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:

Bibliography

2026
Gated Graph Attention Networks with Learnable Temperature.
CoRR, May, 2026

SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction.
CoRR, May, 2026

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces.
CoRR, May, 2026

Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking.
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

Epistemic Traps: Rational Misalignment Driven by Model Misspecification.
CoRR, February, 2026

RAPO: Risk-Aware Preference Optimization for Generalizable Safe Reasoning.
CoRR, February, 2026

MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety.
CoRR, February, 2026

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

When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF.
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

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models.
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

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

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck.
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

A Theory of Learnability for Offline Decision Making.
CoRR, 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

Distance correlation application to gene co-expression network analysis.
BMC Bioinform., 2022

2016
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification.
Comput. Biol. Chem., 2016

A network-based pathway-expanding approach for pathway analysis.
BMC Bioinform., 2016


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