision Making. CoRR abs/2406.01378 (2024) - [i6]Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang:
Understanding When and Why Graph Attention Mechanisms Work via Node Classification. CoRR abs/2412.15496 (2024) - 2023
- [i5]Zheng Zhou
, Hongbo Zhao, Ju Liu, Qiaosheng Zhang, Liwei Geng, Shuchang Lyu, Wenquan Feng:
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World. CoRR abs/2312.17431 (2023) - 2022
- [j13]Jie Hou, Xiufen Ye, Weixing Feng, Qiaosheng Zhang, Yatong Han, Yusong Liu, Yu Li, Yufen Wei:
Distance correlation application to gene co-expression network analysis. BMC Bioinform. 23(1): 81 (2022) - [j12]Dengzhi Liu, Yong Zhang, Dongbao Jia, Qiaosheng Zhang, Xuefeng Zhao, Huan Rong:
Toward secure distributed data storage with error locating in blockchain enabled edge computing. Comput. Stand. Interfaces 79: 103560 (2022) - [i4]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao:
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR abs/2209.10058 (2022) - [i3]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao:
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR abs/2210.01000 (2022) - [i2]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang:
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. CoRR abs/2211.12685 (2022) - 2021
- [j11]Yuru Song, Mingchen Yao, Helen Kemprecos, Áine Byrne, Zhengdong Xiao, Qiaosheng Zhang, Amrita Singh, Jing Wang, Zhe S. Chen:
Predictive coding models for pain perception. J. Comput. Neurosci. 49(2): 107-127 (2021)
2010 – 2019
- 2019
- [j10]Zhengdong Xiao, Sile Hu, Qiaosheng Zhang, Xiang Tian, Yaowu Chen, Jing Wang, Zhe Chen:
Ensembles of change-point detectors: implications for real-time BMI applications. J. Comput. Neurosci. 46(1): 107-124 (2019) - [j9]Guanghao Sun, Shaomin Zhang, Y. Zhang, Kai Xu, Qiaosheng Zhang, Ting Zhao, Xiaoxiang Zheng:
Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps. Neural Comput. 31(7): 1356-1379 (2019) - 2018
- [j8]Dong Xing, Cunle Qian, Hongbao Li, Shaomin Zhang, Qiaosheng Zhang, Yaoyao Hao, Xiaoxiang Zheng, Zhaohui Wu, Yiwen Wang, Gang Pan:
Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM. IEEE Trans. Cogn. Dev. Syst. 10(2): 194-204 (2018) - [c15]Sile Hu, Zhengdong Xiao, Qiaosheng Zhang, Louise Urien, Jing Wang, Zhe Chen:
Practical Considerations of a BMI Application for Detecting Acute Pain Signals. ICASSP 2018: 831-835 - 2017
- [j7]Fang Wang, Yiwen Wang, Kai Xu, Hongbao Li, Yuxi Liao, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding. IEEE Trans. Neural Networks Learn. Syst. 28(4): 873-886 (2017) - [c14]Sile Hu, Qiaosheng Zhang, Jing Wang, Zhe Chen:
A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity. ACSSC 2017: 93-97 - [c13]Guanghao Sun, Shaomin Zhang, Kedi Xu, Qiaosheng Zhang, Junming Zhu, Yiyi Yang, Xiaoxiang Zheng:
Dorsal premotor area of the macaque monkey participates the preparation of grasp movements. NER 2017: 329-332 - [c12]Zhe Chen, Sile Hu, Qiaosheng Zhang, Jing Wang:
Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches. NER 2017: 481-484 - 2016
- [j6]Qiaosheng Zhang, Jie Li, Haozhe Xie, Hanqing Xue, Yadong Wang:
A network-based pathway-expanding approach for pathway analysis. BMC Bioinform. 17(S-17): 231-241 (2016) - [j5]Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang:
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification. Comput. Biol. Chem. 65: 165-172 (2016) - [j4]Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, José C. Príncipe:
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces. IEEE Trans. Biomed. Eng. 63(8): 1728-1741 (2016) - [c11]Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, José C. Príncipe:
Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface. EMBC 2016: 3056-3059 - [i1]Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang:
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification. CoRR abs/1608.07019 (2016) - 2015
- [c10]Hongbao Li, Yuxi Liao, Yiwen Wang, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng:
Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex. EMBC 2015: 2612-2615 - [c9]Guanghao Sun, Lichao Wang, Qiaosheng Zhang, Yiwen Wang, Kedi Xu, Shaomin Zhang, Xiaoxiang Zheng:
Dorsal premotor cortex of the macaque monkey participate grasp planning. NER 2015: 66-69 - [c8]Yile Jin, Qiaosheng Zhang, Yue Li, Guanghao Sun, Junming Zhu, Shaomin Zhang, Xiaoxiang Zheng:
Comparison of long-term decoding stability of ultra high frequency band local field potentials (>500Hz) and spike signals in primate motor cortex. NER 2015: 529-532 - 2014
- [c7]Yan Cao, Fang Wang, Qiaosheng Zhang, Kedi Xu, Yiwen Wang, Xiaoxiang Zheng:
Cortical discrimination of natural vibration stimulation in rats for a BMI task. BioCAS 2014: 608-611 - [c6]Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Gong Fan, Yiwen Wang, Xiaoxiang Zheng:
Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces. EMBC 2014: 6513-6516 - [c5]Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Yiwen Wang, Xiaoxiang Zheng:
Clustering and observation on neuron tuning property for brain machine interfaces. MFI 2014: 1-8 - 2013
- [j3]Yan Cao, Yaoyao Hao, Yuxi Liao, Kai Xu, Yiwen Wang, Shaomin Zhang, Qiaosheng Zhang, Weidong Chen, Xiaoxiang Zheng:
Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping. Comput. Math. Methods Medicine 2013: 730374:1-730374:9 (2013) - [j2]Zhaohui Wu, Raj Reddy, Gang Pan, Nenggan Zheng, Paul F. M. J. Verschure, Qiaosheng Zhang, Xiaoxiang Zheng, José C. Príncipe, Alex Kreilinger, Martin Rohm, Vera Kaiser, Robert Leeb, Rüdiger Rupp, Gernot R. Müller-Putz:
The Convergence of Machine and Biological Intelligence. IEEE Intell. Syst. 28(5): 28-43 (2013) - [c4]Xi Chen, Yuxi Liao, Yiwen Wang, Shaomin Zhang, Qiaosheng Zhang, Xiaoxiang Zheng:
A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface. ICONS 2013: 345-348 - 2012
- [c3]Yue Li, Yaoyao Hao, Dong Wang, Qiaosheng Zhang, Yuxi Liao, Xiaoxiang Zheng, Weidong Chen:
Decoding grasp types with high frequency of local field potentials from primate primary dorsal premotor cortex. EMBC 2012: 1691-1694 - [c2]Dong Wang, Yaoyao Hao, Qiaosheng Zhang, Shaomin Zhang, Ting Zhao, Xiaoxiang Zheng, Weidong Chen:
Decoding wrist kinematics from local field potentials of the ipsilateral primary motor and dorsal premotor cortices. EMBC 2012: 6418-6421 - 2011
- [j1]Shaomin Zhang, Bo Jiang, Junming Zhu, Qiaosheng Zhang, Weidong Chen, Xiaoxiang Zheng, Ting Zhao:
A study on combining local field potential and single unit activity for better neural decoding. Int. J. Imaging Syst. Technol. 21(2): 165-172 (2011) - [c1]Bo Jiang, Rui Wang, Qiaosheng Zhang, Ji-cai Zhang, Xiaoxiang Zheng, Ting Zhao:
A pilot study on two stage decoding strategies. EMBC 2011: 3700-3703
Coauthor Index
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