Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning. - Zhang, Qiaosheng; Bai, Chenjia; Hu, Shuyue; Wang, Zhen; Li, Xuelong (Artif. Intell., 2025)

SaeGraphDTI: drug-target interaction prediction based on sequence attribute extraction and graph neural network. - Zhang, Qiaosheng; Sun, Zhenyu; Zhong, Zhaoman; Yang, Huihui; Wei, Yalong; Xu, Junjie (BMC Bioinform., 2025)

Online Preference Alignment for Language Models via Count-based Exploration. - Bai, Chenjia; Zhang, Yang; Qiu, Shuang; Zhang, Qiaosheng; Xu, Kang; Li, Xuelong (2025)

Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms. - Jin, Dian; Zhang, Yuqian; Zhang, Qiaosheng (CoRR, 2025)

Online Preference Alignment for Language Models via Count-based Exploration. - Bai, Chenjia; Zhang, Yang; Qiu, Shuang; Zhang, Qiaosheng; Xu, Kang; Li, Xuelong (CoRR, 2025)

Graph Feedback Bandits on Similar Arms: With and Without Graph Structures. - Qi, Han; Guo, Fei; Zhu, Li; Zhang, Qiaosheng; Li, Xuelong (CoRR, 2025)

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling. - Qi, Han; Yang, Haochen; Zhang, Qiaosheng; Yang, Zhuoran (CoRR, 2025)

If Multi-Agent Debate is the Answer, What is the Question? - Zhang, Hangfan; Cui, Zhiyao; Wang, Xinrun; Zhang, Qiaosheng; Wang, Zhen; Wu, Dinghao; Hu, Shuyue (CoRR, 2025)

MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning. - Meng, Fanqing; Du, Lingxiao; Liu, Zongkai; Zhou, Zhixiang; Lu, Quanfeng; Fu, Daocheng; Shi, Botian; Wang, Wenhai; He, Junjun; Zhang, Kaipeng; Luo, Ping; Qiao, Yu; et al. (CoRR, 2025)

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. - Chen, Jianhao; Xun, Zishuo; Zhou, Bocheng; Qi, Han; Zhang, Qiaosheng; Chen, Yang; Hu, Wei; Qu, Yuzhong; Ouyang, Wanli; Hu, Shuyue (CoRR, 2025)

Capacity Region for Covert Secret Key Generation over Multiple Access Channels. - Zhang, Yingxin; Zhou, Lin; Zhang, Qiaosheng (CoRR, 2025)

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models. - Liu, Zongkai; Meng, Fanqing; Du, Lingxiao; Zhou, Zhixiang; Yu, Chao; Shao, Wenqi; Zhang, Qiaosheng (CoRR, 2025)

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision. - Du, Lingxiao; Meng, Fanqing; Liu, Zongkai; Zhou, Zhixiang; Luo, Ping; Zhang, Qiaosheng; Shao, Wenqi (CoRR, 2025)

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants. - Zhang, Yiqun; Li, Hao; Wang, Chenxu; Chen, Linyao; Zhang, Qiaosheng; Ye, Peng; Feng, Shi; Wang, Daling; Wang, Zhen; Wang, Xinrun; Xu, Jia; Bai, Lei; et al. (CoRR, 2025)

Unsupervised Skill Discovery through Skill Regions Differentiation. - Xiao, Ting; Zheng, Jiakun; Yang, Rushuai; Xu, Kang; Zhang, Qiaosheng; Liu, Peng; Bai, Chenjia (CoRR, 2025)

AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data. - Zhang, Qiaosheng; Wei, Yalong; Hou, Jie; Li, Hongpeng; Zhong, Zhaoman (BMC Bioinform., 2024)

Ensemble successor representations for task generalization in offline-to-online reinforcement learning. - Wang, Changhong; Yu, Xudong; Bai, Chenjia; Zhang, Qiaosheng; Wang, Zhen (Sci. China Inf. Sci., 2024)

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

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

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

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

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

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

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

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

Understanding When and Why Graph Attention Mechanisms Work via Node Classification. - Ma, Zhongtian; Zhang, Qiaosheng; Zhou, Bocheng; Zhang, Yexin; Hu, Shuyue; Wang, Zhen (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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