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

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

Online Preference Alignment for Language Models via Count-based Exploration - Chenjia Bai; Yang Zhang; Shuang Qiu; Qiaosheng Zhang; Kang Xu; Xuelong Li (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On the Role of General Function Approximation in Offline Reinforcement Learning - Chenjie Mao; Qiaosheng Zhang; Zhen Wang; Xuelong Li (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Constrained Ensemble Exploration for Unsupervised Skill Discovery - Chenjia Bai; Rushuai Yang; Qiaosheng Zhang; Kang Xu; Yi Chen; Ting Xiao; Xuelong Li (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 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; Xuelong Li (CoRR, 2024)

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

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

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

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

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

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

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)

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)

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 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)

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

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

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; Yiwen Wang; Gang Pan (IEEE Trans. Cogn. Dev. Syst., 2018)

Practical Considerations of a BMI Application for Detecting Acute Pain Signals - Sile Hu; Zhengdong Xiao; Qiaosheng Zhang; Louise Urien; Jing Wang; Zhe Chen (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

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

A real-time rodent neural interface for deciphering acute pain signals from neuronal ensemble spike activity - Sile Hu; Qiaosheng Zhang; Jing Wang; Zhe Chen (51st Asilomar Conference on Signals, Systems, and Computers, ACSSC 2017, Pacific Grove, CA, USA, October 29 - November 1, 2017, 2017)

Dorsal premotor area of the macaque monkey participates the preparation of grasp movements - Guanghao Sun; Shaomin Zhang; Kedi Xu; Qiaosheng Zhang; Junming Zhu; Yiyi Yang; Xiaoxiang Zheng (8th International IEEE/EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, May 25-28, 2017, 2017)

Quickest detection for abrupt changes in neuronal ensemble spiking activity using model-based and model-free approaches - Zhe Chen; Sile Hu; Qiaosheng Zhang; Jing Wang (8th International IEEE/EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, May 25-28, 2017, 2017)

A network-based pathway-expanding approach for pathway analysis - Qiaosheng Zhang; Jie Li; 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; 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; Xiwei She; Yuxi Liao; Hongbao Li; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng; José C. Príncipe (IEEE Trans. Biomed. Eng., 2016)

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface - Hongbao Li; Fang Wang; Qiaosheng Zhang; Shaomin Zhang; Yiwen Wang; Xiaoxiang Zheng; José C. Príncipe (38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA, August 16-20, 2016, 2016)

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

Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex - Hongbao Li; Yuxi Liao; Yiwen Wang; Qiaosheng Zhang; Shaomin Zhang; Xiaoxiang Zheng (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015, 2015)

Dorsal premotor cortex of the macaque monkey participate grasp planning - Guanghao Sun; Lichao Wang; Qiaosheng Zhang; Yiwen Wang; Kedi Xu; Shaomin Zhang; Xiaoxiang Zheng (7th International IEEE/EMBS Conference on Neural Engineering, NER 2015, Montpellier, France, April 22-24, 2015, 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 (7th International IEEE/EMBS Conference on Neural Engineering, NER 2015, Montpellier, France, April 22-24, 2015, 2015)

Cortical discrimination of natural vibration stimulation in rats for a BMI task - Yan Cao; Fang Wang; Qiaosheng Zhang; Kedi Xu; Yiwen Wang; Xiaoxiang Zheng (IEEE Biomedical Circuits and Systems Conference, BioCAS 2014, Proceedings, Lausanne, Switzerland, October 22-24, 2014, 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; Xiaoxiang Zheng (36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, IL, USA, August 26-30, 2014, 2014)

Clustering and observation on neuron tuning property for brain machine interfaces - Xiwei She; Yuxi Liao; Hongbao Li; Qiaosheng Zhang; Yiwen Wang; Xiaoxiang Zheng (International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014, Beijing, China, September 28-29, 2014, 2014)

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

The Convergence of Machine and Biological Intelligence - 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; et al. (IEEE Intell. Syst., 2013)

A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface - Xi Chen; Yuxi Liao; Yiwen Wang; Shaomin Zhang; Qiaosheng Zhang; Xiaoxiang Zheng (3rd IFAC International Conference on Intelligent Control and Automation Science, ICONS 2013, Sichuan, Chengdu, China, September 2-4, 2013, 2013)

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 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, CA, USA, August 28 - September 1, 2012, 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 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, CA, USA, August 28 - September 1, 2012, 2012)

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; Xiaoxiang Zheng; Ting Zhao (Int. J. Imaging Syst. Technol., 2011)

A pilot study on two stage decoding strategies - Bo Jiang; Rui Wang; Qiaosheng Zhang; Ji-cai Zhang; Xiaoxiang Zheng; Ting Zhao (33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, Boston, MA, USA, August 30 - Sept. 3, 2011, 2011)