Hongzheng Yang

Orcid: 0000-0003-2628-5916

According to our database1, Hongzheng Yang authored at least 14 papers between 2021 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
RSTFA: Efficient Training-Free Human-Preference Alignment via Rejection Sampling for Text-to-Image Diffusion Models.
IEEE Trans. Image Process., 2026

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training.
CoRR, November, 2025

Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring.
CoRR, June, 2025

Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment?
CoRR, May, 2025

SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images.
IEEE Trans. Medical Imaging, 2022

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021


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