Qiaosheng Zhang

According to our database, Qiaosheng Zhang authored at least 17 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2025

From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models.

Tiancheng Han, Yunfei Gao, Yong Li, Wuzhou Yu, Qiaosheng Zhang, Wenqi Shao

CoRR, August, 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, May, 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, May, 2025

Capacity Region for Covert Secret Key Generation over Multiple Access Channels.

Yingxin Zhang, Lin Zhou, Qiaosheng Zhang

CoRR, April, 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, Qiaosheng Zhang, Wenqi Shao

CoRR, March, 2025

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling.

Han Qi, Haochen Yang, Qiaosheng Zhang, Zhuoran Yang

CoRR, February, 2025

Community Detection for Contextual-Lsbm: Theoretical Limitations of Misclassification Rate and Efficient Algorithms.

Dian Jin, Yuqian Zhang, Qiaosheng Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2025

2024

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., December, 2024

A Theory of Learnability for Offline Decision Making.

Chenjie Mao, Qiaosheng Zhang

CoRR, 2024

2023

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

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 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

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

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

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

A network-based pathway-expanding approach for pathway analysis.

Qiaosheng Zhang, Jie Li, Haozhe Xie, Hanqing Xue, Yadong Wang

BMC Bioinform., 2016