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Hanyang Peng

Orcid: 0000-0002-9715-473X

According to our database¹, Hanyang Peng authored at least 31 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases.

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CoRR, May, 2026

RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation.

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IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

High-Frequency Prioritized Sparse Attention Network for Image Restoration.

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IEEE Trans. Multim., 2026

Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference.

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CoRR, November, 2025

Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning.

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CoRR, October, 2025

Towards Robust In-Context Learning for Medical Image Segmentation via Data Synthesis.

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CoRR, September, 2025

Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation.

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CoRR, September, 2025

Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning in LLMs.

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CoRR, August, 2025

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam.

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CoRR, July, 2025

Simple Convergence Proof of Adam From a Sign-like Descent Perspective.

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CoRR, July, 2025

VoiceMark: Zero-Shot Voice Cloning-Resistant Watermarking Approach Leveraging Speaker-Specific Latents.

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CoRR, May, 2025

Building 3D In-Context Learning Universal Model in Neuroimaging.

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CoRR, March, 2025

VoiceMark: Zero-Shot Voice Cloning-Resistant Watermarking Approach Leveraging Speaker-Specific Latents.

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Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Neuroverse3D: Developing in-Context Learning Universal Model for Neuroimaging in 3D.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Correcting Large Language Model Behavior via Influence Function.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Re-Thinking the Effectiveness of Batch Normalization and Beyond.

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IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Online Self-Preferring Language Models.

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CoRR, 2024

ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation.

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Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

YuNet: A Tiny Millisecond-level Face Detector.

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Mach. Intell. Res., October, 2023

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Detect Faces Efficiently: A Survey and Evaluations.

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IEEE Trans. Biom. Behav. Identity Sci., 2022

2021

A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization.

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IEEE Trans. Image Process., 2021

Beyond softmax loss: Intra-concentration and inter-separability loss for classification.

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Neurocomputing, 2021

2019

Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss.

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IEEE Trans. Neural Networks Learn. Syst., 2019

2017

Feature selection by optimizing a lower bound of conditional mutual information.

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Inf. Sci., 2017

A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization.

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Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Natural image classification driven by human brain activity.

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Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Direct Sparsity Optimization Based Feature Selection for Multi-Class Classification.

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Direct l_(2, p)-Norm Learning for Feature Selection.

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CoRR, 2015

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