Qiaosheng Zhang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Qiaosheng Zhang 001 (New York University School of Medicine, NY, USA)
- Qiaosheng Zhang 002 (Shanghai Artificial Intelligence Laboratory, China)
Bibliography
2026
CoRR, May, 2026
CoRR, May, 2026
Misclassification Rate and Privacy-Utility Trade-offs in Graph Convolutional Networks via Subsampling Stability.
CoRR, May, 2026
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment.
CoRR, May, 2026
Finite Blocklength Covert Communication over Quasi-Static Multiple-Antenna Fading Channels.
CoRR, March, 2026
CiQi-Agent: Aligning Vision, Tools and Aesthetics in Multimodal Agent for Cultural Reasoning on Chinese Porcelains.
CoRR, March, 2026
To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning.
CoRR, February, 2026
CoRR, February, 2026
CoRR, February, 2026
CoRR, February, 2026
IEEE Trans. Inf. Theory, January, 2026
KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning.
CoRR, January, 2026
MM-Eureka: Toward Stable Multimodal Reasoning via Rule-based Reinforcement Learning with Policy Drift Control.
Trans. Mach. Learn. Res., 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
SaeGraphDTI: drug-target interaction prediction based on sequence attribute extraction and graph neural network.
BMC Bioinform., December, 2025
From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models.
CoRR, August, 2025
MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision.
CoRR, May, 2025
CoRR, May, 2025
MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning.
CoRR, March, 2025
Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling.
CoRR, February, 2025
Proceedings of the IEEE Information Theory Workshop, 2025
Community Detection for Contextual-Lsbm: Theoretical Limitations of Misclassification Rate and Efficient Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data.
BMC Bioinform., December, 2024
2023
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World.
CoRR, 2023
2022
Toward secure distributed data storage with error locating in blockchain enabled edge computing.
Comput. Stand. Interfaces, 2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems.
CoRR, 2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems.
CoRR, 2022
BMC Bioinform., 2022
2016
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification.
Comput. Biol. Chem., 2016
BMC Bioinform., 2016